Context7 Mcp

Community

StringKe

context7-mcp

Fetch current library documentation with Context7 MCP tools.

Overview

Publisher	StringKe
Repository	`dotfiles`
Skill name	`context7-mcp`
Stars	93
Forks	9
Bundled files	Instructions only
Links	Skill source Repository

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 StringKe 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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/StringKe/dotfiles/tree/main/ai/skills/context7-mcp
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.

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/StringKe/dotfiles.git /tmp/dotfiles
mkdir -p .claude/skills
cp -r /tmp/dotfiles/ai/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.

Context7 MCP

Use Context7 MCP to fetch current documentation whenever the user asks about a library, framework, SDK, API, CLI tool, or cloud service — even well-known ones like React, Next.js, Prisma, Express, Tailwind, Django, or Spring Boot. This includes API syntax, configuration, version migration, library-specific debugging, setup instructions, and CLI tool usage. Use even when you think you know the answer — your training data may not reflect recent changes. Prefer this over web search for library docs.

Do not use for: refactoring, writing scripts from scratch, debugging business logic, code review, or general programming concepts.

Steps

resolve-library-id with the library name and what to look up in the library's documentation. Use the official library name with proper punctuation (e.g., "Next.js" not "nextjs", "Customer.io" not "customerio", "Three.js" not "threejs")
Pick the best match by: exact name match, description relevance, code snippet count, source reputation (High/Medium preferred), and benchmark score (higher is better). Use version-specific IDs when the user mentions a version
query-docs with the selected library ID and what to look up in the library's documentation (not single words), scoped to a single concept. If the 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
Answer using the fetched docs

Frequently asked questions

What does the Context7 Mcp AI skill do?

Fetch current library documentation with Context7 MCP tools.

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/StringKe/dotfiles/tree/main/ai/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?

It is published on GitHub by StringKe. Check the repository for licensing terms. 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.

View all

Openclaw Refactor Docs

openclaw

OrganizationPopular

Refactor an existing OpenClaw docs page with source-audited preservation, restructuring, and verification.

Openclaw Repair Sweep

openclaw

OrganizationPopular

Run scoped OpenClaw issue/PR repair campaigns: coordinate workers, prove root causes, and land or close verified work under the requested authority.

Openclaw Test Performance

openclaw

OrganizationPopular

Benchmark, diagnose, and optimize OpenClaw test and plugin-suite runtime, import hotspots, CPU/RSS, heap growth, and slow coverage paths.

Openclaw Testing

Choose proportional OpenClaw tests and checks, diagnose failures, and route environment-sensitive or release proof to its owner.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Context7 MCP

Steps

Frequently asked questions

Related AI Skills

Set up your own AI workspace now