Context7 Mcp

upstash/context7/plugins/agent-plugins/context7/skills/context7-mcp

作者 upstashfeef1b2f6078無授權條款62K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

Fetches current, version-specific library documentation and code examples through the Context7 MCP server. Use whenever the user asks about a library, framework, SDK, API, CLI tool, or cloud service, including API syntax, configuration, setup instructions, version migration, CLI usage, and library-specific debugging. Use when generating code that calls a third-party library, and when the user names a version such as Next.js 15 or React 19. Use even for well-known libraries like React, Vue, Next.js, Prisma, Supabase, Express, Tailwind, Django, and Spring Boot, because training data may not reflect recent changes. Prefer this over web search for library documentation. Do not use it for refactoring, writing scripts from scratch, debugging business logic, code review, or general programming concepts, or when the user has already supplied the relevant documentation.

AI 產生的概覽

透過 Context7 MCP 伺服器取得最新、特定版本的函式庫文件與程式碼範例。

功能
此技能指示代理透過 Context7 MCP 伺服器檢索函式庫、框架、SDK、API、CLI 工具與雲端服務的最新文件。它描述四個步驟:解析函式庫 ID、挑選最佳符合項目、依概念查詢文件,再將結果用於回答。產出為有文件依據的回答與程式碼範例,並在相關時標註函式庫版本。
適用情境
當使用者詢問函式庫、框架、SDK、API、CLI 工具或雲端服務時使用,包括安裝設定、API 語法、版本移轉與函式庫相關的除錯。也適用於產生呼叫第三方函式庫的程式碼,或使用者提到特定版本(例如 Next.js 15 或 React 19)時。不適用於重構、從零撰寫指令碼、除錯商業邏輯、程式碼審查或一般程式設計概念。
執行需求
需要存取 Context7 MCP 伺服器及其 resolve-library-id 與 query-docs 工具,並具備連線至該伺服器的網路存取能力。不附帶指令碼,僅為說明文件。

When the user asks about libraries, frameworks, or needs code examples, use Context7 to fetch current documentation instead of relying on training data.

When to Use This Skill

Activate this skill when the user:

  • Asks setup or configuration questions ("How do I configure Next.js middleware?")
  • Requests code involving libraries ("Write a Prisma query for...")
  • Needs API references ("What are the Supabase auth methods?")
  • Mentions specific frameworks (React, Vue, Svelte, Express, Tailwind, etc.)

How to Fetch Documentation

Step 1: Resolve the Library ID

Call resolve-library-id with:

  • libraryName: The library name extracted from the user's question
  • query: What to look up in the library's documentation (improves relevance ranking)

Step 2: Select the Best Match

From the resolution results, choose based on:

  • Exact or closest name match to what the user asked for
  • Higher benchmark scores indicate better documentation quality
  • If the user mentioned a version (e.g., "React 19"), prefer version-specific IDs

Step 3: Fetch the Documentation

Call query-docs with:

  • libraryId: The selected Context7 library ID (e.g., /vercel/next.js)
  • query: What to look up in the library's documentation, scoped to a single concept

If the user's question spans multiple distinct concepts (e.g. routing and auth and caching), make a separate query-docs call per concept with the same library ID, unless the question is about how the concepts interact. Combined queries dilute ranking and return shallow results for each topic.

Step 4: Use the Documentation

Incorporate the fetched documentation into your response:

  • Answer the user's question using current, accurate information
  • Include relevant code examples from the docs
  • Cite the library version when relevant

Guidelines

  • Be specific: Describe what to look up in the library's documentation, but keep each query to a single concept
  • One topic per query: Split multi-topic questions into separate query-docs calls. Resolve the library ID once, then query per concept, unless the question is about how the concepts interact
  • Version awareness: When users mention versions ("Next.js 15", "React 19"), use version-specific library IDs if available from the resolution step
  • Prefer official sources: When multiple matches exist, prefer official/primary packages over community forks

來源與署名

來源:upstash/context7位於plugins/agent-plugins/context7/skills/context7-mcp提交feef1b2

授權條款: 無授權條款

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