Seamless automation and intelligent control over your Unity projects. By integrating with the MCP server and client, it allows AI agents or external tools to interact with your Unity environment—creating, modifying, and managing GameObjects, Components, Assets, Scenes, and more.

Enables searching for files by name fragments via JSON-RPC or an HTTP REST API, with options for direct use or integration with other tools like VS Code.

A server for task orchestration and coordination, facilitating task management with dependencies, multi-instance collaboration, and persistent task tracking.

A server that enables AI assistants to understand and interact with Unity projects in real-time, providing access to scene hierarchy, project settings, and the ability to execute code directly in the Unity Editor.

Provides comprehensive tools for managing GitHub projects, milestones, tasks, and sprints. This server integrates deeply with GitHub Projects V2, offering features like automated kanban workflows, sprint planning, and custom field management.

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

A TypeScript-based MCP server for handling a simple notes system with NextJS that supports creating and summarizing text notes using MCP concepts.

A Model Context Protocol server that converts Markdown content to HTML format.

A comprehensive suite of Model Context Protocol servers designed to extend AI agent Claude's capabilities with integrations for knowledge management, reasoning, advanced search, news access, and workspace tools.

Converts Dify tools' API to MCP (Model Control Protocol) compatible API, allowing tools created in Dify to be accessed from MCP clients like Cherry Studio.

FastMCP is a comprehensive MCP server allowing secure and standardized data and functionality exposure to LLM applications, offering resources, tools, and prompt management for efficient LLM interactions.

A demonstration project that uses Cloudflare Workers MCP to create custom AI tools that can be integrated with Claude, Cursor, and other AI assistants supporting the Model Context Protocol.

Enables integration with Vapi APIs through function calling via the Model Context Protocol, allowing AI models to access Vapi's capabilities.

An advanced MCP server that implements sophisticated sequential thinking using a coordinated team of specialized AI agents (Planner, Researcher, Analyzer, Critic, Synthesizer) to deeply analyze problems and provide high-quality, structured reasoning.

A Model Context Protocol (MCP) server for programmatically creating and managing n8n workflows.

Connects a RAG application to open-webui using Model Context Protocol (MCP), enabling server-to-client communication for context retrieval and tool usage in remote environments through Server-Sent Events (SSE).

A Model Context Protocol server that provides a scalable backend solution for efficient interaction with Medusa's data models through the JavaScript SDK.

A Model Context Protocol server that provides basic calculator functionality for LLMs, enabling them to perform mathematical operations like addition, subtraction, multiplication, division, modulo, and square root.

A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.

A dedicated server that wraps Google's Gemini AI models in a Model Context Protocol (MCP) interface, allowing other LLMs and MCP-compatible systems to access Gemini's capabilities like content generation, function calling, chat, and file handling through standardized tools.

A comprehensive Model Context Protocol server that provides advanced Node.js development tooling for automating project creation, component generation, package management, and documentation with AI-powered assistance.

This server integrates DeepSeek and Claude AI models to provide enhanced AI responses, featuring a RESTful API, configurable parameters, and robust error handling.

A local CLI & API for MCP management that allows users to download, install, manage, and interact with MCPs from GitHub, featuring process state management, port allocation, and HTTP API routes.

An MCP server that connects to the Resource Hub, allowing centralized configuration and management of tools and resources across different MCP environments.

Phoenix MCP Server is an implementation of the Model Context Protocol for the Arize Phoenix platform. It provides a unified interface to Phoenix's capabilites.

You can use Phoenix MCP Server for:

Prompts Management: Create, list, update, and iterate on prompts
Datasets: Explore datasets, and synte