The Aider MCP Server is an experimental model context protocol server used to offload AI coding tasks to Aider, improving development efficiency and flexibility.

ClaudeKeep is an experimental project that saves and shares conversation records with Claude AI via the MCP protocol.

Yamu is an experimental MCP server project aimed at enabling AI programming assistants to interact with Unity projects, providing compilation and testing functions, and supporting an automated edit-compile-debug cycle.

The Pega DX MCP Server is an experimental project aiming to transform Pega Infinity™ applications into an intuitive conversational experience through the Model Context Protocol (MCP). It serves as a bridge between the Pega DX API and the natural language interface, enabling GenAI agents, IDEs, and other MCP-supported tools to interact with Pega Infinity™ applications using simple human-readable commands.

A lightweight server that exposes Mac system information through simple APIs to help AI assistants obtain real-time hardware and system data, mainly used for AI and deep learning experiments by Mac users.

An experimental MCP server developed for the Kafka monitoring tool AKHQ, which helps AI assistants connect and assist users in working with AKHQ

An experimental Miro MCP server that exposes Miro API endpoints as tools available to AI agents via the FastMCP protocol, supporting operations on multiple Miro board item types.

This experiment guides users on how to deploy an MCP server and integrate it into Microsoft Copilot Studio. Through a standardized protocol, it connects AI models with data sources to achieve real - time data access and joke generation functions.

The OpenFGA MCP Server is an experimental Model Context Protocol service that enables large language models to read from and write to the OpenFGA authorization store, providing fine-grained permission management capabilities for AI agents and developers.

The Shaka Packager MCP Server is an experimental project that integrates the Shaka Packager video processing tool with the Claude AI application, providing video transcoding, encapsulation, and analysis functions. It works with the file system server via the MCP protocol, enabling Claude to access and process local video files.

A repository focused on exploring and applying generative AI (GenAI), aiming to help users learn and experiment with the application of GenAI in daily tasks, including writing, programming, image generation, etc., through practical cases and resource sharing.

An unofficial experimental MCP service for HexDocs, based on the search API, providing document search functionality for AI agents such as Claude or Cursor.

This is a sample project of an MCP service based on Spring AI, which implements CRUD operations for personnel data using in-memory storage for demonstration and experimentation purposes.

Brewfather MCP is an experimental project. The current development is concentrated on the master branch, aiming to establish a good structure.

The Bitcoin SV MCP Server is an experimental Bitcoin SV toolkit that provides wallet, Ordinals, and blockchain interaction functions for the Model Context Protocol framework. This project is in the early development stage and includes a rich set of BSV tools, educational resources, and blockchain browser functions, supporting integration with various AI clients.

The W&B MCP Server is a tool based on the Model Context Protocol that allows users to query and analyze experimental data, trace records, and reports on the Weights & Biases platform through natural language, and supports integration with multiple AI development environments.

The MCP Internet Speed Test is an experimental project that provides network performance testing tools for AI models through the standardized MCP protocol, including functions such as download/upload speed, latency, and jitter measurement.

An experimental MCP server project that helps AI assistants connect and obtain information about Duyet, including blogs, GitHub activities, and resumes.

An experimental MCP server based on Spring AI, supporting low-level SQL operations on MySQL, PostgreSQL, and SQLite through JDBC, using stdio as the transmission mechanism.

trackio-mcp is a Python package that provides MCP (Model Context Protocol) server support for the trackio experiment tracking tool, enabling AI agents to observe and interact with trackio experiments through the MCP protocol. It can automatically enable the MCP server functionality by a simple import without modifying existing code, and supports local and Hugging Face Spaces deployment.

This project is an experimental Aider MCP server used to offload AI programming tasks to the Aider open - source assistant to improve development efficiency and flexibility. It supports multiple AI models, provides code modification and model list functions, and integrates with Claude Code through the MCP protocol.

This experiment guides users on how to deploy the MCP server and integrate it into Microsoft Copilot Studio, connecting AI models with data sources through a standardized protocol to achieve real-time data access and joke generation functions.

This experiment guides users on how to deploy the MCP server and integrate it into Microsoft Copilot Studio. Connect AI models with data sources through a standardized protocol to achieve real - time data access and tool integration.

Awesome MCP Servers is a carefully curated list that includes various implementations of Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. This list covers production-ready and experimental MCP servers, extending AI capabilities through file access, database connection, API integration, and other context services.

An intelligent chatbot based on Streamlit that uses GPT-4o to automatically route user requests to different tools (such as chatting, image generation, database queries, voice synthesis, etc.), supporting rapid experimentation with AI tool routing functions.

This project demonstrates an example of an AI agent - managed laboratory information management system (LIMS) based on the MCP protocol. Through the interaction between simulated experimental instrument tools and the database, it completes the complete workflow data processing of samples from registration, preparation to analysis.

OpenGenes-MCP is a server based on the Model Context Protocol (MCP), which provides a standardized interface for the OpenGenes database to access data on aging and longevity research. The server automatically downloads the latest OpenGenes database from the Hugging Face Hub to ensure that users can always access the latest data. The database contains experimental data on lifespan changes, gene classification standards, associations with aging markers, and longevity-related research. It supports converting natural language queries into SQL queries, making it convenient for researchers and AI assistants to use.

AI Toybox is a generative AI experimental platform focused on rapid prototyping and testing of MCP tools and agent workflows, providing a chat application and modular MCP service templates.

The MCP project is a standardized protocol for enhancing the context understanding ability of AI models. It provides environmental information, user preferences, and conversation history in a structured manner, solving the problem of limited memory in AI systems. The project includes installation guides, environment configuration, and multiple experimental cases.

An experimental implementation of the MCP server that allows AI assistants to search for product information from major Australian supermarkets, Coles and Woolworths, and provides price comparison and product detail query functions.

An experimental Kubernetes MCP server that exposes Kubernetes functionality to AI chat interfaces via kubectl, enabling AI assistants to help analyze and manage cluster resources.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integration, and other context services.