How do I use mcp-tldr?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-tldr show the project tree" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

mcp-tldr

by BenMousaAmine

Overview Schema Related Servers Score Discussions

Python

Local

mcp-tldr

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

Prerequisites

Python 3.11+
tldr CLI installed and in your PATH (install instructions)

Related MCP server: code-analyze-mcp

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"

Install Server

license - not found

quality

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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