AutoMCP is a tool designed to streamline the development of MCP (Model Context Protocol) servers and clients by autogenerating code based on YAML service definitions. It creates server and client code, handler stubs for tool functionality, and organizes code by service in dedicated directories. This tool is particularly useful for developers working with agentic workflows and looking to implement MCP-compatible services efficiently.

The Qase MCP Server facilitates integration with Qase's test management platform, enabling functionalities such as creating and retrieving test cases, managing test runs, and bulk operations. It is designed to streamline test management workflows by providing a structured interface for interacting with Qase's API, ensuring efficient test case and execution management.

The Weather CLI project provides a command-line interface and MCP server for retrieving real-time weather information for any location globally. It leverages the wttr.in API to fetch detailed weather data, including temperature, humidity, wind speed, and more. The MCP server mode allows for standardized service interfaces, asynchronous operations, and easy integration into other systems, supporting multiple transport protocols like stdio, TCP, and WebSocket.

The Cryptocurrency Sentiment Analysis MCP Server leverages Santiment's aggregated social media and news data to deliver sentiment analysis, social volume tracking, social dominance, and trending words for cryptocurrencies. It helps AI agents monitor market mood, detect emerging trends, and analyze social media discussions in the crypto space.

The Firefox Claude MCP Bridge is a Firefox extension designed to integrate the Claude web application with a server-side MCP application accessible via websocket. This extension facilitates communication between the web application and the MCP server, enabling enhanced functionality and interaction. The project is built primarily using JavaScript and HTML, and it requires a compatible server-side application to function properly.

The Sentry MCP Server is a Model Context Protocol (MCP) implementation designed to interact with the Sentry API. It allows AI assistants to retrieve and analyze error data, manage projects, and monitor application performance. The server includes tools for listing projects, resolving issues, retrieving events, and creating new projects, among other functionalities. It is built with TypeScript and integrates seamlessly with AI tools like Claude.

The Strava MCP Server is a specialized implementation of the Model Context Protocol (MCP) designed to facilitate interactions with the Strava API. It provides tools for retrieving user activities, activity details, segments, and leaderboards, making it easier to integrate Strava data into applications. The server supports authentication, configuration, and development workflows, enabling seamless integration with Strava's fitness data.

The MCP Server Management Tool is a Python-based CLI utility designed to simplify the discovery and management of open-source MCP servers. It allows users to search for servers by type (e.g., Python, Node.js), pull server templates, and manage them efficiently. The tool supports filtering and provides two command aliases, `getmcp` and `mcpm`, for ease of use.

This project provides a Streamlit interface for the MCP client, allowing users to interact with the client through a web-based UI. It supports query processing and integrates with web search functionality via API keys. The setup involves installing dependencies and configuring API keys in a `.env` file. The interface is launched using Streamlit, providing an easy-to-use platform for sending queries and viewing responses from the MCP client.

The Sequential Thinking MCP Server is designed to facilitate dynamic and reflective problem-solving by breaking down complex problems into manageable steps. It automatically logs each thinking session to Recall, allowing users to review complete reasoning chains, analyze thought processes, and build a knowledge base of reasoning patterns. The server integrates with Recall for secure on-chain storage of sequential thinking logs.

The Fast Whisper Speech Recognition MCP Server is designed for high-performance audio transcription, leveraging the Faster Whisper model. It supports batch processing, automatic CUDA acceleration, and multiple output formats like VTT, SRT, and JSON. The server is optimized for speed and efficiency, making it ideal for large-scale transcription tasks.

The Flipt MCP Server facilitates communication between AI assistants and Flipt's feature flag management system. It supports listing, creating, updating, and deleting namespaces, flags, segments, rules, and more. Additionally, it allows for evaluating flags for specific entities, toggling flags on/off, and managing constraints, variants, distributions, and rollouts. The server is designed to work seamlessly with AI assistants that support the Model Context Protocol.

The GraphDB MCP Server provides read-only access to Ontotext GraphDB repositories, allowing Large Language Models (LLMs) to explore RDF graphs and execute SPARQL queries. It includes tools for querying, listing graphs, and accessing repository statistics, making it a powerful interface for integrating GraphDB with AI models like Claude.

This project provides a server implementation designed to integrate the Model Context Protocol (MCP) with Claude Desktop. It supports both Python and Go, offering flexibility in deployment and configuration. The server can be installed via Smithery, and it includes Docker support for containerized environments. The project aims to streamline the integration of MCP with Claude Desktop, enabling advanced features and improved user experiences.

The Oura Ring Data MCP Server provides a structured way to access and manage health data from Oura Ring devices using the Model Context Protocol (MCP). It supports integration with tools like Claude Desktop, enabling seamless access to metrics such as sleep, activity, readiness, and stress. The server is designed for developers and users who want to integrate Oura Ring data into their applications or workflows.

The Claude Desktop Notification Server is a lightweight MCP server designed to enhance the user experience of Claude Desktop on macOS. It provides configurable auditory and visual notifications when Claude starts and completes tasks, eliminating the need for constant visual monitoring. Features include customizable system sounds, macOS Notification Center integration, and multiple notification methods with fallbacks for reliability.