clangd-mcp

clangd-mcp

Bridges AI assistants to clangd for C/C++ code intelligence, providing tools for symbol search, definitions, references, type info, and more.

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README

clangd-mcp

Experimental — expect rough edges and breaking changes.

A minimal Model Context Protocol server that bridges AI assistants to clangd for C/C++ code intelligence.

How it works

Claude / Gemini  ←─ MCP (stdio) ─→  server.py  ←─ LSP (stdio) ─→  clangd

server.py speaks MCP to the AI client and LSP (JSON-RPC 2.0 over stdin/stdout) to clangd. The two protocols are bridged by nine tools:

Tool LSP call(s) Description
find_symbol workspace/symbol Search symbols by name (fuzzy)
get_definition workspace/symbol → textDocument/definition Show the definition site with source
find_references workspace/symbol → textDocument/references List every usage, grouped by file
get_type_info workspace/symbol → textDocument/hover Show type signature and doc comment
find_implementations workspace/symbol → textDocument/implementation Find concrete implementations of a virtual method or interface
get_callers workspace/symbol → prepareCallHierarchy → incomingCalls Find every call site that calls a function
get_callees workspace/symbol → prepareCallHierarchy → outgoingCalls Find every function called by a function
list_file_symbols textDocument/documentSymbol List all symbols defined in a file
get_type_hierarchy workspace/symbol → prepareTypeHierarchy → supertypes + subtypes Show base classes and derived classes

Requirements

  • Python ≥ 3.12
  • uv
  • clangd on $PATH (or specify --clangd)
  • A compile_commands.json for your project (CMake: cmake -DCMAKE_EXPORT_COMPILE_COMMANDS=ON)

Installation

uv tool install git+https://github.com/schuay/clangd-mcp.git

This installs a clangd-mcp command into an isolated environment and puts a shim on your $PATH. Upgrade later with:

uv tool upgrade clangd-mcp

Gemini CLI

curl -fsSL https://raw.githubusercontent.com/schuay/clangd-mcp/main/install-gemini.sh | bash

This installs the tool, prompts for project paths, and adds the server to ~/.gemini/settings.json. Requires jq.

Or add manually to ~/.gemini/settings.json:

{
  "mcpServers": {
    "clangd": {
      "command": "clangd-mcp",
      "args": [
        "--compile-commands-dir", "/path/to/your/build",
        "--workspace-dir", "/path/to/your/project",
        "--seed-file", "/path/to/your/project/src/main.cpp"
      ]
    }
  }
}

Options

All flags are optional:

Flag Default Description
--clangd clangd Path to the clangd binary
--compile-commands-dir (none) Directory containing compile_commands.json
--workspace-dir current directory Root of the C/C++ project
--seed-file (none) Source file to open at startup to trigger background indexing
--log-level WARNING DEBUG / INFO / WARNING / ERROR (to stderr)

Tests

uv run python tests.py
# or with pytest for coloured output:
uv run pytest tests.py -v

The test suite runs without a real clangd binary — it drives the LSP client with canned in-process responses and patches the global lsp object when testing the MCP tool handlers.

File structure

server.py        MCP server: tools, arg parsing, clangd lifecycle
lsp_client.py  LSP client: subprocess management, JSON-RPC framing, queries
tests.py       Unit tests (no clangd required)
pyproject.toml Dependencies (mcp>=1.0)

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