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.
Enables AI agents to read and retrieve the latest posts from Jibun and Ech0 instances. It allows users to list configured sources and fetch content with support for pagination and source selection.
An AI-powered job recommender built on the Model Context Protocol that provides personalized career suggestions through resume and skills matching. It utilizes LLMs and external tool integrations to help users find relevant job openings based on their professional profile.
A token-efficient, schema-aware MCP server that enables AI assistants to safely read, modify, query, and validate JSON, YAML, and TOML files with automatic schema detection and format conversion capabilities.
Manages the lifecycle of MCP services with health monitoring, auto-restart capabilities, and process tracking. Enables users to start, stop, restart, and monitor MCP services through natural language commands.
A learning-focused MCP server that demonstrates how to build arithmetic tools for AI assistants, currently featuring addition functionality with structured input/output.
A comprehensive educational server demonstrating Model Context Protocol capabilities for tools, resources, and prompts, allowing AI assistants to connect to external data and functionality.
A Model Context Protocol server that translates high-level intents into commands for controlling an Arduino-based LED system via a RESTful interface.
A Model Context Protocol server that enables AI assistants to interact with Linear project management systems, allowing users to create, update, and manage issues, projects, teams, and comments through natural language.
