Developer Tools Servidores MCP

RAG

Provides a Retrieval-Augmented Generation (RAG) server for efficient document ingestion, vector storage, and AI-powered question answering.

Neuro

Standardizes interactions between AI agents and backend systems through microservices.

RAG

Delivers a highly engineered retrieval-augmented generation system supporting diverse knowledge base search modalities.

DynamicEndpoints

Enables advanced database operations, schema management, and data manipulation for PocketBase through the Model Context Protocol (MCP).

Palette

Converts hexadecimal color codes to their closest matching CSS color names.

Multi-Agent Platform

Facilitates a modular, production-ready multi-agent system for advanced math, research, weather, and summarization tasks.

YTT

Retrieves YouTube video transcripts for integration with AI assistants and other applications.

Ethora

Enables seamless integration between Model Context Protocol (MCP) clients and the Ethora platform.

Amap Navigation

Enables interactive map navigation with real-time route planning and WebSocket communication for Amap (Gaode Maps) via a FastAPI and fastmcp-based interface.

Deep Search

Conducts simultaneous web searches across multiple major providers with both CLI and Model Context Protocol (MCP) interfaces.

File Finder

Locates files by searching for path fragments on a server.

Valetudo

Provides a Go-based MCP server to interact with Valetudo-powered robot vacuums via their HTTP API.

Project Intelligence System

Provides persistent memory and semantic understanding of project architecture for AI coding assistants, enhancing software development workflows.

Zaifer

Enables Python-based access to the Zaif cryptocurrency exchange API via the Model Context Protocol (MCP), allowing large language models to interact with its functionalities using natural language.

Jina AI Search

Connects AI assistants and applications to Jina AI's advanced search, reading, and knowledge retrieval capabilities via the Model Context Protocol.

Datadog

Enables AI assistants to interact with Datadog's observability platform using natural language queries.

DreamCats

Encodes and decodes strings using the Model Context Protocol (MCP).

Context Protocol Learning

Offers a comprehensive, hands-on learning path for Model Context Protocol (MCP) development, guiding users from beginner to advanced concepts.

Memo

Manages memo creation, search, and retrieval for agents via an MCP server, storing data locally.

LangChain

Provides real-time access to LangChain documentation, API references, and code examples through dual server modes.