AllBeAPI is a high-performance bridge that instantly exposes any Python environment—whether standard PyPI libraries or your own custom code—as a Model Context Protocol (MCP) server. It enables Large Language Models (Claude, ChatGPT, etc.) to execute local functions, manipulate dataframes, manage stateful objects, and interact with your system safely and efficiently. Built on the latest StreamableHTTP protocol for maximum compatibility with Claude Desktop, LangChain, and Cursor.
Hi Product Hunt! 👋
I’m TingjiaInFuture, the maker of AllBeAPI.
Like many of you, I've been heavily using Claude Desktop and Cursor recently. I wanted to give my LLM access to my local Python tools—data analysis scripts, database wrappers, and internal utilities.
But the process was frustrating. For every single function I wanted to expose, I had to:
1. Manually define a verbose JSON/YAML schema.
2. Write a server wrapper.
3. Serialize complex return types (like DataFrames) manually.
I thought: "Python already has type hints and docstrings. Why can't we just use those?"
So I built AllBeAPI.
It uses static analysis and runtime introspection to instantly turn any Python library (like `pandas`, `numpy`) or your own custom scripts into a fully compliant Model Context Protocol (MCP) server.
The "Magic" Part:
My favorite feature is State Management. Most tool bridges are stateless (Function A doesn't know about Function B). AllBeAPI allows the LLM to instantiate a Python class, keep it in memory, and call methods on it later. It feels like the LLM is actually "coding" in your environment.
It’s open-source (AGPL v3), and I’d love to hear your feedback.
Try exposing your own `utils.py` today and let me know how it goes! 🚀
Happy coding!
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