MCP File System Server for Claude Desktop
Lightweight MCP server that summarizes local .txt and .md files using AI agents
MCPfinder 🔧🤖 is a service that enables LLMs, running through client applications that support the MCP protocol, to dynamically discover and access new tools, features, and capabilities. When a user requests functionality the AI doesn’t have, it can simply ask MCP Finder to locate relevant MCP servers, expanding its toolset in real time.
MCP Gateway and Registry
Provides Google Search functionality for AI models using Gemini's built-in Grounding with Google Search feature, returning real-time web search results with source citations.
Provides semantic search and management of shared documentation using ChromaDB and OpenAI embeddings. It enables users to query local documents by meaning, list files, and read content through natural language tools.
AI assistants and Google Tasks integration through Model Context Protocol.
MCP server tools for GraphDB
MCP server for Apache Gravitino(incubating)
Local MCP server for Hey.com email - read, search, send, reply, and manage the screener via stored session cookies. Runs over stdio, stores no credentials.
MCP Server to Generate Image
Exposes educational indicators with a gender perspective from Mexico's SIESVIM (INEGI), covering data such as terminal efficiency, dropout rates, and literacy. It enables models to perform contextualized social research and analysis using official Mexican statistics.
Provides persistent personal and organizational knowledge storage that any LLM can connect to for instant context about who you are, what you do, and your preferences. Enables AI agents to maintain long-term memory across sessions through structured data categories, semantic search, and export/import capabilities.
Enables inventory management through MongoDB with tools for creating, listing, searching, updating, and deleting items and categories. Supports natural language interactions via Groq AI integration.
Helps users find suitable LinkedIn job opportunities by automatically scraping listings, analyzing compatibility with user profiles using AI, and sending custom match reports via email.
Enables AI agents to scrape job offers and filter them based on user-defined criteria, using MCP resources, prompts, and tools.
AI-powered MCP server understands natural language queries about your Kubernetes cluster
Kagi search MCP server
A Python server that enables retrieval-augmented generation through semantic, question/answer, and style search modalities using PostgreSQL and pgvector for embedding storage and retrieval.
Enables searching for keywords in files with support for case-sensitive/insensitive matching, returning line numbers, full line content, and match counts for all occurrences.









