langtools-mcp
Supercharge AI agents with programming language tools
Install / Use
claude mcp add flothjl -- npx -y github:flothjl/langtools-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of langtools-mcp
langtools-mcp scores 58/100 on our quality scale, 2871st of 3,356 Development & Engineering skills we index.
Its MCP Server is 3.0 KB long, split into 7 sections with 3 code examples: a solid amount of guidance for an agent.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 15 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
- Our last check on 2026-09-18 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 75/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-29. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
langtools-mcp compared with similar skills
All 4 of these similar skills score higher than langtools-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| langtools-mcp (this skill)by flothjl | 58 | 3 | 15mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 86.0k | 13d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.0k | today | CLAUDE.md |
| rufloby ruvnet | 100 | 73.4k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.2k | today | CLAUDE.md |
Frequently asked questions
- How do I install langtools-mcp?
- Run
claude mcp add flothjl -- npx -y github:flothjl/langtools-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does langtools-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is langtools-mcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 75/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is langtools-mcp still maintained?
- The repository was last updated about 15 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
Skill content
View source on GitHublangtools-mcp
[!WARNING] 🚧 This is actively being developed, so expect issues. Currently focusing on compatibility with the on-machine AI agent Goose. 🚧
langtools-mcp is a Model Context Protocol (MCP) server and client toolkit that gives LLMs and AI agents unified access to real static analysis tools—including batch CLI checkers (like Ruff and go vet) and LSPs (like gopls, rust-analyzer, and more).
We've all been there:
- LLM writes code that doesn't compile due to hallucinating standard libraries that don't exist, syntax errors, etc.
- LLM writes functional code, but the style, formatting, and linting is non-existent (I'm looking at you, unused imports)
langtools-mcp aims to help solve this by letting your AI and agentic apps catch, explain, and even fix issues in code, by calling the same tools expert programmers use. The goal is simply for this MCP to be a tool that the LLM begins using as part of its dev cycle. Just like IDEs and LSPs supercharged humans' ability to quickly assess and fix issues during the dev process, langtools aims to do this with an MCP tool.
- 🧠 Supercharge Agents: Let your LLMs/AI validate, lint, and debug their own code.
- 🧩 Modular & Extensible: Add new languages/tools in minutes via strategies.
- ⚡ Daemon or Batch: Runs as a fast HTTP daemon for LSP and batch CLI tools.
Quickstart
Configuring for Project Goose
langtools:
args:
- --from
- https://github.com/flothjl/langtools-mcp
- langtools-mcp
bundled: null
cmd: uvx
description: null
enabled: true
env_keys: []
envs: {}
name: langtools-mcp
timeout: null
type: stdio
<p align="center">
<img src="./assets/goose_sample.png" style="width: 75%;">
</p>
Configuration Options
export LANGTOOLS_PYTHON_TOOLS='["ruff"]'
export LANGTOOLS_GO_GO_TOOLS='["vet"]'
| Language | Tools | | -------- | ------------- | | Python | ruff, pyright | | Go | vet |
Installation
git clone https://github.com/flothjl/langtools-mcp.git
cd langtools-mcp
uv sync # or pip install -e .[dev]
Requirements: Python 3.10+, plus ruff, pyright, and Go for Go support (must be in your PATH).
Roadmap & Supported Tools
- [x] Python: Ruff, Pyright (CLI)
- [x] Go: go vet (CLI)
- [ ] Rust: rust-analyzer (LSP)
- [ ] JavaScript/TypeScript: tsc, eslint (planned)
Want to add support for your favorite tool or language? Open a PR or start a Discussion!
Contributing
- Fork, clone, and submit a PR!
- Code and docs welcome for new languages, better error messages, and more.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
