MCP / Skills Integration Catalog¶
Connect Claude Code (or any other CLI agent) to the apps you already use, without window-hopping. This page is a curated index of 62 MCP servers / Claude Skills / integrations grouped by use case (incl. research-workflow + multi-LLM-delegation dedicated sections).
How to use this catalog¶
- Looking for a specific tool's MCP: jump to the relevant section below
- Want to know what MCP / Skills / Plugins are: see RESOURCES.en.md "Three core terms" first, then Stage 5 — Claude Code Ecosystem
- Want hands-on exercises (install + test): see Stage 5.2 (MCP) and Stage 5.3 (Skills)
Inclusion direction (not strict rules)¶
- Official first: Anthropic / vendor-published MCP / Skill usually ranks higher
- Stars are a hint, not a gate: community repos around 100+ tend to be maintained, but "niche but useful" repos are welcome via PR with a sentence explaining why
- Metadata when possible: pull stars / license via
gh api; refresh whenever - Avoid (not forbidden): archived, long-stale, unclear-license repos — niche tools can be exceptions
Index¶
- Notes / Knowledge Base (7)
- Office Documents (Word / Excel / PowerPoint / PDF) (6)
- Google Workspace (2)
- Microsoft 365 (3)
- Dev Collaboration (GitHub / Atlassian / Slack…) (6)
- Databases (7)
- Browser Automation / Web Scraping (4)
- Design (Figma / Excalidraw) (3)
- Monitoring / Observability (3)
- Media / Streaming (YouTube / Spotify) (3)
- Chinese-language Ecosystem (9)
- Other Common (Cloudflare / Stripe…) (2)
- Research Workflow Skills (4)
- Multi-LLM Delegation Skills (3)
1. Notes / Knowledge Base¶
makenotion/notion-mcp-server ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 4k+ |
| License | NOASSERTION |
| Rating | ⭐⭐⭐⭐⭐ (official) |
What it does: Notion's official MCP server — query pages, create pages, manipulate databases. Audience: heavy Notion users for note-taking / project management / wikis — let the LLM pull data and write pages directly. Notes: requires Notion integration token; supports both read-only and read-write modes.
MarkusPfundstein/mcp-obsidian ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 3.5k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐ (community, most popular) |
What it does: read/write your Obsidian vault via the Obsidian REST API community plugin. Audience: heavy Obsidian users wanting Claude Code to organize daily notes, auto-link, search across files. Notes: requires the Local REST API plugin in Obsidian.
PleasePrompto/notebooklm-skill ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 6k+ |
| License | NOASSERTION |
| Rating | ⭐⭐⭐⭐ |
What it does: a Claude Code Skill that uses browser automation to query NotebookLM, with citation-backed answers. Audience: people who manage papers / research notes in NotebookLM but want to query from Claude Code in one prompt. Notes: requires Google account auth.
teng-lin/notebooklm-py ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 12k+ |
| License | NOASSERTION |
| Rating | ⭐⭐⭐⭐ |
What it does: unofficial NotebookLM Python API + CLI + agentic skill; broader feature set than the skill above, including capabilities the web UI doesn't expose. Audience: people doing programmatic / batch operations on NotebookLM (auto-create notebooks, bulk-import documents). Notes: unofficial; may break with Google policy changes — check the issue tracker before relying on it.
ergut/mcp-logseq ⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 264 |
| License | MIT |
| Rating | ⭐⭐⭐ |
What it does: read/write Logseq graph via Logseq's Local HTTP API. Audience: Logseq users automating daily journals, cross-page links, backlink queries. Notes: enable Logseq's HTTP API (Settings → Features → HTTP API).
skridlevsky/graphthulhu ⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 147 |
| License | MIT |
| Rating | ⭐⭐⭐ (covers both Logseq + Obsidian) |
What it does: 39 tools across navigation, search, analysis, writing, journals, flashcards, whiteboards. Audience: people using both Logseq and Obsidian who don't want two MCP servers. Notes: community project; broad tool surface but each tool is relatively basic.
ankimcp/anki-mcp-server ⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 254 |
| License | MIT |
| Rating | ⭐⭐⭐ |
What it does: create / query / batch-edit Anki decks via AnkiConnect. Audience: people using Anki for languages / medicine / law — let the LLM auto-generate cards from study material. Notes: requires Anki Desktop + the AnkiConnect addon.
2. Office Documents (Word / Excel / PowerPoint / PDF)¶
anthropics/skills ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 129k+ |
| License | NOASSERTION |
| Rating | ⭐⭐⭐⭐⭐ (official, must-install) |
What it does: Anthropic's official Agent Skills repo — includes docx / xlsx / pptx / pdf processing skills.
Audience: every Claude Code user — claude skill install and Claude can read/write Office files directly.
Notes: this is a Skills collection, not an MCP; lives in the Stage 5.3 Skills system.
haris-musa/excel-mcp-server ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 3.8k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐⭐ (most popular community Excel MCP) |
What it does: Excel file manipulation MCP — read / write / modify cells, formulas, sheets. Audience: people working with Excel reports daily who want LLM-driven data filling and cleanup. Notes: Python-based, depends on openpyxl.
GongRzhe/Office-PowerPoint-MCP-Server ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 1.7k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐ |
What it does: PPT manipulation via python-pptx — create decks, edit slides, insert images, change layouts.
Audience: people who want LLMs to auto-generate decks from outlines / Markdown (consultants, lecturers, students).
Notes: overlaps with anthropics/skills's pptx skill; use this when the official one isn't enough.
SylphxAI/pdf-reader-mcp ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 688 |
| License | MIT |
| Rating | ⭐⭐⭐⭐ (high-throughput PDF) |
What it does: high-speed PDF parsing MCP, ~5-10× faster than anthropics/skills's pdf skill (per their claim).
Audience: people doing batch reads of papers / contracts / reports.
Notes: parallel processing; noticeable on large PDFs.
tfriedel/claude-office-skills ⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 590 |
| License | NOASSERTION |
| Rating | ⭐⭐⭐ (Office skill add-on) |
What it does: extends anthropics/skills with Office workflows it doesn't cover (automation, advanced formatting).
Audience: people who find the official docx/xlsx/pptx skills too coarse-grained.
Notes: complements anthropics/skills, not a replacement.
kreuzberg-dev/kreuzberg ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 8.2k+ |
| License | NOASSERTION |
| Rating | ⭐⭐⭐⭐ |
What it does: 97+ document format parser framework, Rust core. Provides MCP server + REST API + CLI. Audience: cross-format batch parsing engineers who care about throughput. Notes: covers obscure formats like HWP, ODT, etc., not just PDF / Office.
3. Google Workspace¶
taylorwilsdon/google_workspace_mcp ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 2.3k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐⭐ (one server, all of Google) |
What it does: Gmail, Calendar, Docs, Sheets, Slides, Drive, Chat, Forms, Tasks, Search — all in one MCP server. Audience: heavy Google Workspace users — replying to email, scheduling, writing docs, manipulating sheets, all from one server. Notes: OAuth setup is a bit involved but only needs to be done once; most complete coverage of Google's tools.
xing5/mcp-google-sheets ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 844 |
| License | MIT |
| Rating | ⭐⭐⭐⭐ (Sheets-only) |
What it does: focused Google Sheets / Drive integration — create sheets, edit cells, query formulas.
Audience: people using only Google Sheets who don't want the full Workspace MCP.
Notes: narrower scope than google_workspace_mcp, but simpler setup.
4. Microsoft 365¶
Softeria/ms-365-mcp-server ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 681 |
| License | MIT |
| Rating | ⭐⭐⭐⭐ (full M365) |
What it does: M365 + Office services via Microsoft Graph API — Outlook, Teams, OneDrive, SharePoint. Audience: enterprise M365 users wanting LLM-driven email replies, calendar lookups, OneDrive operations. Notes: requires Azure AD app registration; corporate IT policies may block this.
ryaker/outlook-mcp ⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 363 |
| License | NOASSERTION |
| Rating | ⭐⭐⭐ (Outlook only) |
What it does: Outlook mail / calendar via Graph API.
Audience: people who only need Outlook, not the rest of M365.
Notes: narrower scope than ms-365-mcp-server.
merill/lokka ⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 244 |
| License | MIT |
| Rating | ⭐⭐⭐ |
What it does: M365 + Microsoft Graph admin operations — Entra (AD), Intune, etc. Audience: M365 system admins managing tenants / users / policies. Notes: more useful for IT admins than end users.
5. Dev Collaboration (GitHub / Atlassian / Slack…)¶
github/github-mcp-server ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 29.5k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐⭐ (official) |
What it does: GitHub's official MCP — issues / PRs / repos / Actions / Codespaces. Audience: every GitHub user; once Claude Code is wired up, PR review, issue triage, release notes all work. Notes: must-install for Track A's A3 Exercise CLI-9.
sooperset/mcp-atlassian ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 5.1k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐⭐ (most popular community Atlassian) |
What it does: Confluence + Jira in one MCP, more flexible than the official remote.
Audience: people using Atlassian who find the official remote server too restrictive.
Notes: pick this OR atlassian/atlassian-mcp-server (official) depending on your IT policy.
atlassian/atlassian-mcp-server ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 650+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐ (official) |
What it does: Atlassian's official Remote MCP, secure connection to Jira / Confluence. Audience: companies with enterprise Atlassian + IT policies requiring official tooling. Notes: remote model with official SLA.
korotovsky/slack-mcp-server ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 1.6k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐ (no admin permissions needed) |
What it does: Slack MCP — DMs, group DMs, channel messages, with built-in history fetch logic. Audience: individual users (not Slack admins) who still want LLM-Slack integration. Notes: doesn't need admin tokens; uses user-level OAuth.
jerhadf/linear-mcp-server ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 344 |
| License | NOASSERTION |
| Rating | ⭐⭐⭐⭐ |
What it does: Linear (issue tracker) MCP — query issues, create issues, change status. Audience: developers managing sprints / backlogs in Linear. Notes: requires Linear API key.
SaseQ/discord-mcp ⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 298 |
| License | MIT |
| Rating | ⭐⭐⭐ |
What it does: Discord MCP — read/write channel messages, manage servers. Audience: maintainers running OSS / community Discord servers. Notes: requires Discord bot token; watch rate limits.
safishamsi/graphify ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 44k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐⭐ |
What it does: AI coding skill that turns codebases / SQL schemas / R scripts / shell scripts / docs / papers / images / videos into a queryable knowledge graph. Works across Claude Code, Codex, OpenCode, Cursor, Gemini CLI. Audience: engineers / researchers analyzing large codebases, tracking cross-file references, or asking questions across "app code + DB schema + infra" together. Notes: cross-cutting tool — fits both dev collaboration (understanding existing codebases) and research workflow (turning any artifact into a graph). When stuck on a big codebase, use graphify to extract structure, then feed it back to Claude for reasoning.
6. Databases¶
googleapis/mcp-toolbox ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 15k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐⭐ (Google official, multi-DB) |
What it does: cross-DB MCP server — MySQL / PostgreSQL / Cloud SQL / Spanner / BigQuery. Audience: engineers running databases on Google Cloud, or anyone needing multi-engine support. Notes: open-source + Google-maintained; production-grade choice.
bytebase/dbhub ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 2.7k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐⭐ (community multi-DB) |
What it does: zero-dependency, token-efficient multi-DB MCP — Postgres, MySQL, SQL Server, MariaDB, SQLite.
Audience: engineers who don't want the Google Cloud SDK and need cross-OSS-DB support.
Notes: overlaps with googleapis/mcp-toolbox but lighter weight.
supabase-community/supabase-mcp ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 2.7k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐⭐ (Supabase official-community) |
What it does: connect Supabase (Postgres, Auth, Storage, Edge Functions) to LLMs. Audience: full-stack devs using Supabase as backend. Notes: official community-maintained.
timescale/pg-aiguide ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 1.7k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐ (Postgres coding aid) |
What it does: MCP server + Claude plugin to help LLMs write better PostgreSQL code. Audience: Postgres-heavy SQL writers / DBAs. Notes: focused on "LLM writes better SQL", not just query execution.
benborla/mcp-server-mysql ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 1.6k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐ (read-only MySQL) |
What it does: read-only MySQL MCP — let the LLM see schemas, run queries. Audience: scenarios where the LLM should analyze production DBs but never modify them. Notes: read-only is a safety feature, not a limitation.
mongodb-js/mongodb-mcp-server ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 1k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐ (MongoDB official) |
What it does: MongoDB and MongoDB Atlas Cluster MCP server.
Audience: engineers using MongoDB / Atlas.
Notes: mongodb-js is MongoDB's official GitHub org.
redis/mcp-redis ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 504 |
| License | MIT |
| Rating | ⭐⭐⭐⭐ (Redis official) |
What it does: official Redis MCP — natural-language operations on Redis and Redis Stack (Vector / Search / JSON). Audience: people using Redis as cache / vector DB / queue. Notes: officially maintained; includes vector search.
7. Browser Automation / Web Scraping¶
microsoft/playwright-mcp ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 32k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐⭐ (Microsoft official) |
What it does: Playwright MCP server — let the LLM open browsers, click buttons, fill forms, scrape pages. Audience: anyone doing E2E automation, cross-site integration, scraping behind logins. Notes: official Playwright; most robust. First choice for Claude Code + web automation.
ChromeDevTools/chrome-devtools-mcp ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 38k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐⭐ (Chrome official) |
What it does: expose Chrome DevTools to coding agents — performance, network, console traces all available to the LLM. Audience: developers debugging frontend bugs, doing web performance analysis. Notes: pairs perfectly with Playwright MCP — one drives, one observes.
firecrawl/firecrawl-mcp-server ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 6.2k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐⭐ (Firecrawl official) |
What it does: Firecrawl's official MCP — large-scale web scraping + search + structured extraction. Audience: people scraping large amounts of web data for training / RAG / research. Notes: requires Firecrawl API key (has a free tier).
browserbase/mcp-server-browserbase ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 3.3k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐ (Browserbase official) |
What it does: Browserbase's official MCP, paired with Stagehand for cloud-based browser automation. Audience: people whose local browser automation is too heavy / who need parallel cloud sessions. Notes: commercial service (free tier exists); complementary to Playwright MCP (local vs cloud).
8. Design (Figma / Excalidraw)¶
GLips/Figma-Context-MCP ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 14.6k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐⭐ (most popular Figma MCP) |
What it does: feed Figma layout info to coding agents — read design files, expose component structure, let Cursor / Claude Code generate matching React components. Audience: front-end devs going from Figma designs to component code. Notes: requires Figma access token; must-install for design-to-code workflows.
excalidraw/excalidraw-mcp ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 4.3k+ |
| License | NOASSERTION |
| Rating | ⭐⭐⭐⭐⭐ (Excalidraw official) |
What it does: streamable Excalidraw MCP — let LLMs draw architecture diagrams and flowcharts directly. Audience: anyone writing design docs / system architecture / flowcharts who wants Claude to draw from text. Notes: official Excalidraw; output imports straight into Excalidraw for editing.
yctimlin/mcp_excalidraw ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 1.9k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐ (alternative Excalidraw) |
What it does: MCP server + Claude Code Skill, real-time canvas sync, create / edit / export. Audience: people who need real-time canvas sync and programmatic operation. Notes: complementary to the official; community-maintained.
pbakaus/impeccable ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 25k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐⭐ |
What it does: "The design language that makes your AI harness better at design." A vocabulary / pattern set that helps AI agents produce UI / visual output that escapes the generic "AI-generated" feel. Audience: developers using AI to generate UI / mockups / visual designs but getting generic results; front-end + AI workflows. Notes: not an MCP server or Skill bundle — it's a design language reference. Feed AI the higher-quality design vocabulary and it produces better output.
9. Monitoring / Observability¶
grafana/mcp-grafana ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 3k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐⭐ (Grafana official) |
What it does: Grafana's official MCP — query dashboards / metrics / alerts from the LLM. Audience: SREs / DevOps using Grafana for metrics. Notes: "why did this dashboard line drop?" — ask, and the LLM pulls metrics for the answer.
getsentry/sentry-mcp ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 677 |
| License | NOASSERTION |
| Rating | ⭐⭐⭐⭐ (Sentry official) |
What it does: query Sentry error events / issues / traces from LLMs. Audience: engineers using Sentry for production errors. Notes: "show me last week's stack trace for this error" works directly in Claude Code.
winor30/mcp-server-datadog ⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 142 |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐ (community Datadog) |
What it does: Datadog API MCP — monitors / logs / metrics. Audience: Datadog users while there's no official Datadog MCP yet. Notes: likely to be replaced once Datadog ships an official MCP.
10. Media / Streaming (YouTube / Spotify)¶
varunneal/spotify-mcp ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 599 |
| License | MIT |
| Rating | ⭐⭐⭐⭐ |
What it does: connect LLMs to Spotify — play tracks, manage playlists, query history. Audience: anyone integrating playback control or text → music workflows with Claude Code. Notes: requires Spotify Premium (API restriction).
kimtaeyoon83/mcp-server-youtube-transcript ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 534 |
| License | MIT |
| Rating | ⭐⭐⭐⭐ (YouTube transcripts) |
What it does: pull YouTube video transcripts into the LLM for summary / translation / RAG. Audience: people using video as study material, batch-summarizing YouTube content. Notes: depends on YouTube auto-captions; non-English transcripts are hit-or-miss.
ZubeidHendricks/youtube-mcp-server ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 510 |
| License | NOASSERTION |
| Rating | ⭐⭐⭐⭐ (full YouTube API) |
What it does: full YouTube API MCP — beyond transcripts, also video management, Shorts, analytics. Audience: YouTube creators automating channel management. Notes: requires YouTube Data API key + OAuth.
11. Chinese-language Ecosystem¶
leemysw/feishu-docx ⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 193 |
| License | MIT |
| Rating | ⭐⭐⭐ |
What it does: bidirectional Feishu (Lark) docs / sheet / bitable ↔ Markdown, with OAuth 2.0, CLI, TUI, Claude Skills. Audience: Chinese-language users on Feishu / Lark wanting to bridge Lark content with Claude Code. Notes: currently one of the few MCP / Skill options in the Chinese ecosystem; WeChat / DingTalk don't have standalone MCPs yet (they live inside chatbot frameworks).
netease-youdao/LobsterAI ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 5k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐ |
What it does: NetEase Youdao's "24/7 all-scenario AI agent" — workflow automation, cross-app coordination, file processing. Chinese-native. Audience: Chinese-language users wanting an alternative to Claude Code / OpenAI Operator-class all-in-one agents; scenarios needing tight integration with mainland Chinese services (NetEase, DingTalk, etc.). Notes: product-style agent (not a Skill / MCP); substitutes for Claude Code / Codex rather than complementing them.
QwenLM/Qwen-Agent ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 16k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐⭐ |
What it does: Alibaba's official Qwen agent framework — RAG, tool use, code interpreter, multi-agent, MCP-compatible. Defaults to Qwen models but swappable to other LLMs. Audience: developers using Qwen / Tongyi as primary LLM; teams that want a Chinese-native agent framework (examples + docs are bilingual but Chinese-first). Notes: MCP compatibility is the highlight — plugs into Claude Code-style hosts directly; active maintenance (last commit 2026-03).
coze-dev/coze-studio ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 20k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐⭐ |
What it does: open-source release of ByteDance Coze — no-code agent builder (workflow / plugin / knowledge / memory), self-hosted or cloud. Audience: teams building agents without writing code; engineers wanting a reference implementation of an enterprise agent platform (RAG, workflow, memory, plugin system). Notes: built on Coze's in-house Eino framework; connects to OpenAI / Claude / Qwen / domestic Chinese LLMs. Powers both the international (coze.com) and mainland (coze.cn) products.
coze-dev/coze-loop ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 5k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐ |
What it does: Coze's agent observability + evaluation platform — trace, debug, eval, prompt management. The back half of the agent dev lifecycle. Audience: teams whose agents are running in production and need monitoring; developers wanting to see how "agent eval / observability" can be designed. Notes: peer to LangSmith / Arize Phoenix; OSS release is self-hostable.
liaokongVFX/LangChain-Chinese-Getting-Started-Guide ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 8.9k+ |
| License | unspecified |
| Rating | ⭐⭐⭐⭐ |
What it does: Chinese-language LangChain getting-started guide — covers basics, prompts, memory, agents, chains, and applied examples. The earliest and most complete LangChain Chinese learning resource. Audience: Chinese-language users who want LangChain but find the English docs heavy; readers who want to understand LangChain's design before committing to the framework. Notes: no formal license (content is openly readable); LangChain itself moves fast — some APIs in the guide may diverge from the latest version.
chatchat-space/Langchain-Chatchat ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 37k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐ |
What it does: LangChain-based open-source knowledge-base QA system — local deployment, supports multiple vector stores, end-to-end RAG example. Audience: Chinese teams who want RAG without building it from scratch; scenarios requiring local-only deployment (no cloud LLM). Notes: ★ 37k makes it the most popular RAG implementation in the Chinese ecosystem; maintenance has slowed (last commit 2025-11). For new projects, fork and evaluate as a reference, not a turnkey base.
usewhale/whale ⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 117 |
| License | MIT |
| Rating | ⭐⭐⭐ |
What it does: Terminal AI coding assistant optimized for DeepSeek models — supports MCP server integration, Claude-style Skills, conversation caching, written in Go. Audience: Chinese developers who use DeepSeek as their primary LLM; those who want a terminal tool without the full Claude Code stack. Notes: One of the few open-source tools with DeepSeek-specific optimization; MCP + Skills dual support allows incremental capability expansion.
simonlin1212/a-stock-data ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 492 |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐ |
What it does: China A-share market data toolkit — a single SKILL.md file wrapping 8 data sources (mootdx, EastMoney, akshare, iwencai, etc.) with 21 endpoints, directly usable by AI coding assistants.
Audience: Chinese developers using Claude Code / Codex / OpenClaw for investment research or quantitative analysis; those who don't want to build data-fetching logic from scratch.
Notes: Installable with a single curl + pip install; highest-starred community Skill for Chinese A-share data. Compatible with Claude Code, Codex, and OpenClaw.
Looking for WeChat / DingTalk integrations? Today the mainstream is chatbot frameworks (e.g., zhayujie/CowAgent), not pure MCP servers. Will add when proper MCPs emerge.
MoonshotAI/Kimi-K2 ⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 10.7k+ |
| License | Modified MIT |
| Rating | ⭐⭐⭐ |
What it does: Moonshot's Kimi K2 open-weight LLM series — open weights + OpenAI/Anthropic-compatible API, oriented toward agentic / coding / long-horizon tasks; usable as a backend model for an agent stack. Audience: Chinese developers who want to run agent / coding workflows on a domestic open model, or to self-host open weights. Notes: License is Modified MIT (standard MIT + added large-scale-commercial clauses) — read the original LICENSE before commercial use; weights are also available on Hugging Face.
zai-org/GLM-4.5 ⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 4.3k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐ |
What it does: Zhipu (Z.ai)'s GLM-4.5 open model — positioned as Agentic, Reasoning, and Coding (ARC) foundation models; open weights + API, usable as a backend for agent / tool use / coding. Audience: Chinese developers evaluating domestic open agentic models, or who need weights under a permissive license (Apache-2.0). Notes: zai-org is Zhipu's open-source org; the same series also has GLM-4 (★ 7k+) for context; weights are on Hugging Face.
12. Other Common (Cloudflare / Stripe…)¶
cloudflare/mcp-server-cloudflare ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 3.7k+ |
| License | Apache-2.0 |
| Rating | ⭐⭐⭐⭐⭐ (Cloudflare official) |
What it does: Cloudflare's official MCP — Workers, Pages, R2, KV, D1, DNS, Zero Trust. Audience: anyone running edge / serverless on Cloudflare. Notes: officially maintained; the best edge platform MCP.
stripe/ai ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 1.5k+ |
| License | MIT |
| Rating | ⭐⭐⭐⭐ (Stripe official) |
What it does: Stripe's official AI agent toolkit, includes an MCP server — handle payments, subscriptions, refunds, customers. Audience: developers wiring payment / billing into agent flows. Notes: ⚠️ this is real money. Test thoroughly in sandbox before going to production.
13. Research Workflow Skills (academic / paper / lit)¶
⚠️ Maintainer's own projects: the following are skills the repo maintainer @WenyuChiou (Lehigh CEE PhD candidate) uses daily for research and open-sourced for other researchers. Star counts are lower than general-purpose tools because these are niche / research-specific. The ★ 100+ inclusion floor is relaxed in this section — the only criterion here is "actually useful in the maintainer's research workflow". Evaluate fit yourself.
WenyuChiou/ai-research-skills ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 60 |
| License | MIT |
| Rating | ⭐⭐⭐⭐⭐ (full research workflow) |
What it does: 14 Claude Code skills covering common research tasks — literature triage, research design, project context, manuscript writing, multi-AI delegation. Packaged as a 5-plugin marketplace, install with one command. Audience: grad students / postdocs wanting a complete "research workflow" skill set in one drop. Notes: marketplace format, aligns with the plugin/marketplace concept taught in Stage 5.4.
WenyuChiou/academic-writing-skills ⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 2 |
| License | MIT |
| Rating | ⭐⭐⭐ (narrow but deep) |
What it does: rigorous academic paper writing / revision / submission skill for Claude Code. Field-agnostic, customizable per-paper via journal_format.md and style_overrides.md. Audience: researchers actively writing / revising papers who want to automate banned-word audit, figure-text coupling, submission checklists. Notes: one of the 5 plugins inside ai-research-skills; can also be installed standalone.
WenyuChiou/zotero-skills ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 16 |
| License | NOASSERTION |
| Rating | ⭐⭐⭐⭐ |
What it does: Zotero CLI skill — programmatically search, add, classify, annotate references.
Audience: Zotero users wanting Claude Code to organize their library directly.
Notes: complementary to MuiseDestiny/zotero-gpt — that one is a Zotero plugin (chat inside Zotero), this one is a CLI / Skill (operate Zotero from Claude Code).
WenyuChiou/research-hub ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 14 |
| License | MIT |
| Rating | ⭐⭐⭐⭐ |
What it does: AI-operable research workspace bridging Zotero + Obsidian + NotebookLM, with CLI / MCP / REST / dashboard interfaces. Audience: researchers using Zotero / Obsidian / NotebookLM together, wanting to bind them into one workspace for LLMs to operate. Notes: complementary to single-tool MCPs (mcp-obsidian, notion-mcp, etc.) — this is a hub that integrates multiple tools.
14. Multi-LLM Delegation Skills¶
⚠️ Maintainer's own projects (same as 13): delegation skills the maintainer extracted from daily workflow. Star floor is relaxed; criterion is "the Claude-planner + Codex/Gemini-executor combo runs reliably". Multi-LLM space evolves quickly — evaluate alongside the multi-agent frameworks listed in Stage 7 before adopting.
How the three skills compose¶
The 3 skills below are designed to be used together, not as standalone tools:
Claude is bad at token-heavy mechanical work (cost, context blowout); Codex is bad at conversational coordination; Gemini's 1M context is great but mid-tier reasoning. Division of labor: Claude handles design / review, Codex handles implementation, Gemini handles long-form drafting / synthesis.
WenyuChiou/codex-delegate ⭐⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 57 |
| License | MIT |
| Rating | ⭐⭐⭐⭐⭐ |
What it does: Claude Code skill that uses Codex CLI as the execution specialist — multi-file refactors, batch edits, boilerplate generation, wrapper-based implementation tasks. Claude writes the plan + reviews; Codex executes.
Audience: developers wanting to save tokens / accelerate large-scale mechanical edits; learners who want to verify "multi-agent isn't just a buzzword".
Use it for: refactoring 30+ files, generating test scaffolds, porting the same pattern across N files, writing migration scripts.
Don't use for: architecture decisions, bug diagnosis, security review, tasks needing conversation memory — Claude does these better directly.
Notes: pairs with gemini-delegate-skill. Practical implementation of the Stage 7 multi-agent concept.
WenyuChiou/gemini-delegate-skill ⭐⭐⭐⭐¶
| Field | Value |
|---|---|
| Stars | ★ 34 |
| License | MIT |
| Rating | ⭐⭐⭐⭐ |
What it does: Claude Code skill that uses Gemini CLI as the long-form / large-context / CJK executor — 1M-token context window, Chinese long-form drafting, second-opinion review. Claude provides the outline and critique; Gemini writes the long form.
Audience: researchers writing papers, knowledge workers writing Chinese reports / Threads posts, people who want a second LLM's perspective for cross-checking.
Use it for: long-form drafts (>3000 words), cross-document synthesis (stuffing many long docs into the 1M-token context), Chinese / CJK content, LLM-vs-LLM comparison views.
Don't use for: short queries, code generation (use codex), production-critical decisions (final human review).
Notes: pairs with codex-delegate for the "Codex writes code, Gemini writes prose" split.
WenyuChiou/agent-collab-skills ⭐⭐¶
| Field | Value |
|---|---|
| Stars | recently published, no stars yet |
| License | MIT |
| Rating | ⭐⭐ (experimental — treat as reference) |
What it does: Claude Code marketplace for multi-agent collaboration — task splitter, output reconciler, adversarial debate, shared memory, acceptance gate. Composes with codex-delegate / gemini-delegate. Audience: people running 2+ delegate agents per round who want to see one way of packaging multi-agent coordination into a marketplace. Notes: experimental — don't treat this as a production-grade framework. It's the maintainer's own setup made public as a reference. For production-grade multi-agent, see LangGraph / AutoGen / CrewAI in Stage 7.
What's not here?¶
If your integration isn't above, check these catalogs first:
wong2/awesome-mcp-servers— most complete community MCP server catalog, 150+ entries by categorypunkpeye/awesome-mcp-servers— another MCP server catalog, complementarymodelcontextprotocol/servers— Anthropic's official reference servers (filesystem, git, time, memory, fetch, sequential-thinking, …)travisvn/awesome-claude-skills— Claude Skills catalog
Want to add something?¶
- Open an issue with the repo link, why it should be added, and which category it fits.
- Or PR directly: add an entry under the relevant category in this format (Stars / License / Rating + What it does / Audience / Notes).
- Stars < 100 + non-official typically gets rejected unless you can argue a strong niche use case.
Read resources/style-guide.md and CONTRIBUTING.md before submitting.
Notes for anyone helping out later¶
Not an SLA — just "do what you can" guidance:
- Pull stars / license via
gh api repos/<owner>/<repo>. Refresh whenever you have time — no fixed cadence. - Spot a broken link / archived repo? Just remove it.
- New category (AR/VR, IoT, etc.) — open it once you have 1-2 entries worth listing.
- "Chinese-language ecosystem" stays loose; Chinese-community repos accumulate stars more slowly.
- Inconsistent wording or formatting between entries — don't sweat it. Readability of the PR comes first.