Skill: thesethrose/context7 (version 1.0.3)

--- name: context7 description: Context7 MCP - Intelligent documentation search and context for any library metadata: version: 1.0.3 tags: ["documentation", "search", "context", "mcp", "llm"] clawdbot: requires: bins: ["node"] npm: true install: - id: "skill-install" kind: "skill" source: "clawdhub" slug: "context7" label: "Install Context7 skill" --- # Context7 MCP Context7 provides intelligent documentation search and context for any library, powered by LLMs. ## Setup 1. Copy `.env.example` to `.env` and add your Context7 API key: ```bash cp .env.example .env ``` Add your API key to `.env`: ``` CONTEXT7_API_KEY=your-api-key-here ``` Get your key from [context7.com/dashboard](https://context7.com/dashboard) 2. Install dependencies: ```bash npm install ``` ## Usage Context7 provides two main commands: ### Search Command Search for libraries by name with intelligent LLM-powered ranking: ```bash 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: ```bash 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 ```bash # 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 ``` ## API Reference ### 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


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