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MCP server that turns your Reddit content into a searchable knowledge base.

Mission Control MCP is a domain-agnostic task automation and validation system that enables AI agents to define missions with specific success criteria and iteratively work toward completion through automated validation feedback. Built with TypeScript, it supports three validation strategies (numeric comparisons, exit code checking, and keyword matching), tracks attempt counts with configurable limits, provides intelligent feedback generation, and includes state persistence with performance metrics. Designed for scenarios where AI agents need structured goal-oriented workflows with clear success/failure criteria, it's particularly useful for automated testing pipelines, performance optimization tasks, deployment validation, and any iterative problem-solving process that benefits from systematic progress tracking and validation.

A lightweight server implementation for the MCP protocol built with Python and FastAPI, designed to provide a streamlined interface for server-side interactions. The project uses modern Python tooling like uv for dependency management and includes GitHub Actions for automated testing and publishing, with a focus on clean, type-checked code and easy deployment.

Lakevision is a tool which provides insights into your Apache Iceberg based Data Lakehouse.

Enables Claude to build on RoxyAPI's multi-domain spiritual intelligence API, including astrology, tarot, numerology, and more, through a keyless Docs MCP and a Skill for live API calls.

Tiny local MCP server for safe, read-only Microsoft SQL Server and Azure SQL inspection from Codex and other MCP clients.

🤖 Enable AI assistants (Claude, Cursor) to monitor, diagnose, and query Amazon Redshift using this MCP server and the AWS Data API.

Provides a tool to fetch npm package information via the Model Context Protocol.

Search and contribute to FixGraph — 25,000+ community-verified engineering fixes. Tools: fixgraph_search, fixgraph_get_fixes, fixgraph_submit_fix.

A local-first, family-scale medical record framework that provides a Python CLI engine and MCP server for ingesting, deduplicating, querying, and generating medical records from source documents.

Provides comprehensive enterprise printer information including specifications, pricing, troubleshooting, and setup instructions for major printer brands. Enables sales teams to find and compare printers, calculate TCO, and get recommendations, while service teams can access error code resolutions and configuration guides.

Enables running a remote MCP server on Cloudflare Workers with OAuth login, allowing tools to be accessed remotely.

XRechnung & ZUGFeRD: create, validate, and convert German e-invoices. EN 16931 compliant.

Bureau Credit is a Go-based MCP server that orchestrates credit bureau integrations, standardizes responses, and exposes credit data through MCP and HTTP interfaces. Designed for containerized deployment via Docker, it serves as a middleware layer for accessing credit data from bureau APIs in a unified format.

Enables AI agents to send a distress call to a Discord channel and wait for human input, capturing replies or reactions to resume work.

Word document reading and writing MCP implemented in Node.js

Provides a bridge to the Tagesschau news API, enabling AI assistants to fetch and analyze German news articles from categories like domestic, foreign, economic and sports coverage. Built with Go and the MCP protocol, it exposes tools for retrieving latest headlines and detailed article content through a clean interface. This implementation is particularly valuable for users who want to access and analyze German news content programmatically through natural language interaction.

MCP server for integrating VeriFactu (AEAT) with Claude Code and Cursor, enabling generation, chaining, and sending of electronic invoicing records via natural language.

A Model Context Protocol server that provides accurate Chinese Ziwei Doushu astrology chart calculations and horoscope analysis, enabling AI assistants to generate personalized astrological readings through natural language queries.

pprof-analyzer-mcp is a Go-based server that enables AI assistants to analyze Go performance profiles. Developed by ZephyrDeng, it leverages the Google pprof library to parse CPU, heap, and goroutine profiles, extracting key metrics and generating flame graphs for visualization. The server processes profile data through specialized analyzers for different profile types, providing insights into performance bottlenecks, memory usage patterns, and concurrency issues. It's particularly valuable for developers who need to diagnose performance problems in Go applications without manually interpreting complex profiling data.