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Context7 Mcp

OrganizationPopular
upstash
context7-mcp

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.

Overview

Publisherupstash
Repositorycontext7
Skill namecontext7-mcp
Stars
62.6K
Forks
3K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by upstash on GitHub. Read the source before you install it.

Installation

Install the Context7 Mcp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/upstash/context7/tree/master/plugins/agent-plugins/context7/skills/context7-mcp
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/upstash/context7.git /tmp/context7
mkdir -p .claude/skills
cp -r /tmp/context7/plugins/agent-plugins/context7/skills/context7-mcp .claude/skills/context7-mcp
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Context7 Mcp in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Context7 Mcp on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Context7 Mcp is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Frequently asked questions

What does the Context7 Mcp AI skill do?

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 r...

Why use Context7 Mcp on TypingMind?

Because you install it once and use it with any model. Context7 Mcp is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Context7 Mcp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/upstash/context7/tree/master/plugins/agent-plugins/context7/skills/context7-mcp. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Context7 Mcp?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Context7 Mcp?

As many as you like. As long as a model supports skills, you can use Context7 Mcp with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Context7 Mcp AI skill free?

Yes. It is published on GitHub by upstash under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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