MCP Unity Editor alternatives

1

Unity MCP

AI-powered game development assistant bridging MCP and Unity.

Unity MCP serves as an AI-powered assistant for game developers, acting as a bridge between MCP clients and the Unity engine. It enables natural chat-based interactions to perform various development tasks using large language models from multiple providers. The system offers tools for code assistance, debugging, and flexible deployment options, supporting both local and remote workflows. Its extensibility allows for the creation of custom MCP tools to enhance developer productivity in the Unity environment.

510 53 MCP

2

Godot MCP

A Model Context Protocol (MCP) server implementation using Godot and Node.js.

Godot MCP implements the Model Context Protocol (MCP) as a server, leveraging the Godot game engine along with Node.js and TypeScript technologies. Designed for seamless integration and efficient context management, it aims to facilitate standardized communication between AI models and applications. This project offers a ready-to-use MCP server for developers utilizing Godot and modern JavaScript stacks.

1,071 124 MCP

3

Wanaku MCP Router

A router connecting AI-enabled applications through the Model Context Protocol.

Wanaku MCP Router serves as a middleware router facilitating standardized context exchange between AI-enabled applications and large language models via the Model Context Protocol (MCP). It streamlines context provisioning, allowing seamless integration and communication in multi-model AI environments. The tool aims to unify and optimize the way applications provide relevant context to LLMs, leveraging open protocol standards.

87 32 MCP

4

AtomGit MCP Server

AI-powered management and automation of AtomGit repositories via the Model Context Protocol.

AtomGit MCP Server implements the Model Context Protocol to enable AI-driven management and automation of AtomGit open collaboration platform repositories. It offers methods for managing repositories, issues, pull requests, branches, and labels, allowing seamless AI interaction with AtomGit. The server supports integration with platforms like Claude and VSCode, providing a standardized interface for AI to orchestrate complex collaboration workflows. Built with Node.js and easily deployable via npx or from source, it focuses on expanding collaborative capabilities using AI agents.

7 4 MCP

5

Zettelkasten MCP Server

A Zettelkasten-based knowledge management system implementing the Model Context Protocol.

Zettelkasten MCP Server provides an implementation of the Zettelkasten note-taking methodology, enriched with bidirectional linking, semantic relationships, and categorization of notes. It enables creation, exploration, and synthesis of atomic knowledge using MCP for AI-assisted workflows. The system integrates with clients such as Claude and supports markdown, advanced search, and a structured prompt framework for large language models. The dual storage architecture and synchronous operation model ensure flexibility and reliability for managing personal or collaborative knowledge bases.

114 21 MCP

6

MCP Tic-Tac-Toe

A Model Context Protocol server for playing and analyzing tic-tac-toe games through standardized tool interfaces.

MCP Tic-Tac-Toe is a server implementation that provides a complete set of MCP tools for playing, managing, and analyzing tic-tac-toe games. It supports interactions with AI assistants such as Claude, enabling features like creating multiple parallel sessions, making moves, providing strategic analysis, and managing game context. The server is designed for easy integration with clients through various transport methods, including stdio and SSE, and supports seamless AI-human collaboration.

2 1 MCP

7

QGISMCP

Integrate QGIS with Claude AI via Model Context Protocol

QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), enabling seamless two-way communication between the GIS platform and the AI assistant. It features a QGIS plugin that sets up a socket server and a dedicated MCP server for processing commands, facilitating tasks such as project manipulation, layer management, and Python code execution directly from Claude. This integration empowers users to streamline project creation, layer loading, and advanced automation within QGIS through AI-driven interaction.

691 99 MCP

8

MCP Simple Timeserver

Provides local and UTC time to AI models via the Model Context Protocol.

MCP Simple Timeserver provides current local time, timezone, and UTC information to AI models such as Claude by serving as a Model Context Protocol (MCP) tool. It offers two main endpoints: one for retrieving the user's local time and timezone, and another for fetching the current UTC time from an NTP server. The project supports both local and web server deployments and can be integrated into the Claude desktop app to enhance temporal awareness for LLMs.

25 15 MCP

9

MCP Zotero

Model Context Protocol server for seamless Zotero integration with AI tools.

MCP Zotero provides a Model Context Protocol server enabling AI models such as Claude to access and interact with Zotero libraries. Users can securely link their Zotero accounts and perform actions including listing collections, retrieving papers, searching the library, and getting details about specific items. Integration is designed for both standalone operation and as an extension for tools like Claude Desktop.

137 17 MCP

10

Content Core

AI-powered content extraction and processing platform with seamless model context integration.

Content Core is an AI-driven platform for extracting, formatting, transcribing, and summarizing content from a wide variety of sources including documents, media files, web pages, images, and archives. It offers intelligent auto-detection and engine selection to optimize processing, and provides integrations via CLI, Python library, Raycast extension, macOS Services, and the Model Context Protocol (MCP). The platform supports context-aware AI summaries and direct integration with Claude through MCP for enhanced user workflows. Users can access zero-install options and benefit from enhanced processing capabilities such as advanced PDF parsing, OCR, and smart summarization.

85 20 MCP

11

MCP-timeserver

A simple MCP server providing date and time information to agentic systems.

MCP-timeserver exposes current datetime information via a custom datetime URI scheme compatible with the Model Context Protocol. It allows agentic systems and chat REPLs to access timezone-aware current times and offers a tool to fetch the system's local time. The server is designed to integrate with MCP-based workflows by providing standardized datetime resources.

39 17 MCP

12

MCP Chess Server

Play chess against any LLM via Model Context Protocol tools.

MCP Chess Server enables interactive chess gameplay between users and any large language model (LLM) by exposing standardized model context protocol tools. Users can play chess, analyze games from PGN files, and visualize board states through a variety of programmatically accessible functions. The system supports move validation, game state visualization, turn detection, and position finding within PGN strings, making it suitable for both human and automated (AI/LLM-driven) play and analysis.

14 6 MCP

13

Advanced Unity MCP from Code Maestro

Control Unity with AI through natural language commands.

Advanced Unity MCP from Code Maestro enables direct interaction with the Unity Editor using natural language commands powered by AI. It bridges AI assistants like Code Maestro Desktop App, GitHub Copilot, Cursor, and others to the Unity Editor using the Model Context Protocol (MCP). Users can automate Unity tasks such as asset management, scene configuration, building projects, and more without manual intervention. The system supports both direct and relay server connections for flexible integration with various AI clients.

70 5 MCP

14

mcp

Universal remote MCP server connecting AI clients to productivity tools.

WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

27 6 MCP

15

Sequa MCP

Bridge Sequa's advanced context engine to any MCP-capable AI client.

Sequa MCP acts as a seamless integration layer, connecting Sequa’s knowledge engine with various AI coding assistants and IDEs via the Model Context Protocol (MCP). It enables tools to leverage Sequa’s contextual knowledge streams, enhancing code understanding and task execution across multiple repositories. The solution provides a simple proxy command to interface with standardized MCP transports, supporting configuration in popular environments such as Cursor, Claude, VSCode, and others. Its core purpose is to deliver deep, project-specific context to LLM agents through a unified and streamable endpoint.

16 3 MCP

16

PostHog MCP

Easily deploy and manage Model Context Protocol servers across multiple platforms.

PostHog MCP provides a server implementation for the Model Context Protocol, now maintained within the PostHog monorepo. It enables quick deployment for enhanced model context management across editors like Cursor, Claude, Claude Code, VS Code, and Zed. Users can install the MCP server with a single command, streamlining integration for large language model workflows. Documentation and further details are provided through official PostHog resources.

138 23 MCP

17

Insforge MCP Server

A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.

Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

3 2 MCP

18

Taskade MCP

Tools and server for Model Context Protocol workflows and agent integration

Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

90 20 MCP

19

codemirror-mcp

CodeMirror extension for Model Context Protocol resource mentions and prompt commands

codemirror-mcp provides a CodeMirror extension that implements the Model Context Protocol (MCP) to enable resource mention handling and prompt command integration within code editors. It offers autocomplete, visual decorations, and interaction support for '@resource' mentions, as well as command triggers using the '/prompt' syntax. The extension integrates with model context servers using a defined transport and enhances the editor experience with resource click handling and customizable theming.

78 3 MCP

20

Mastra

A TypeScript framework for building scalable AI-powered agents and applications.

Mastra is a modern TypeScript-based framework designed for developing AI-powered applications and autonomous agents. It offers model routing to integrate over 40 AI providers, a graph-based workflow engine, advanced context management, and production-ready tools for observability and evaluation. Mastra features built-in support for authoring Model Context Protocol (MCP) servers, enabling standardized exposure of agents, tools, and structured AI resources via the MCP interface.

18,189 1,276 MCP

21

Octocode MCP

Enterprise-grade AI context server for codebase research and analysis.

Octocode MCP is a Model Context Protocol (MCP) server designed to enable AI assistants to search, analyze, and extract insights from millions of GitHub repositories with high security and token efficiency. It offers intelligent orchestration for deep code research, planning, and agentic workflows, streamlining the process of building and understanding complex software projects. The platform features robust tools and commands, such as /research for expert code research, designed to support developers and AI systems with context-rich information.

577 45 MCP

22

OpenMCP

A standard and registry for converting web APIs into MCP servers.

OpenMCP defines a standard for converting various web APIs into servers compatible with the Model Context Protocol (MCP), enabling efficient, token-aware communication with client LLMs. It also provides an open-source registry of compliant servers, allowing clients to access a wide array of external services. The platform supports integration with local and remote hosting environments and offers tools for configuring supported clients, such as Claude desktop and Cursor. Comprehensive guidance is offered for adapting different API formats including REST, gRPC, GraphQL, and more into MCP endpoints.

252 27 MCP

23

mcpmcp-server

Seamlessly discover, set up, and integrate MCP servers with AI clients.

mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

17 6 MCP

24

dbt MCP Server

Bridge dbt projects and AI agents with rich project context.

dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

420 90 MCP

25

Codex MCP Server

An MCP-compatible server delivering enriched blockchain data for AI models.

Codex MCP Server implements the Model Context Protocol to provide enriched blockchain data from Codex. It is compatible with MCP clients such as Claude Desktop and Claude CLI, allowing seamless integration in AI workflows that require blockchain context. Users can run the server locally or via npx, and configure it for various MCP-compatible tools using their Codex API key.

20 4 MCP

26

Opik MCP Server

A unified Model Context Protocol server for Opik with multi-transport IDE integration.

Opik MCP Server is an open-source implementation of the Model Context Protocol (MCP) designed for the Opik platform. It enables seamless integration with compatible IDEs and provides a unified interface to manage Opik's features such as prompts, projects, traces, and metrics. Supporting multiple transport mechanisms like stdio and experimental SSE, it simplifies workflow integration and platform management for LLM applications. The tool aims to streamline development and monitoring by offering standardized access and control over Opik's capabilities.

182 27 MCP

27

MCP Language Server

Bridge codebase navigation tools to AI models using MCP-enabled language servers.

MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

1,256 94 MCP

28

mcp-code-runner

A Docker-based code runner implementing the MCP protocol

mcp-code-runner is a code execution service built on top of the Model Context Protocol (MCP). It enables users to execute code securely within Docker containers and retrieve the execution results. The tool is designed to support code execution use cases while adhering to the MCP standard for interoperability. A local Docker environment is required for operation.

14 4 MCP

29

awslabs/mcp

Specialized MCP servers for seamless AWS integration in AI and development environments.

AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

6,220 829 MCP

30

mcp-server-js

Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.

YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.

31 13 MCP

31

1mcp-app/agent

A unified server that aggregates and manages multiple Model Context Protocol servers.

1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

96 14 MCP

32

Neovim MCP Server

Connect AI assistants to Neovim via the Model Context Protocol.

Neovim MCP Server enables seamless integration between Neovim instances and AI assistants by implementing the Model Context Protocol (MCP). It allows for multi-connection management, supports both stdio and HTTP server transport modes, and provides access to structured diagnostic information via URI schemes. With LSP integration, plugin support, and an extensible tool system, it facilitates advanced interaction with Neovim for context-aware AI workflows.

20 3 MCP

33

Portainer MCP

Connect AI assistants securely to Portainer environments using the Model Context Protocol.

Portainer MCP is an implementation of the Model Context Protocol (MCP) designed for seamless integration between AI assistants and Portainer-managed container environments. It enables management of Portainer resources and allows execution of Docker and Kubernetes commands through AI interfaces in a secure, standardized manner. The tool provides direct protocol-based access to environment data, facilitating automation and operational insights for container infrastructures.

81 16 MCP

34

MCP Claude Code

Claude Code-like functionality via the Model Context Protocol.

Implements a server utilizing the Model Context Protocol to enable Claude Code functionality, allowing AI agents to perform advanced codebase analysis, modification, and command execution. Supports code understanding, file management, and integration with various LLM providers. Offers specialized tools for searching, editing, and delegating tasks, with robust support for Jupyter notebooks. Designed for seamless collaboration with MCP clients including Claude Desktop.

281 33 MCP

35

LLM Context

Reduce friction when providing context to LLMs with smart file selection and rule-based filtering.

LLM Context streamlines the process of sharing relevant project files and context with large language models. It employs smart file selection and customizable rule-based filtering to ensure only the most pertinent information is provided. The tool supports Model Context Protocol (MCP), allowing AI models to access additional files seamlessly through standardized commands. Integration with MCP enables instant project context sharing during AI conversations, enhancing productivity and collaboration.

283 26 MCP

36

Hive Intelligence MCP Server

Unified MCP server delivering advanced cryptocurrency and Web3 analytics.

Hive Intelligence MCP Server provides comprehensive cryptocurrency, DeFi, and Web3 analytics via the Model Context Protocol. It enables AI assistants to access and orchestrate over 200 specialized tools covering market data, on-chain analytics, portfolio tracking, and security analysis. The server offers both dynamic and category-specific analytics through a unified MCP interface, facilitating intelligent tool orchestration for diverse crypto data needs.

7 5 MCP

37

Remote-MCP

A type-safe, bidirectional system for remote Model Context Protocol communication.

Remote-MCP provides a simple and secure way to enable remote access to and centralized management of model contexts using the Model Context Protocol. It bridges local MCP clients with remote MCP servers, supporting a modular architecture via tRPC over HTTP. The tool allows integration both as a client and a server, catering to real-time remote access needs ahead of the official MCP roadmap.

200 29 MCP

38

QA Sphere MCP Server

Model Context Protocol server enabling LLMs to interact with QA Sphere test cases

QA Sphere MCP Server provides a Model Context Protocol (MCP) integration for QA Sphere, allowing Large Language Models to interact with, discover, and summarize test cases within the QA Sphere test management system. It enables AI-powered IDEs and MCP clients to reference and manipulate QA Sphere test case data within development workflows. The solution supports quick integration into clients like Claude, Cursor, and 5ire, facilitating seamless collaboration and context sharing for AI-assisted development.

15 6 MCP

39

Agentset MCP

Open-source MCP server for Retrieval-Augmented Generation (RAG) document applications.

Agentset MCP provides a Model Context Protocol (MCP) server designed to power context-aware, document-based applications using Retrieval-Augmented Generation. It enables developers to rapidly integrate intelligent context retrieval into their workflows and supports integration with AI platforms such as Claude. The server is easily installable via major JavaScript package managers and supports environment configuration for namespaces, tenant IDs, and tool descriptions.

22 10 MCP

40

blender-mcp

Seamless integration between Blender and Claude AI using the Model Context Protocol.

BlenderMCP enables direct interaction between Blender and Claude AI by leveraging the Model Context Protocol (MCP). It allows users to create, manipulate, and inspect 3D scenes in Blender through natural language commands sent to Claude, which communicates with Blender via a custom socket server and an addon. The solution features two-way communication, object and material manipulation, code execution within Blender, and easy integration with tools like Cursor, Visual Studio Code, and Claude for Desktop.

13,092 1,232 MCP

41

Flowcore Platform MCP Server

A standardized MCP server for managing and interacting with Flowcore Platform resources.

Flowcore Platform MCP Server provides an implementation of the Model Context Protocol (MCP) for seamless interaction and management of Flowcore resources. It enables AI assistants to query and control the Flowcore Platform using a structured API, allowing for enhanced context handling and data access. The server supports easy deployment with npx, npm, or Bun and requires user authentication using Flowcore credentials.

9 5 MCP

42

MCP Proxy Monorepo

Monorepo for MCP (Model Control Protocol) servers enabling AI integrations.

MCP Proxy Monorepo provides servers implementing the Model Control Protocol (MCP) for integrating AI services, particularly through Bitte AI. It offers a structured framework for hosting and developing MCP-compliant server packages and supports scalable, multi-service deployments. The project is built using Bun for the JavaScript runtime, Turborepo for monorepo management, and includes tools for development, code quality, and package extensibility.

13 2 MCP

43

QuantConnect MCP Server

Official bridge for secure AI access to QuantConnect's algorithmic trading cloud platform

QuantConnect MCP Server enables artificial intelligence systems such as Claude and OpenAI to interface with QuantConnect's cloud platform through an official, secure, and dockerized implementation of the Model Context Protocol (MCP). It facilitates automated project management, strategy writing, backtesting, and live deployment by exposing a comprehensive suite of API tools for users with valid access credentials. As the maintained official version, it ensures security, easy deployment, and cross-platform compatibility for advanced algorithmic trading automation.

50 19 MCP

44

Pica MCP Server

A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.

Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

8 5 MCP

45

@bldbl/mcp

Official MCP client for integrating AI assistants with Buildable projects.

@bldbl/mcp enables AI assistants like Claude and GPT to directly interact with Buildable projects using the Model Context Protocol (MCP). It provides full project context, smart task management, real-time progress tracking, and facilitates seamless communication between AI and human developers. TypeScript support and CLI tools ensure robust integration, making it ready for platforms like Claude Desktop and Cursor AI. The tool simplifies AI-driven project management and collaboration in software development.

8 7 MCP

46

ROS MCP

Natural language interface for controlling ROS robots using the Model Context Protocol

ROS MCP is a server that implements the Model Context Protocol (MCP) to enable natural language control of robots in ROS environments. It facilitates communication with ROS topics, services, and actions, supporting any ROS message type. The system integrates with GUI tools through a socket server and can be used with Claude Desktop for interactive robot management. Key functionalities include topic management, node control, service interaction, and process management for ROS2-powered robots.

26 3 MCP

47

mcp-get

A command-line tool for discovering, installing, and managing Model Context Protocol servers.

mcp-get is a CLI tool designed to help users discover, install, and manage Model Context Protocol (MCP) servers. It enables seamless integration of Large Language Models (LLMs) with various external data sources and tools by utilizing a standardized protocol. The tool provides access to a curated registry of MCP servers and supports installation and management across multiple programming languages and environments. Although now archived, mcp-get simplifies environment variable management, package versioning, and server updates to enhance the LLM ecosystem.

497 103 MCP

48

AgentMail Toolkit

Integrates agent frameworks and protocols with AgentMail API for seamless interoperability.

AgentMail Toolkit provides seamless integration of popular agent frameworks and protocols, including the Model Context Protocol (MCP), OpenAI Agents SDK, and Vercel AI SDK, with the AgentMail API. It supports both Python and Node environments, enabling developers to build and manage agent workflows across different platforms and standards.

32 7 MCP

49

SpaceBridge-MCP

A Model Context Protocol server for seamless AI-assisted issue management via SpaceBridge.

SpaceBridge-MCP offers a Model Context Protocol (MCP) server that enables AI assistants and coding tools to interact directly with the SpaceBridge issue aggregation platform. It supports searching, creating, viewing, and updating issues across multiple trackers such as Jira and GitHub, using natural language requests. It also provides automated duplicate detection with LLM-based comparison to streamline issue creation workflows. The server acts as a bridge between AI-powered development environments and issue management systems, enhancing context sharing and productivity.

5 2 MCP

50

Token Minter MCP

MCP server enabling AI agents to mint and manage ERC-20 tokens on 21 blockchains.

Token Minter MCP is an MCP server that empowers AI agents to deploy and manage ERC-20 tokens across 21 blockchains. It provides tools to create tokens, query metadata, initiate token transfers, and retrieve transaction details. The server also offers interactive prompts to guide token deployment and exposes token metadata via standardized URIs. Built on Node.js, it integrates with EVM networks using Infura and private keys for transaction signing.

17 13 MCP

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