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Voyagent is an AI travel planner powered by a LangGraph multi-agent pipeline — flight, hotel, itinerary, and report agents — that turns a plain-language trip request into a complete plan. It uses AviationStack for flights, Tavily for hotels, and Groq's Llama for itinerary generation, built on FastAPI with Postgres-backed conversation memory

Enables image recognition and description using Kimi K2.5 (Infini-AI) via the recognize_image tool. Supports local image files with optional custom prompts.

MCP server exposing Basecamp CLI commands as tools for project management, todos, messages, and more.

Provides real estate data from homes.com via a browser session, enabling property search, details, history, and affordability calculations through natural language.

Connects to a Gym Tracker Supabase database to provide LLMs with access to personal workout history, routines, and training progress. It enables users to analyze fitness performance, track personal records, and receive personalized coaching advice through natural language.

MCP server for the shadcn/ui v4 registry; fetch component and block source, search, 1-hour cache

This project implements a penetration testing and purple team AI-agent-driven server built with MCP and a Gradio UI frontend, designed to run as a Hugging Face Space.

Enables AI agents to interact with Redmine project management tool via its API, supporting issue creation, updates, search, and attachment operations.

SQLite MCP server by liliang-cn that provides AI assistants with secure database operations through directory-restricted access to SQLite databases. Built with Go using the mcp-go library and mattn/go-sqlite3 driver, the implementation supports multi-database switching, complete CRUD operations, transaction management, index creation with advanced options, and database maintenance tools like VACUUM and query analysis. The server enforces security through path validation and directory restrictions, preventing traversal attacks while enabling dynamic database creation with AI-generated filenames based on purpose descriptions. Designed for AI agents requiring persistent data storage, applications needing secure database access with multi-database support, and workflows where database operations must be restricted to specific directories for security compliance.

Find test gaps, generate grounded tests, and dynamically prove behavior with mutation testing.

MCP server: parse, format, and convert timestamps and date strings.

A TypeScript boilerplate for building MCP servers using the official SDK, with a layered architecture for easy adaptation to different APIs.

Enables AI assistants to generate high-quality images using SiliconFlow's Flux model through the Model Context Protocol, supporting multiple resolutions and customizable parameters.

Enables adding, reading, updating tasks via Claude with a SQLite backend.

An MCP server that tracks the latest trending tokens on CoinGecko.

MCP server for YApi that enables LLMs to manage API interfaces, projects, and categories through natural language, supporting multiple projects and path fuzzy matching.

A Model Context Protocol (MCP) server that provides comprehensive documentation and usage examples for the AutoFixture testing library.

Build First MCP Server and Client from Scratch

Enables querying Bank of Korea ECOS economic statistics via Open API, including searching tables, retrieving time series data, and accessing key indicators.

Performs domain security posture checks including SPF, DKIM, DMARC, TLS, and HTTP security headers.