All MCP Servers

MCP (Model Context Protocol) Server. Automates causal inference analysis on SQLite banking data by using LLM-guided variable classification to generate causal graphs and estimate Average Treatment Effects through DoWhy statistical methods with plain-language business summaries.

A comprehensive MCP server providing a suite of FFmpeg-powered video and audio manipulation tools, including format conversion, trimming, watermark application, and frame extraction.

MCP (Model Context Protocol) Server. Provides multilingual translation capabilities for applications by integrating with external translation APIs through a containerized Node.js server.

The Self-Improving MCP Server - Agents write code to orchestrate multiple MCP servers with intelligent TypeScript execution and auto-augmentation

A comprehensive MCP server for X (Twitter) that integrates the standard v2 API with SocialData.tools to provide advanced research, analytics, and thread reconstruction capabilities without high-tier API requirements.

A multi-agent MCP server that uses LangGraph to convert natural language into GraphQL queries, with built-in schema introspection, validation, and execution capabilities.

A Python-based server that integrates Radarr and Sonarr with AI assistants, allowing users to query, filter, and manage movie and TV show collections using natural language.

A comprehensive MCP server for Metricool that enables AI agents to track social media analytics, analyze competitor performance, and schedule posts across platforms like Instagram, Facebook, LinkedIn, and TikTok.

Provides AI assistants with a secure and structured way to explore and analyze data in GreptimeDB.

MCP (Model Context Protocol) Server. Lightweight cross-platform screenshot capture server enabling visual context retrieval through automatic JPEG compression and flexible stdio/SSE transport modes.

An MCP server that exposes Scout Monitoring performance and error data, allowing AI assistants to analyze traces, N+1 queries, and backtraces directly within their workflow.

- Lightweight MCP server for `hyprland`.

Model Context Protocol (MCP) server for TestRail platform, enabling LLMs to manage test artifacts.

This MCP server integrates with the Awesome-llms-txt repository to provide AI models with direct access to structured documentation files, improving their ability to provide technical support and code explanations.

- A read-only Python implementation for MSSQL database access with enhanced security features, configurable access controls, and schema inspection capabilities. Focuses on safe database interaction through Python ecosystem.

MCP (Model Context Protocol) Server. Integrates with Qwen Max large language model via Dashscope API for text generation and analysis tasks in applications.

Manage MCP server configs across Claude, Gemini & other AI systems. Interactive CLI for server enable/disable, preset management & config sync.

MCP (Model Context Protocol) Server. Provides file conversion capabilities for transforming documents and images between formats like DOCX, PDF, Excel, CSV, and HTML without external tools

MCP (Model Context Protocol) Server. Bridges AI systems with Prolog's logical programming capabilities through tools for executing programs, running time-limited queries, and exploring available predicates.

MCP Server for AI-driven BlazeMeter performance testing

A Model Context Protocol (MCP) server implementation for programmatically generating videos using the json2video API. This server exposes powerful video generation and status-checking tools for use with LLMs, agents, or any MCP-compatible client.

A Godot Engine MCP server that enables Claude Desktop to control the editor, generate dynamic scenes, and automate asset importation using the Meshy API.

Annotation-driven MCP dev 🚀 No Spring, Zero Boilerplate, Pure Java

A bridge between 3D Slicer and AI models enabling medical professionals to interact with MRML nodes, execute Python scripts, and capture visual feedback from medical imaging scenes.

MCP (Model Context Protocol) Server. Provides C# code analysis capabilities by leveraging the Microsoft Roslyn compiler platform to validate syntax, find references, and run recommended code analyzers within .NET projects.

A persistent working memory server for AI development that integrates ChromaDB to provide automated codebase indexing, semantic code chunking, and bidirectional linking between chat logs and code changes.

MCP (Model Context Protocol) Server. Provides a server for obtaining structured and freeform code reviews from OpenAI, Google, and Anthropic models with support for project context, related files, and language detection.

An MCP server utility designed to efficiently combine multiple files into a single document while providing merge summaries and file size reports.

A specialized MCP server that allows LLMs to interact with CodeRabbit AI reviews on GitHub, facilitating the automated analysis, implementation, and resolution of AI-generated code suggestions.

Official MCP server for Qase — manage test cases, runs, suites, defects via AI tools.