Repository History
14 repositories tagged with mcp-server
Ferret MCP: AI-Powered Knowledge Extraction for Any Codebase
Ferret MCP is an MCP server designed to extract comprehensive knowledge from any codebase, combining static analysis with AI-powered deep interpretation. It provides detailed insights into architecture, patterns, dependencies, and API surface, delivering a senior engineer's analysis in seconds. This tool integrates seamlessly with various MCP clients, offering both free static analysis and advanced AI-driven reports.
Flint-chart: AI-Powered Visualization Language for Expressive Charts
Flint-chart is a powerful visualization language designed for AI agents, enabling them to reliably create expressive and visually appealing charts. It translates simple, human-editable chart specifications into native outputs for various backends like Vega-Lite, ECharts, Chart.js, Plotly, and Excel, supporting formal visual themes. This project simplifies complex data visualization tasks, making them accessible and consistent across different platforms.
MCP Server Excel: AI-Powered Excel Automation via COM API
MCP Server Excel is a powerful tool enabling AI assistants like GitHub Copilot and Claude to automate Microsoft Excel through natural language. It leverages the actual Excel COM API, offering 26 specialized tools and 234 operations for comprehensive automation, from Power Query to VBA macros. This project is ideal for data analysts, developers, and business users seeking to streamline complex Excel workflows with AI.
MacOS-MCP: Lightweight MCP Server for AI Automation on macOS
MacOS-MCP is a lightweight, open-source Model Context Protocol server designed to bridge AI agents with the macOS operating system. It enables seamless automation of macOS tasks such as file navigation, application control, and UI interaction through large language models, without requiring computer vision or specialized setups. This project provides a robust toolkit for AI-driven desktop automation.
Codebase-Memory-MCP: High-Performance Code Intelligence for AI Agents
Codebase-Memory-MCP is an exceptionally fast and efficient code intelligence engine tailored for AI coding agents. It transforms your codebase into a persistent knowledge graph, indexing an average repository in milliseconds and supporting 158 languages. This tool significantly reduces token usage and integrates seamlessly with various agents as a single, dependency-free binary.
chrome-devtools-mcp: Empowering AI Agents with Chrome DevTools Capabilities
chrome-devtools-mcp is a powerful tool that enables AI coding agents to control and inspect a live Chrome browser. It functions as a Model-Context-Protocol (MCP) server, providing AI assistants with full access to Chrome DevTools for advanced automation, debugging, and performance analysis. This allows agents to interact with web pages, gather insights, and perform complex tasks programmatically.
MongoDB MCP Server: Connect to MongoDB and Atlas with Model Context Protocol
The MongoDB MCP Server is a Model Context Protocol server designed to facilitate interaction with MongoDB databases and MongoDB Atlas clusters. It provides a standardized way for clients to access and manage MongoDB data and Atlas resources, supporting a wide range of database and Atlas-specific tools.
Context7 Platform: Up-to-date Code Documentation for LLMs and AI Editors
Context7 Platform provides up-to-date, version-specific code documentation directly to LLMs and AI code editors. It eliminates outdated information and hallucinated APIs, ensuring accurate and relevant code generation. This tool significantly enhances the capabilities of AI coding assistants by integrating real-time documentation into their context.
Opik MCP Server: Seamless IDE Integration for AI Model Context
The Opik MCP Server provides a Model Context Protocol (MCP) implementation for Opik, enabling seamless integration with various IDEs. It offers a unified interface for managing prompt lifecycles, exploring workspaces, projects, and traces, and handling metrics and dataset operations. This server enhances developer workflows by centralizing access to critical AI development resources.
MCP Remote macOS Use: AI Agent for Full macOS Control via Claude Desktop
MCP Remote macOS Use is an open-source project enabling AI agents to fully control remote macOS systems directly from the Claude Desktop App. This unique solution requires no extra API keys, offering users complete control over their local and remote Macs. It serves as a direct alternative to other AI control solutions, optimized for autonomous AI agents with comprehensive desktop capabilities.
mcp-bear: Integrate Bear Notes with Model Context Protocol Servers
mcp-bear is a Python-based Model Context Protocol (MCP) server designed to seamlessly integrate with Bear note-taking software. It enables powerful automation and interaction with Bear notes through various MCP clients, enhancing productivity for macOS users. This project leverages Bear's X-callback-url scheme to provide a robust set of actions.
annas-mcp: A CLI and MCP Server for Anna's Archive Document Retrieval
annas-mcp is a versatile tool designed as both a CLI utility and an MCP server for interacting with Anna's Archive. It enables users to efficiently search for and download documents from the archive. The project offers flexible deployment options, supporting direct command-line operations or integration with compatible MCP clients.