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    3. Context 7

    Context 7

    A lightweight, modular MCP-compatible memory and agent protocol server designed for privacy-first, on-device AI agents. Supports local and cloud-based LLMs with persistent, session-aware memory. Also integrates real-time, up-to-date documentation directly into your coding environment, providing accurate and context-aware API information to streamline development workflows and reduce errors.

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    About this tool

    Context7

    Context7 is a lightweight, modular MCP-compatible memory and agent protocol server focused on privacy-first, on-device AI agents. It provides up-to-date, version-specific documentation and code examples directly into AI coding assistants and LLM prompts, helping developers avoid outdated or hallucinated APIs and reducing errors in code generation.

    Features

    • MCP-Compatible Server: Implements the Model Context Protocol (MCP), enabling seamless integration with various AI coding assistants and LLMs.
    • Privacy-First, On-Device AI: Designed to run locally, ensuring user privacy and control over data.
    • Supports Local and Cloud LLMs: Can be used with both local and cloud-based large language models.
    • Persistent, Session-Aware Memory: Maintains session context and persistent memory for enhanced agent interactions.
    • Up-to-Date Documentation: Fetches real-time, version-specific documentation and code examples from source repositories.
    • Context Injection: Integrates documentation and examples directly into your prompt context for LLMs and coding assistants like Cursor, Windsurf, Claude Desktop, VS Code, Zed, and more.
    • No Tab Switching: Eliminates the need to switch tabs or search for docs manually.
    • Multiple Installation Methods: Can be installed via Node.js (npx, bun, deno), Docker, and through integrations in various editors and environments.
    • Available Tools: Provides utilities like resolve-library-id (to resolve general library names) and get-library-docs (fetch documentation by library ID, with topic/tokens options).
    • Open Source: Licensed under MIT, with active development and community contributions.
    • Multilingual Documentation: Docs available in multiple languages (English, Chinese, Korean, Spanish, French, Portuguese, Italian, Indonesian, German).

    Installation & Integration

    • Installable via npx, bunx, or deno.
    • Docker support with provided Dockerfile.
    • Integrates with:
      • Cursor
      • Windsurf
      • Claude Desktop
      • Claude Code
      • VS Code (and VS Code Insiders)
      • Zed
    • Configuration snippets provided for each supported client/editor.

    Requirements

    • Node.js >= v18.0.0 (for local installs)
    • Compatible MCP client/editor (Cursor, VS Code, Windsurf, Claude Desktop, etc.)

    Development

    • Clone the repo and install dependencies with bun i.
    • Build with bun run build.

    License

    MIT

    Links

    • GitHub Repository
    • Official Website

    Pricing

    No pricing information is provided; Context7 is open source (MIT licensed).

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    Information

    Websitegithub.com
    PublishedMay 14, 2025

    Categories

    1 Item
    Ai Integration Mcp Servers

    Tags

    4 Items
    #mcp#memory#privacy#ai-agent

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