The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.

A software development planning tool based on the Model Context Protocol (MCP), which provides functions for task breakdown, progress tracking, and development plan management to help teams efficiently plan software development projects.

The Tandoor MCP Server is a Model Context Protocol server for interacting with Tandoor Recipe Manager. It supports functions such as creating recipes, managing meal plans, searching for recipes, obtaining detailed information, and managing shopping lists.

An MCP service that helps technical coaches create structured learning hour meeting content, following the 4C learning model to generate a complete 60 - minute technical practice course plan including connection, concept, practice, and conclusion.

Yellhorn MCP is a model context protocol server that provides full codebase context support for code assistants by integrating the capabilities of Gemini and OpenAI, enabling development task planning, code review, and isolated environment creation.

The PubMed MCP Server is an interface service based on the Model Context Protocol, providing comprehensive access to the PubMed biomedical literature database for AI agents and research tools. It supports functions such as literature search, metadata acquisition, citation analysis, research plan generation, and data visualization, and is efficiently integrated through the NCBI E - utilities API.

The OpenRouter Agents MCP Server is a research agent server based on the Model Context Protocol (MCP). It uses Claude 3.7 Sonnet as the planning agent to coordinate multiple OpenRouter models to decompose and execute complex research tasks, providing efficient and reliable AI research services.

A PostgreSQL database interaction tool based on the Go language, providing CRUD operations and read-only mode, supporting multi-language and query plan check.

A locally prioritized and agent-agnostic model context protocol server based on the Auggie SDK, providing codebase semantic search, file retrieval, intelligent planning, code review, and cross-session memory functions. It supports integration with multiple MCP clients.

OpenManus is an open-source project that allows users to realize various ideas without an invitation code. It was built by members of the MetaGPT team in 3 hours. It provides a simple implementation that allows users to create their own intelligent agents and supports multiple languages and configurations. The project welcomes suggestions, contributions, and feedback. Future plans include better planning, real-time demonstrations, playback functions, RL fine-tuning models, and comprehensive benchmarking.

The Plane MCP Server is a model context protocol server that provides seamless integration with the Plane API, supporting functions such as project management, work item operations, and automation processes. It is suitable for developers and AI tool integration.

The ConsultingAgents MCP Server is a multi - model consulting agent server that provides four AI expert consulting services (Darren, Sonny, Sergey, Gemma) for Claude Code through the MCP protocol, supporting code analysis, document search, and repository - level development planning.

OmniMCP is a tool that provides rich UI context and interaction capabilities for AI models through the Model Context Protocol (MCP) and OmniParser. It focuses on achieving in - depth understanding of the user interface through visual analysis, structured planning, and precise interaction execution.

This project implements a MATLAB Model Context Protocol (MCP) server, supporting interaction with a shared MATLAB session through a Python interface. It provides functions such as code execution and variable retrieval, and plans to expand support for more tools and data types.

An MCP server that provides random algorithms and probabilistic decision-making capabilities. It extends sequential thinking through advanced mathematical models, helping AI assistants break out of local thinking patterns and make better decision plans.

The Mapbox MCP service is a navigation and geographic search service based on the Mapbox API, providing functions such as route planning, distance matrix calculation, and location search, supporting multiple languages and various travel modes.

PentestThinkingMCP is an automated penetration testing framework based on large language models and the MCP protocol. It can plan attack paths through Beam Search and MCTS algorithms, providing step reasoning, tool recommendation, and key path analysis for CTF, HTB, and real - world penetration testing.

Planfix MCP Server is a project that integrates the Planfix business management system with the Model Context Protocol (MCP), providing functions such as task management, project management, CRM contacts, and data analysis, and supporting operations through AI assistants such as Claude.

This is a server project based on Model Context Protocol (MCP), aiming to integrate with Kakao Mobility and Kakao Map APIs to provide route planning and location search services suitable for the South Korean environment.

The MCP Thought Server is a service that provides advanced thinking tools for AI agents, enhancing reasoning, planning, and iterative optimization capabilities through the Model Context Protocol (MCP). It includes tools such as structured thinking, iterative drafting, and integrated thinking, supports SQLite persistence and an advanced confidence scoring system, and can configure environment variables to meet different needs.

The Unity MCP Package is a Unity plugin focused on enhanced material editing. It implements two - way communication between Unity and large language models based on the MCP protocol, supports functions such as asset management, scene control, and script integration, and plans to add more advanced features.

An intelligent task management system based on the Model Context Protocol (MCP), providing an efficient programming workflow framework for AI agents, with functions such as task planning, decomposition, dependency management, verification, and memory.

AI Expert Workflow MCP is a model context protocol server based on the OpenRouter API. Through three AI expert roles of product manager, UX designer, and software architect, it provides a complete workflow solution from product planning to technical implementation. The project supports independent generation of PRD documents and can also be integrated with Task Master for task management.

OmniMCP is a project that provides rich UI context and interaction capabilities for AI models through the Model Context Protocol (MCP) and OmniParser. It supports functions such as visual perception, LLM planning, and action execution, enabling in - depth understanding and precise interaction with the user interface.

This is a Model Context Protocol (MCP) server based on TypeScript, which provides the ability to access the Stadia Maps API, including geolocation services, geocoding, route planning, and map generation.

The Insights Knowledge Base (IKB) MCP Server is a plug-and-play free knowledge base with over 10,000 high-quality insight reports built-in. It supports local secure storage and private document parsing. The project has optimized data processing efficiency, provides weekly report updates, and plans to integrate embedding models and enhance the report system in the future.

A comprehensive modern Python wrapper for the Planning Center API, using Pydantic and asynchronous mode, providing type - safe data access, Webhook handling, and MCP server integration, supporting all Planning Center products.

A Flutter - based HTN planning system that enables visual modeling and management of complex tasks through AI dialogue

This project is a Model Control Plane (MCP) server integrating OpenAI services, Git repository analysis, local file system operations, and Prometheus monitoring, providing a unified API interface and support for multiple tools.

The Allstacks MCP Server is a Model Context Protocol service that provides comprehensive access to the Allstacks API. It supports over 208 tools through HTTP basic authentication, covering 12 categories such as metric analysis, work item management, user teams, organizational projects, dashboards, employee analysis, predictive planning, tag management, alert monitoring, AI intelligence, work packages, and risk management.

A Remote Model Context Protocol (MCP) server that connects to the Washington, D.C. Metro (WMATA) API, supporting natural language queries for real-time traffic information, station navigation, trip planning, etc. It can be deployed on Cloudflare Workers.

The Health & Fitness Coach MCP is an AI - driven comprehensive fitness tracking application, including a Web dashboard and an MCP server. It enables intelligent interaction between the AI assistant and fitness data through the Model Context Protocol, providing functions such as exercise recording, nutrition tracking, and personalized plan generation.

Hi-AI is an AI development assistant based on the Model Context Protocol (MCP), offering 36 professional tools. It supports natural language keyword recognition, intelligent memory management, code analysis, project planning, and task management, helping developers efficiently complete complex development tasks.

This is a server project based on the Model Context Protocol (MCP), aiming to integrate with the Kakao Mobility and Kakao Map APIs to provide route planning and location search services suitable for the domestic environment in South Korea.

The AutoNavi Map Navigation MCP tool is an interactive map navigation system based on FastAPI and fastmcp, supporting three navigation modes: driving, cycling, and walking. It realizes real-time route planning and session management through WebSocket and is only for local development testing.

MCP Server and Tools is a project for building agents and complex workflows based on large language models (LLMs). It integrates with real - time data and tools through the Educhain library and supports the generation of educational content such as multiple - choice questions, lesson plans, and flashcards.

Ads MCP is a remote model context protocol server for cross - platform advertising campaign planning, research, and creation. It supports platforms such as Google Ads and TikTok, and provides asset management and end - to - end advertising campaign creation tools.