makabakaxy

makabakaxy / mcp2cli

Public

MCP -> CLI + SKILLs. 97% fewer tokens, no more parallel CLI/MCP maintenance.

49
3
100% credibility
Found Apr 07, 2026 at 49 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

mcp2cli converts AI tool servers into simple command-line tools and compact guides to save space and boost efficiency.

How It Works

1
🔍 Discover AI power-ups

You hear about smart extensions that let your AI handle real tasks like managing projects or databases.

2
📦 Grab the helper

You add a simple free tool that makes these extensions easy to use.

3
🔗 Connect your favorite

You pick one like a project manager and set it up in seconds.

4
✨ Command magic happens

Now type friendly phrases like 'show open tasks' and see results instantly.

5
🧠 AI stays sharp

Your AI gets a tiny guide instead of overload, thinking faster and smarter.

🎉 Daily wins unlocked

You breeze through work with powerful commands and super AI help.

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Star Growth

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AI-Generated Review

What is mcp2cli?

mcp2cli converts MCP servers—like mcp clickup, mcp github issues, or mcp github copilot—into hierarchical CLI commands and compact agent skills for tools like Claude, Cursor, and Codex. Instead of bloating AI context with thousands of raw tool schemas (e.g., 28k tokens for GitLab's 122 tools), it generates tiny skill files (~800 tokens) and a CLI proxy, cutting usage by 97%. Built in Python, you pip install, run `mcp2cli install mcp-atlassian` or `mcp2cli convert gitlab-mcp`, then call `mcp2cli gitlab mr list --project-id 123`.

Why is it gaining traction?

It eliminates parallel maintenance of CLI and MCP servers (e.g., glab vs. GitLab MCP), ensuring consistency via a daemon that proxies calls. Presets let you pull ready-to-use configs for mcp client ollama or mcp github n8n in seconds—no AI generation needed. Token savings and seamless sync to AI clients make mcp2cli a quick win for chaining mcp clients list without context overload.

Who should use this?

AI workflow builders integrating MCP servers into agents, like devs using mcp github copilot vscode for code reviews or mcp github project manager for issues. Teams with mcp client python or mcp client server setups tired of token limits in long sessions. Ideal for mcp clickup users automating tasks without full tool schemas.

Verdict

Try it if you're deep in MCP ecosystems—49 stars show early buzz, but 1.0% credibility reflects alpha maturity and thin docs. Solid for slashing tokens; pair with presets for production.

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