A modern Model Context Protocol (MCP) server that enables AI assistants to collect interactive user feedback, supporting text and image-based responses.
A Model Context Protocol server for secure, sandboxed file operations and project scaffolding with built-in search and regex capabilities. It is optimized for Windows environments and features configurable access controls to restrict operations to specific directories.
A Model Context Protocol server that enables Claude Desktop to perform file operations like reading, writing, listing directories, and managing files through natural language commands.
Enables AI assistants to control FL Studio on Windows through a local MCP server without cloud dependencies. Bridges MCP clients to FL Studio's Python scripting environment via file-based IPC for project management, transport control, and UI workflow automation.
An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.
A complete fullstack application that demonstrates Model Context Protocol integration for AI assistants to securely connect to external data sources and tools, providing task management functionality with a Convex backend and Remix frontend.
About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.
An MCP server that enables AI assistants to list, read, create, and manage files in Google Drive. It features automatic conversion of Google Workspace formats into Markdown, CSV, and plain text for seamless integration with AI workflows.
Integrates Google Play Store management tools with AI assistants to handle app listings, releases, and user reviews. It enables users to manage Play Console tasks like updating store information and retrieving performance statistics through natural language.
A Model Context Protocol server providing web search capabilities using Google Custom Search API and webpage content extraction functionality.
An MCP server that enables AI clients to delegate tasks to autonomous developer teams using Goose CLI subagents, supporting parallel and sequential execution across specialized roles like backend developers, frontend developers, and security auditors.
An MCP server that enables AI clients to delegate tasks to autonomous developer teams using Goose CLI subagents, supporting parallel or sequential execution of specialized agents for different development roles.
Integrates AI assistants with Graylog to query and analyze log data using Elasticsearch syntax and stream-specific filtering. It enables users to perform advanced searches, retrieve log statistics, and manage Graylog streams through natural language.
Enables AI assistants to greet users in 7 different languages including English, Spanish, French, German, Japanese, Chinese, and Korean. A lightweight multilingual greeting tool for the Model Context Protocol.
A Python framework that enables secure hardware control through the Model Context Protocol, allowing AI agents and automation systems to interact with physical devices across multiple platforms.
Enables AI assistants to interact with the Hertz car rental service through headless browser automation. It supports searching for vehicles, managing reservations, checking loyalty status, and retrieving rental policies directly from the Hertz website.
A lightweight Hono.js middleware for building Model Context Protocol servers using a simple, fluent API and supporting both SSE and HTTP transports. It enables developers to create type-safe, edge-ready MCP-compatible APIs with built-in session management.
Enables AI agents to search for and hire humans for real-world tasks.
Routes requests to multiple downstream Model Context Protocol servers and provides a LangGraph.js-based agent with RAG capabilities for development assistance.
A Fastify plugin that automatically converts API routes into Model Context Protocol tools, enabling AI assistants to directly interact with your API.