mcp-tldr

mcp-tldr

MCP server that exposes llm-tldr code analysis tools (tree, structure, context, search, impact, etc.) to MCP clients like Claude Code for project understanding and debugging.

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README

mcp-tldr

MCP server that exposes https://github.com/parcadei/llm-tldr code analysis tools to Claude Code (or any MCP client).

Prerequisites

Setup

git clone https://github.com/YOUR_USER/mcp-tldr.git
cd mcp-tldr
python3 -m venv .venv
.venv/bin/pip install -e .

Add to Claude Code

Add this to your ~/.claude.json under mcpServers:

{
  "mcpServers": {
    "tldr": {
      "type": "stdio",
      "command": "/absolute/path/to/mcp-tldr/.venv/bin/python",
      "args": ["server.py"],
      "cwd": "/absolute/path/to/mcp-tldr"
    }
  }
}

Replace /absolute/path/to/mcp-tldr with the actual path where you cloned the repo.

Alternatively, if tldr is not in your PATH, set the TLDR_BIN environment variable:

{
  "tldr": {
    "type": "stdio",
    "command": "/absolute/path/to/mcp-tldr/.venv/bin/python",
    "args": ["server.py"],
    "cwd": "/absolute/path/to/mcp-tldr",
    "env": {
      "TLDR_BIN": "/path/to/tldr"
    }
  }
}

Available Tools

Tool Description
tldr_tree File tree of a project
tldr_structure Code structure (classes, functions, imports)
tldr_context LLM-ready context for a function/class
tldr_search Pattern search across files
tldr_impact Find all callers of a function
tldr_calls Cross-file call graph
tldr_semantic Natural language code search
tldr_arch Detect architectural layers
tldr_warm Pre-build cache for faster queries
tldr_extract Full file analysis (classes, functions, methods)
tldr_cfg Control flow graph for a function
tldr_dfg Data flow graph for a function
tldr_slice Program slice (what affects line X)
tldr_dead Find unreachable/dead code
tldr_imports Parse imports from a file
tldr_importers Find all files importing a module
tldr_change_impact Find tests affected by changes
tldr_diagnostics Type-check and lint diagnostics

Usage

After setup, restart Claude Code. The tools will be available automatically. Example prompts:

  • "Use tldr_tree to show the structure of this project"
  • "Use tldr_context to explain the handleAuth function"
  • "Use tldr_impact to see what calls processPayment"

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