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by jonrad • DevOps & CI/CD
An MCP server that exposes Language Server Protocol (LSP) capabilities to LLMs/AI agents so they can get language-aware context from a codebase.
Access language-aware code context (definitions, references, document symbols, diagnostics) from a repository to perform accurate code analysis and edits.
Add TypeScript or other language LSP capabilities to chat copilots (e.g., Claude, Cursor) via Docker or npx without running a full IDE.
On-demand LSP instances and dynamic method discovery to support multi-language codebases and automated tooling workflows.
This project provides an MCP server that launches and proxies LSP servers on demand, allowing agents to query code intelligence (symbols, definitions, diagnostics, etc.) through the Model Context Protocol. It supports multiple LSPs, dynamically generates supported LSP methods from a JSON schema, and can be integrated with tools like Claude Desktop, Cursor, or an MCP CLI client. The server is a proof-of-concept aimed at giving LLMs language-aware context for analysis, refactoring, and code understanding.
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