This MCP server integrates with Cursor to activate Claude's explicit thinking mode, allowing users to see detailed reasoning processes for their queries. It uses the Model Context Protocol to intercept and format queries with special tags, triggering Claude's reasoning mode. The tool is designed for developers who want to understand Claude's thought process in problem-solving, mathematical proofs, and code analysis.

This MCP server extends the knowledge of AI assistants beyond their training data by allowing them to query and retrieve information from custom document collections. It processes Markdown, text, and PDF files into a searchable database, supporting both free and paid embedding models. Built with Docker, it ensures AI assistants stay updated with the latest information from private or technical sources.

The Voicevox MCP Server integrates VOICEVOX-compatible voice synthesis engines (AivisSpeech, VOICEVOX, COEIROINK) with the Model Context Protocol (MCP). It allows seamless voice synthesis in AI agent modes, such as Claude 3.7, via Cursor. The server supports both Windows and Docker environments, providing flexibility for developers and users to integrate voice synthesis into their workflows.

This project provides a Springboot-based template for developing MCP servers, supporting both STDIO and Server-Sent Events (SSE) modes. It includes JUnit for unit testing and offers flexibility in configuring message and SSE endpoints. The template is designed to streamline the development of MCP-compliant servers, making it easier to integrate with various AI tools and services.

The MCP Server Manager provides a unified interface to connect and manage multiple MCP servers through a single proxy. It supports automatic tool discovery, server configuration via JSON, and consistent naming for proxied tools. This solution simplifies the integration and management of multiple MCP servers, enabling seamless tool registration and usage across different servers.

This MCP server facilitates secure, read-only queries on Snowflake databases, allowing Claude to interact with Snowflake data without modifying it. It supports Python 3.12+, uses service account authentication for secure connections, and includes tools for listing databases, views, and executing custom read-only SQL queries. The server integrates seamlessly with Claude Desktop via stdio-based communication.

The Postman MCP Server is a Cloudflare Worker implementation that provides API access to Postman collections and environments through the Model Context Protocol (MCP). It allows Claude AI to retrieve, create, and manage Postman collections and environments, facilitating API testing, documentation, and workflow automation. The server supports operations like adding requests, running collections, and managing environments, making it a powerful tool for integrating AI into API development workflows.

The DALL-E MCP Server is a Model Context Protocol (MCP) server that integrates with OpenAI's DALL-E API to generate, edit, and create variations of images. It supports both DALL-E 2 and DALL-E 3 models, allowing users to create high-quality images based on text prompts. The server is designed to work seamlessly with Cline, ensuring generated images are saved and displayed correctly in the user's workspace.

The Ollama MCP Client is designed to work with various language models such as Qwen, Llama 3, Mistral, and Gemini, served via Ollama. It supports real-time streaming of LLM responses and integrates seamlessly with the Database MCP Server, enabling natural language interactions with databases. This client is ideal for developers looking to leverage the power of language models for database operations and natural language queries.

The Notion Workspace Integration MCP Server provides a standardized interface for AI models like Claude to interact with Notion workspaces. It enables querying databases, retrieving page content, and managing updates. The server supports integration with Claude for Desktop, allowing users to perform natural language queries and manage tasks directly from their Notion workspace.

Paint MCP Server provides a HTTP API for applications to interact with Microsoft Paint programmatically. It allows drawing shapes, selecting tools, setting colors, and saving drawings. Built with Rust, it uses undocumented Windows APIs to simulate user inputs and control the Paint interface. This project is ideal for educational or experimental purposes but is not suitable for production due to its reliance on specific UI layouts and unsupported APIs.

This MCP server provides audio transcription capabilities by leveraging OpenAI's Whisper API. It allows users to transcribe audio files into text, with optional features like saving the transcription to a file and specifying the language. The server is easy to set up and integrates seamlessly with OpenAI's API for accurate and efficient speech-to-text conversion.

InsightFlow is an advanced analytics platform that combines real-time data processing with AI-powered insights using the Model Context Protocol (MCP). It provides seamless integration with Claude AI for intelligent data analysis and decision support. The platform supports real-time analytics, flexible data processing, and comprehensive API support for various integration needs.

Skynet-MCP is an advanced architecture implementing the Model Context Protocol (MCP) to create a hierarchical network of AI agents. Each instance acts as both an MCP server and client, enabling recursive agent networks for tasks like research, reporting, and coding. It integrates with OpenAI and Anthropic models, supports tool discovery, and offers flexible configuration for multiple environments.

The PubMed MCP Server bridges AI assistants and PubMed's biomedical literature repository using the Model Context Protocol (MCP). It allows AI models to search for scientific articles, access metadata, and perform deep analysis programmatically. Key features include paper search, efficient retrieval, metadata access, research support, full-text PDF access, and deep paper analysis.

The ConnectWise Manage API Gateway MCP Server facilitates seamless interaction with the ConnectWise Manage API by offering tools for API discovery, execution, and management. It features natural language search, categorized API navigation, and a fast memory system for efficient workflows. Designed for developers and AI assistants, it simplifies complex API interactions and enhances productivity.

This project is an attempt to create MCP servers for Goose, a tool for managing custom extensions. It includes various MCP server implementations like chromedriver, doctl, fark, plex, and more. The setup involves creating Python virtual environments using `uv sync` and integrating the servers into Goose configurations. This project aims to extend Goose's functionality by providing a suite of MCP servers for diverse use cases.