Context7 Mcp

upstash/context7/skills/context7-mcp

by upstashfeef1b2f6078ac8a33acd38d76817000af001373No license62K starsListed Oct 9, 2026Updated Oct 9, 2026Repository updated today

This skill should be used when the user asks about libraries, frameworks, API references, or needs code examples. Activates for setup questions, code generation involving libraries, or mentions of specific frameworks like React, Vue, Next.js, Prisma, Supabase, etc.

AI-generated overview

Fetches current library and framework documentation via Context7 MCP tools to answer API and code questions.

What it does
This skill instructs an agent to retrieve up-to-date documentation for libraries and frameworks through the Context7 MCP tools instead of relying on training data. It defines a four-step flow: resolve a library ID with resolve-library-id, pick the best match, fetch docs with query-docs, then incorporate the results, code examples and version details into the answer. It also gives guidance on splitting multi-concept questions into separate queries and preferring official packages.
When to use it
Use it when a user asks setup or configuration questions about a library, requests code involving a library, needs API references, or names a specific framework such as React, Vue, Next.js, Prisma or Supabase. It is also meant for version-specific questions where current documentation matters.
Requirements
Requires access to the Context7 MCP server and its resolve-library-id and query-docs tools, plus network access to fetch documentation. It ships no scripts; it is instructions only.

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

Source and attribution

Source:upstash/context7inskills/context7-mcpat commitfeef1b2

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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