Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Context7 MCP
Context7 MCP - Intelligent documentation search and context for any library
skill openclawclawhub Free
Context7 MCP - Intelligent documentation search and context for any library
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- package-lock.json, package.json, query.ts, skill.md, tsconfig.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.3
Provenance
- Publisher
- TheSethRose
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Context7 MCP
Context7 provides intelligent documentation search and context for any library, powered by LLMs.
Setup
Copy .env.example to .env and add your Context7 API key: cp .env.example .env Add your API key to .env: CONTEXT7_API_KEY=your-api-key-here Get your key from context7.com/dashboard Install dependencies: npm install
Usage
Context7 provides two main commands:
Search Command
Search for libraries by name with intelligent LLM-powered ranking: npx tsx query.ts search <library_name> <query> # Examples: npx tsx query.ts search "nextjs" "setup ssr" npx tsx query.ts search "react" "useEffect cleanup" npx tsx query.ts search "better-auth" "authentication flow" This calls the Context7 Search API: GET https://context7.com/api/v2/libs/search?libraryName=<name>&query=<query> Response includes: id: Library ID (e.g., /vercel/next.js) name: Display name trustScore: Source reputation (0-100) benchmarkScore: Quality indicator (0-100) versions: Available version tags
Context Command
Retrieve intelligent, LLM-reranked documentation context: npx tsx query.ts context <owner/repo> <query> # Examples: npx tsx query.ts context "vercel/next.js" "setup ssr" npx tsx query.ts context "facebook/react" "useState hook" This calls the Context7 Context API: GET https://context7.com/api/v2/context?libraryId=<repo>&query=<query>&type=txt Response includes: title: Documentation section title content: Documentation text/snippet source: URL to source page
Quick Reference
# Search for documentation npx tsx query.ts search "library-name" "your search query" # Get context from a specific repo npx tsx query.ts context "owner/repo" "your question"
Best Practices
Get the most out of the Context7 API with these best practices:
Optimize Search Relevance
When using the /libs/search endpoint, always include the user's original question in the query parameter. This allows the API to use LLM-powered ranking to find the most relevant library for the specific task, rather than relying on a simple name match. Example: If a user asks about SSR in Next.js, search with: libraryName=nextjs query=setup+ssr This ensures the best ranking for the specific task.
Use Specific Library IDs
For the fastest and most accurate results with the /context endpoint, provide the full libraryId (e.g., /vercel/next.js). If you already know the library the user is asking about, skipping the search step and calling the context endpoint directly reduces latency.
Leverage Versioning
To ensure documentation accuracy for older or specific project requirements, include the version in the libraryId using the /owner/repo/version format. You can find available version tags in the response from the search endpoint.
Choose the Right Response Type
Tailor the /context response to your needs using the type parameter: Use type=json when you need to programmatically handle titles, content snippets, and source URLs (ideal for UI display). Use type=txt when you want to pipe the documentation directly into an LLM prompt as plain text.
Filter by Quality Scores
When programmatically selecting a library from search results, use the trustScore and benchmarkScore to prioritize high-quality, reputable documentation sources for your users.
Find Navigation Pages
Find navigation and other pages in this documentation by fetching the llms.txt file at: https://context7.com/docs/llms.txt
Context7 REST API
Search Endpoint: GET https://context7.com/api/v2/libs/search ?libraryName=<library_name> &query=<user_query> Context Endpoint: GET https://context7.com/api/v2/context ?libraryId=<owner/repo> &query=<user_query> &type=txt|json
Troubleshooting
No results found? Check your API key is valid Verify the library name is correct (e.g., 'react' not 'React') Authentication errors? Ensure CONTEXT7_API_KEY is set in .env Check your key hasn't expired at context7.com/dashboard
License
MIT
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Config1 Docs1 Scripts
- skill.md
- query.ts
- package-lock.json
- package.json
- tsconfig.json