mcp-api-expert

MCP.Pizza Chef: jwaldor

The mcp-api-expert is an MCP server designed to enable seamless REST API calls within the Model Context Protocol ecosystem. By simply providing API documentation and keys, it allows AI models to interact with external REST APIs effortlessly. This server acts as a bridge, integrating real-time external data into AI workflows, enhancing the model's capabilities to fetch, manipulate, and utilize live data from various services. It supports easy setup and integration, making it ideal for developers looking to extend AI functionality with external API data sources.

Use This MCP server To

Integrate external REST APIs into AI workflows Provide real-time data from APIs to language models Automate API calls with provided documentation and keys Enhance AI responses with live external data Simplify API authentication management for AI models Enable multi-step reasoning using external API data Bridge AI models with third-party web services

README

MCP API Connect

Model Context Protocol (MCP) server to connect to any REST API. All you have to do is provide API documentation and API keys in a message.

Setup with Claude Desktop

Install the package globally:

npm i -g mcp-api-connect

Run the setup command:

mcpapiconnect install

Restart Claude

mcp-api-expert FAQ

How do I provide API documentation and keys to mcp-api-expert?

You include the API docs and keys in a message to the server, which then uses them to make authenticated REST API calls.

Is mcp-api-expert compatible with multiple LLM providers?

Yes, it works with various LLMs including OpenAI, Claude, and Gemini by exposing REST API data in a model-readable format.

How do I install and set up mcp-api-expert?

Install globally via npm with 'npm i -g mcp-api-connect', run 'mcpapiconnect install', then restart your MCP host like Claude Desktop.

Can mcp-api-expert handle API authentication securely?

Yes, it manages API keys securely and scopes access to ensure safe interaction with external services.

Does mcp-api-expert support dynamic API endpoints?

Yes, it can call any REST API endpoint as long as the documentation and keys are provided.

How does mcp-api-expert improve AI model capabilities?

By integrating live external data, it enables models to perform real-time reasoning and provide up-to-date responses.

Can I use mcp-api-expert for multi-step workflows involving APIs?

Absolutely, it supports complex workflows by allowing sequential API calls and data integration.

Is there a limit to the number of APIs mcp-api-expert can connect to?

There is no inherent limit; it depends on your system resources and API rate limits.