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by liuwenlonghub • APIs & Integration
A lightweight Python MCP server that exposes LimeAI access for MCP-compatible clients (e.g., Cursor) using a local process and an access token.
Call LimeAI from MCP-compatible clients (such as Cursor) to generate completions or use LimeAI features via a local server.
A simple local MCP endpoint that keeps the LIMEAI_ACCESS_TOKEN in the environment and forwards requests to the LimeAI service.
An easy-to-install Python-based MCP server with example Cursor configuration and uv-based virtual environment setup.
This repository provides a small Python MCP server to connect MCP-enabled clients to the LimeAI service using a user-provided LIMEAI_ACCESS_TOKEN. It includes setup instructions (requires Python 3.10+, uses the uv tool to create a venv and run the server) and example configuration for integrating with Cursor. The server simplifies running a local MCP endpoint that forwards requests to LimeAI, making it easy to use LimeAI within MCP workflows.
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