# AI interface

Tripo MCP Server is an interface project that connects AI assistants and Tripo AI, supporting the generation of 3D assets through natural language and importing them into Blender.

An MCP server for interacting with macOS Apple calendars, providing a standardized interface for AI models to access and manipulate calendar data.

MySQL MCP Server is a service component that implements the Model Context Protocol (MCP), providing a secure and structured interaction interface between AI applications and MySQL databases. It supports functions such as listing database tables, reading table content, and executing SQL queries. Database connections are configured through environment variables, emphasizing security and the principle of least privilege.

This project is an MCP server based on the FastMCP framework, specifically designed to provide structured resume information of Frank Goortani. It supports accessing resume data through a standardized interface, including personal profiles, skills, work experiences, etc., and has a search function. The project uses a modular architecture, supports local and HTTP communication, and can be deployed to Cloudflare Workers.

The MySQL MCP server is a secure interaction interface that allows AI assistants to access MySQL databases in a controlled manner, including viewing table structures, reading data, and executing queries.

An MCP server that provides a standardized interface for the Israeli Knesset information API, facilitating AI applications to query and interact with parliamentary data.

A Slack API server based on the MCP protocol that provides a standardized interface for AI assistants to interact with the Slack platform, supporting functions such as message sending, channel management, and user query.

The Honeycomb MCP Server is an interface service that enables Claude AI to interact with the Honeycomb API through the Model Context Protocol (MCP), implementing operations on datasets, queries, events, etc.

Implementation of the MCP server for Qwen Max, supporting integration with Claude Desktop and multi-model switching

Office-Word-MCP-Server is a server based on the Model Context Protocol that provides a standard interface for AI assistants to create, read, and operate Microsoft Word documents, supporting rich document editing functions.

The Perplexity AI MCP Server project provides standardized interfaces to access the functions of Perplexity AI, including chatting, searching, and document retrieval.

The Crawlab MCP service is a middleware that connects AI applications and the Crawlab crawler platform, enabling natural language interaction through a standard protocol and supporting functions such as crawler management, task control, and file operations.

Hologres MCP Server is a general interface service that connects AI agents with the Hologres database. It supports two communication modes, STDIO and SSE, and provides functions such as database metadata access, SQL execution, and statistics management.

An MCP server implementation based on TypeScript and Express, used to connect AI agents with external APIs, providing movie database interaction functions, supporting real-time communication and modular expansion.

Hologres MCP Server is a universal interface that connects AI agents and the Hologres database, supporting metadata retrieval and SQL operation execution.

A lightweight MCP server implementation that provides access to OpenAI o3 models and other models through the Poe API, supporting the selection of different models via command-line flags.

An MCP server implementation based on the YouTube Data API, providing a standardized interface for AI language models to access YouTube content, including functions such as video information, subtitle management, channel analysis, and trend analysis.

A FastMCP server implementation for connecting to the Replicate API, providing a standardized interface to access multiple AI models. Currently, it supports the image generation function and is in the early development stage.

The eRegulations MCP Server provides a standardized interface for AI models to access data from the eRegulations API, simplifying administrative process queries

A Cloud Foundry interaction server based on Spring AI MCP

The ATTOM MCP Server is a comprehensive model context protocol server that provides access to ATTOM real estate data for AI agents and traditional applications. It supports HTTP and stdio transmissions, and features intelligent fallback strategies, automatic retry mechanisms, and strict type safety.

Recall Data Omnifeeds is an MCP server that provides multi - platform data access, integrating data interfaces from Twitter, Substack, and CoinGecko, and offering unified data analysis and interaction capabilities for AI models.