tool-adapter-mcp-suite

Facilitate the connection and integration of Large Language Model (LLM) agents with diverse external Application Programming Interfaces (APIs) and utility services. Establishes a robust architectural foundation for developing applications that effectively harness external data sources and operational tools.

Illustrative MCP Gateway for Uber Eats

This artifact serves as a Proof-of-Concept (POC) demonstrating the establishment of an MCP gateway layered atop the Uber Eats ecosystem.

https://github.com/user-attachments/assets/05efbf51-1b95-4bd2-a327-55f1fe2f958b

Defining MCP

The Model Context Protocol (MCP) constitutes an open specification engineered to ensure fluid interoperability between sophisticated LLM constructs and external mechanisms.

Prerequisites

A runtime environment featuring Python version 3.12 or newer
Valid API credentials for Anthropic or an alternative supported generative model provider

Deployment Steps

Guarantee that a dedicated virtual environment is active: uv venv source .venv/bin/activate # For Unix-like or macOS systems
Install necessary library dependencies: uv pip install -r requirements.txt playwright install
Inject your proprietary API key into the configuration file named .env: ANTHROPIC_API_KEY=your_openai_api_key_here

Operational Note

Given that the chosen transport mechanism for MCP communication is standard input/output (stdio), all console output generated by the embedded browser functionality has been deliberately suppressed.