Provides Model Context Protocol (MCP) clients with multi-language code intelligence features such as completions, definitions, references, and static analysis by interfacing seamlessly with Language Server Protocol (LSP) through multilspy.
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An MCP server that exposes Language Server Protocol (LSP) capabilities through multilspy.
This project provides an MCP (Model Context Protocol) server that gives language models access to language intelligence features from the Language Server Protocol (LSP). It uses multilspy, a Python library that simplifies interfacing with various language servers.
pip install mcp-multilspy
Start the server directly:
mcp-multilspy
Or install it in Claude Desktop:
mcp install mcp-multilspy
Here's how to use this server with an MCP client:
# Initialize a TypeScript language server session session = await initialize_language_server( session_id="ts-session", project_root="/path/to/project", language="typescript" ) # Find where a symbol is defined definitions = await request_definition( session_id="ts-session", file_path="src/index.ts", line=10, # 0-indexed column=15 # 0-indexed ) # Find all references to a symbol references = await request_references( session_id="ts-session", file_path="src/index.ts", line=10, column=15 ) # Get code completion suggestions completions = await request_completions( session_id="ts-session", file_path="src/index.ts", line=10, column=15 ) # Get hover information hover_info = await request_hover( session_id="ts-session", file_path="src/index.ts", line=10, column=15 ) # Get document symbols symbols = await request_document_symbols( session_id="ts-session", file_path="src/index.ts" ) # Clean up when done await shutdown_language_server(session_id="ts-session")
MIT
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