MCP Servers

MCP Servers Page 13 of 89

All MCP Servers Complete list of MCP server implementations, sorted by stars

rtuin_mcp_mermaid_validator

This MCP server validates and renders Mermaid diagrams using the Mermaid CLI tool. It integrates with the Model Context Protocol (MCP) to provide a standardized interface for AI tools, enabling seamless validation and rendering of diagrams. The server returns detailed validation results and rendered SVGs, making it ideal for use in AI-driven applications that require diagram processing.

mcp_server model_context_protocol mermaid typescript nodejs cli api_integration diagram_validation
runeape_sats_unreal_mcp
runeape_sats_unreal_mcp by runeape-sats
8

This repository contains a Model Context Protocol (MCP) Python server that allows Claude Desktop to interact with Unreal Engine 5.3 via the Remote Control API. It enables users to create and manipulate 3D objects in Unreal Engine using natural language prompts, bridging the gap between text-based commands and 3D scene generation. The server supports features like object creation, scene manipulation, and asset discovery, making it a powerful tool for integrating AI with game development workflows.

mcp_server model_context_protocol python unreal_engine claude api_integration 3d_modeling text_to_scene
seekrays_seekchat
seekrays_seekchat by seekrays
8

SeekChat is a powerful AI desktop assistant that integrates with the Model Context Protocol (MCP) to enable AI-driven task automation. It supports multiple AI providers, including OpenAI, Anthropic (Claude), and Google (Gemini), and offers features like local storage for chat history, multi-language support, and a modern user interface. SeekChat turns AI into a truly intelligent assistant for tasks such as file management, data analysis, and code development.

mcp_server model_context_protocol ai_desktop_assistant automation javascript react electron openai claude gemini local_storage multi_language
skobyn_dataforseo_mcp_server

The SEO Tools MCP Server facilitates seamless integration between Large Language Models (LLMs) like Claude and various SEO APIs, including DataForSEO. It enables natural language interactions for tasks such as SEO analysis, keyword research, backlink analysis, and more. The server uses stdio as its transport layer, making it easy to integrate with LLM platforms and exposing major DataForSEO API endpoints as MCP tools.

mcp_server model_context_protocol typescript seo api_integration claude dataforseo search keywords
theronic_datomic_mcp
theronic_datomic_mcp by theronic
8

mcp_server model_context_protocol
yfgaia_gaia_x
yfgaia_gaia_x by YFGaia
8

Gaia-X is a next-generation enterprise AI application platform designed to empower business scenarios with human-like AI capabilities. It supports MCP Server integration, enabling the conversion of internal APIs into MCP services, and features natural language-driven RPA, text selection analysis, and multi-agent collaboration. The platform ensures operational security through sandbox environments and offers enterprise management functionalities like user authentication and quota management.

mcp_server model_context_protocol enterprise_ai rpa multi_agent_collaboration typescript go python claude openai api_integration
yokingma_one_search_mcp
8

The OneSearch MCP Server is a Model Context Protocol (MCP) implementation designed to integrate with search engines and web scrapers like Searxng, Firecrawl, and Tavily. It enables web search, crawling, scraping, and content extraction, supporting both self-hosted and cloud-based services. The server is configurable via environment variables and can be deployed locally or integrated into existing workflows.

mcp_server model_context_protocol typescript javascript search api_integration searxng firecrawl tavily docker
yuchenssr_quantum_simulator_mcp

The Quantum Simulator MCP Server provides a Docker image for simulating quantum circuits with noise models, supporting OpenQASM 2.0 and Qiskit. It integrates seamlessly with MCP clients such as Claude for Desktop, offering features like noise model support, result types, and pre-configured example circuits. The server is designed for easy setup and usage, with volume mapping and environment variables for output customization.

mcp_server model_context_protocol quantum_computing openqasm qiskit docker claude api_integration
abiorh001_mcp_connect
abiorh001_mcp_connect by Abiorh001
7

MCPOmni Connect is a powerful command-line interface (CLI) designed to seamlessly connect to various Model Context Protocol (MCP) servers. It supports stdio transport, integrates with OpenAI models, and offers dynamic tool and resource management. The CLI enables multi-protocol support, AI-powered intelligence, and secure communication, making it a universal gateway to the MCP ecosystem.

mcp_server model_context_protocol python cli openai api_integration docker tool_orchestration
abiorh001_mcp_omni_connect

MCPOmni Connect is a powerful command-line interface (CLI) designed to serve as a universal gateway to the Model Context Protocol (MCP) ecosystem. It seamlessly integrates multiple MCP servers, AI models, and various transport protocols into a unified interface. Key features include multi-protocol support, advanced LLM integration, dynamic tool and resource management, and secure communication. It supports OpenAI, OpenRouter, and Groq models, enabling intelligent context management and cross-server tool orchestration.

mcp_server model_context_protocol python cli openai ai_integration tool_orchestration api_integration docker search
alejandroballesterosc_document_edit_mcp
alejandroballesterosc_document_edit_mcp by alejandroBallesterosC
7

The Claude Document MCP Server is a lightweight implementation of the Model Context Protocol (MCP) designed to provide document manipulation capabilities for Claude Desktop. It supports operations on Microsoft Word, Excel, and PDF files, including creating, editing, and converting documents. The server integrates seamlessly with Claude Desktop, enabling users to perform complex document tasks directly from the application.

mcp_server model_context_protocol python shell claude document_processing api_integration word excel pdf
ashiknesin_pushover_mcp
ashiknesin_pushover_mcp by AshikNesin
7

mcp_server model_context_protocol
azreal42_yetanotherunitymcp

mcp_server model_context_protocol
bhouston_mcp_server_text_editor

mcp_server model_context_protocol
bsmi021_mcp_chain_of_draft_server

mcp_server model_context_protocol
conechoai_nchan_mcp_transport

Nchan MCP Transport provides a real-time API gateway for MCP clients like Claude, enabling seamless communication over WebSocket or Server-Sent Events (SSE). Built on Nginx, Nchan, and FastAPI, it offers low-latency pub/sub, scalable AI integrations, and OpenAPI tooling. Ideal for developers building Claude plugins, LLM agents, or integrating external APIs via MCP.

mcp_server model_context_protocol python typescript javascript claude websocket sse nginx nchan fastapi docker api_integration real-time
danielmeppiel_mcp_db_context
danielmeppiel_mcp_db_context by danielmeppiel
7

The Oracle Database Context Server is a Model Context Protocol (MCP) implementation designed to help AI assistants like GitHub Copilot and Claude understand and interact with large Oracle databases. It intelligently caches and serves database schema information, allowing AI tools to look up table schemas, search for tables, and understand relationships and foreign keys. The server supports integration with GitHub Copilot in VSCode, enabling seamless database context access during development.

mcp_server model_context_protocol oracle python docker ai_integration schema_caching vscode github_copilot
dougwithseismic_withseismic_mcp
dougwithseismic_withseismic_mcp by dougwithseismic
7

The WithSeismic MCP Server Template provides a robust framework for developers to build and host AI tools and prompts. It supports both remote server mode for production deployments and local mode for development and testing. The template includes features like auto-discovery, type safety, and scalable architecture, making it ideal for AI tool developers, teams, and organizations. It simplifies the process of exposing services to AI models through a standardized interface, allowing developers to focus on building great tools rather than managing infrastructure.

mcp_server model_context_protocol typescript nodejs ai_tools api_integration docker prompts tools