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Aggregates tasks from multiple sources (Jira, Markdown TODO files, STM CLI) into a unified SQLite database with full-text search, tagging, and incremental sync capabilities.

Enables interaction with a PostgreSQL database through MCP tools for employee management. Supports listing and adding employees via natural language chat interface with LLM integration.

Integration with Timeplus, a database for streaming data, such as Apache Kafka/Pulsar

Open source MCP server specializing in easy, fast, and secure tools for Databases.

A production-ready Python MCP server providing tools for fetching live weather data, querying local SQLite databases, reading files, summarizing webpages, and performing safe mathematical calculations. It enables MCP-compatible LLM clients to execute these tasks autonomously as part of agentic workflows.

A comprehensive MCP server with 36 tools for tracking TV shows and movies, managing watchlists, and syncing ratings with Trakt.tv. It enables users to search extensive databases, check into current viewings, and receive personalized recommendations through natural language commands.

Triggers predefined functions based on specific usecases including data analysis, text processing, mathematical calculations, file operations, and web request simulations through natural language prompts.

Enriches user data by generating and providing social media profile links (Instagram, Facebook, Twitter, LinkedIn) based on user information like name and birth date.

Enables interaction with Vertica databases through SQL queries, schema management, and bulk data operations. Supports connection pooling, SSL/TLS security, and configurable permissions for database operations.

A demonstration MCP server created for learning purposes, allowing Claude AI to interact with local files and a Postgres database while implementing a custom Model Context Protocol.

Offline MCP server for reading and writing Minecraft server files, including level data, datapacks, regions, and structures, with safety checks and backups.

Enables LLMs to read, search, convert, and extract metadata from MDX files, providing seamless interaction with MDX content through tools that convert MDX to clean Markdown format with built-in security and cross-platform compatibility.

Enables AI assistants to interact with Mealie recipe databases, allowing users to manage and query their recipes through natural language conversations.

Mec Postgres (Pratye)

全面解析MEC PostgresMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MEC Postgres能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Provides comprehensive medical information by querying authoritative sources including FDA drug database, WHO health statistics, PubMed literature, RxNorm nomenclature, Google Scholar, and Australia's PBS API through 22+ specialized tools.

Automatically synchronizes meeting transcripts from Otter.ai to a local SQLite database for easy browsing and management. It enables semantic and keyword-based search across meeting history through integrated MCP tools for Claude and Cursor.

Provides persistent AI agent memory using a local vector database for long-term semantic storage and short-term session scratchpads. It enables low-latency memory operations including search, storage, and bulk management without external cloud dependencies.

Exposes local persistent memory as an MCP server with Markdown storage, PARA organization, Zettelkasten linking, and SQLite FTS5 search. Enables Claude and other MCP-compatible agents to store, organize, and retrieve knowledge with context-based recommendations through the Olima association engine.

A lightweight MCP server that provides persistent key-value storage for AI agents using SQLite and Bun. It enables agents to store, retrieve, and manage memories with optional JSON metadata for long-term context retention.

MCP server that enables AI assistants to semantically search Memtech's memory-ASIC engineering knowledge base (RTL, lab logs, DFM rules) stored in a Qdrant vector database.