Graphify-Labs/graphify
Graphify transforms codebases, documentation, and other files into queryable knowledge graphs, enhancing developer productivity with local AST parsing and detailed edge explanations.
Awesome MCP › Software Development
Context7 MCP Server is a Model Context Protocol (MCP) server designed to provide up-to-date, version-specific code documentation and examples directly to large language models (LLMs) and AI code editors. This server enhances the accuracy and relevance of code generation by ensuring that the LLMs have access to the latest and most precise information about libraries and APIs, avoiding outdated or hallucinated code suggestions. The project addresses common issues faced by developers using LLMs for coding assistance, such as receiving outdated code examples, hallucinated APIs that do not exist, and generic answers that do not correspond to the specific package versions in use. Context7 MCP integrates seamlessly with various MCP clients like Cursor, Windsurf, Claude Desktop, Trae, and VS Code, allowing developers to add the server to their development environment easily. By including the phrase "use context7" in prompts, users can instruct the LLM to fetch the latest documentation and code examples from the Context7 server, which pulls data straight from the source. This process eliminates the need for switching tabs or searching for documentation manually, streamlining the coding workflow. The project supports multiple installation methods, including Node.js, Bun, and Deno, and offers detailed configuration instructions for different MCP clients. It also provides multilingual documentation to cater to a global audience. Additionally, Context7 encourages community contributions by providing a guide for adding or updating projects within the server's documentation database. Overall, Context7 MCP Server is a valuable tool for developers leveraging AI-assisted coding, ensuring that the generated code is accurate, current, and contextually relevant by integrating real-time, version-specific documentation into the AI's prompt context.
https://github.com/upstash/context7
Graphify transforms codebases, documentation, and other files into queryable knowledge graphs, enhancing developer productivity with local AST parsing and detailed edge explanations.
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