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Context7 - A platform providing up-to-date documentation and code examples for large models and AI editors.

Context7 is an AI tool from Upstash that provides up-to-date, version-specific documentation and code snippets for large language models (LLMs) and AI code editors. It works by parsing documents, enriching content, vectorizing, and rearranging...

What is Context7?

Context7, developed by Upstash, is an AI programming aid that provides up-to-date, version-specific documentation and code examples for large language models (LLMs) and AI code editors. Through steps such as parsing, enriching content, vectorizing, and re-ranking, it ensures developers have access to accurate and up-to-date code examples and documentation. Context7 supports various tools, such as Cursor, Windsurf, and Claude Desktop, and integrates via the Model Context Protocol (MCP).

When using Context7, developers simply need to add "use context7" to the prompt to automatically obtain the relevant context, improving the accuracy and reliability of code generation. It is suitable for rapidly updating frameworks or niche packages, significantly reducing the risk of generating incorrect or outdated code. Context7 is relatively simple to install and configure, supporting multiple installation methods, including through Smithery, Docker, etc.

Main functions of Context7

  • Real-time document retrievalPull the latest documentation and code examples from official sources (such as GitHub and official documentation websites) to ensure that developers have access to the most up-to-date information.
  • Version-specificIt can match the corresponding documentation and code examples based on the version of the target library, avoiding problems caused by version inconsistencies.
  • Seamless integrationSimply add the following to the prompt: use context7It can trigger document injection and integrates with various MCP-compatible clients (such as Cursor, Windsurf, Claude Desktop, etc.).
  • Reduce hallucination codesThis reduces the likelihood of AI generating non-existent or outdated APIs, thus improving the accuracy of code generation.
  • Multi-platform supportIt is compatible with a variety of development tools, such as Cursor, Windsurf, and VS Code.
  • Precise context extractionExtract clean, relevant code snippets from the latest documentation, containing only the code and description, with no extraneous content.
  • Extensive library supportIt currently supports over 6,000 popular libraries, and most mainstream frameworks can be found.
  • Free to useFor personal use, up to 50 free queries per day are allowed.
  • resolve_library_idFind the specific package by providing a fuzzy keyword for the specified library.
  • get_library_docs: Retrieves the documentation content of a specified package, providing actual documentation rather than search results.

How Context7 works

  • AnalysisExtract code snippets and examples from the documentation.
  • RichUse LLMs to add brief explanations and metadata.
  • Vectorization: Embed content for semantic search.
  • Re-rankingUse a custom algorithm to score the relevance of the results.
  • cache: Request from Redis for optimal performance.

Installation and configuration of Context7

  • Node.jsRequires Node.js >= v18.0.0.
  • Installation method:
    • Install via Smithery:
      • Claude Desktop:

      npx -y @smithery/cli install @upstash/context7-mcp --client claude

    • Install in Cursor:
      • Open Settings -> Cursor Settings -> MCP -> Add new global MCP server.
      • Or in ~/.cursor/mcp.json Add the following configuration to the file:
      {
"mcpServers":
{
"context7":
{
"command":
"npx",
"args":
["-y",
"@upstash/context7-mcp"]
}
}
}
    • Install in Windsurf:
      {
"mcpServers":
{
"context7":
{
"command":
"npx",
"args":
["-y",
"@upstash/context7-mcp"]
}
}
}
    • Install in VS Code:
      {
"servers":
{
"Context7":
{
"type":
"stdio",
"command":
"npx",
"args":
["-y",
"@upstash/context7-mcp"]
}
}
}
    • Install using Docker:
      • create Dockerfile:
      FROM node:18-alpine

WORKDIR /app

# Install the latest version globally
RUN npm install -g @upstash/context7-mcp

# Expose default port if needed (optional, depends on MCP client interaction)
# EXPOSE 3000

# Default command to run the server
CMD ["context7-mcp"]
      • Build the image:

      docker build -t context7-mcp .

      • Configure the MCP client:
      {
"mcpServers":
{
"Сontext7":
{
"autoApprove":
[],
"disabled":
false,
"timeout":
60,
"command":
"docker",
"args":
["run",
"-i",
"--rm",
"context7-mcp"],
"transportType":
"stdio"
}
}
}

Project address for Context7

Application scenarios of Context7

  • Customer service multi-turn dialogue managementIn customer service scenarios, when users switch topics multiple times during consultations, Context7 can maintain contextual coherence and avoid redundancy.
  • Long document analysisFor long documents (such as legal contracts), Context7 can process them in segments and integrate key clauses, breaking through the native context length limit of LLM.
  • Real-time data analysisIn real-time data analysis scenarios such as e-commerce user behavior monitoring, Context7 can combine historical behavior and real-time streaming data to generate recommendations or risk warnings.
  • AI-assisted programmingWhen using AI programming assistants, such as Cursor, add... use context7Context7 will automatically fetch the latest relevant documentation and code examples to help the AI model generate more accurate answers.
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