Unity MCP alternatives

1

Unichat MCP Server

Universal MCP server providing context-aware AI chat and code tools across major model vendors.

Unichat MCP Server enables sending standardized requests to leading AI model vendors, including OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, and Inception, utilizing the Model Context Protocol. It features unified endpoints for chat interactions and provides specialized tools for code review, documentation generation, code explanation, and programmatic code reworking. The server is designed for seamless integration with platforms like Claude Desktop and installation via Smithery. Vendor API keys are required for secure access to supported providers.

37 10 MCP

2

Lucidity MCP

Intelligent prompt-based code quality analysis for AI coding assistants.

Lucidity MCP is a Model Context Protocol (MCP) server that empowers AI coding assistants to deliver high-quality code through intelligent, prompt-driven analysis. It offers comprehensive detection of code issues across multiple quality dimensions, providing structured and actionable feedback. With language-agnostic capabilities, extensible framework, and flexible transport options, Lucidity MCP seamlessly integrates into developer workflows and AI systems.

72 20 MCP

3

Klavis

One MCP server for AI agents to handle thousands of tools.

Klavis provides an MCP (Model Context Protocol) server with over 100 prebuilt integrations for AI agents, enabling seamless connectivity with various tools and services. It offers both cloud-hosted and self-hosted deployment options and includes out-of-the-box OAuth support for secure authentication. Klavis is designed to act as an intelligent connector, streamlining workflow automation and enhancing agent capability through standardized context management.

5,447 500 MCP

4

Linked API MCP

Connect LinkedIn to AI assistants for automated engagement and research.

Linked API MCP enables AI assistants like Claude, Cursor, and VS Code to interact with LinkedIn through a secure cloud browser. It allows automated searching for leads, profile analysis, messaging, and market research on LinkedIn. The solution is designed for sales, recruitment, and market research professionals who want to automate LinkedIn workflows. Integration is streamlined, offering a set of tools accessible to popular AI-powered platforms.

23 5 MCP

5

kibitz

The coding agent for professionals with MCP integration.

kibitz is a coding agent that supports advanced AI collaboration by enabling seamless integration with Model Context Protocol (MCP) servers via WebSockets. It allows users to configure Anthropic API keys, system prompts, and custom context providers for each project, enhancing contextual understanding for coding tasks. The platform is designed for developers and professionals seeking tailored AI-driven coding workflows and provides flexible project-specific configuration.

104 14 MCP

6

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

7

Biel.ai MCP Server

Seamlessly connect IDEs to your company’s product documentation using an MCP server.

Biel.ai MCP Server enables AI tools such as Cursor, VS Code, and Claude Desktop to access and utilize a company’s product documentation and knowledge base through the Model Context Protocol. It provides a hosted RAG layer that makes documentation searchable and usable, supporting real-time, context-rich completion and answers for developers. The server can be used as a hosted solution or self-hosted locally or via Docker for advanced customization.

2 2 MCP

8

Cross-LLM MCP Server

Unified MCP server for accessing and combining multiple LLM APIs.

Cross-LLM MCP Server is a Model Context Protocol (MCP) server enabling seamless access to a range of Large Language Model APIs including ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, and Mistral. It provides a unified interface for invoking different LLMs from any MCP-compatible client, allowing users to call and aggregate responses across providers. The server implements eight specialized tools for interacting with these LLMs, each offering configurable options like model selection, temperature, and token limits. Output includes model context details as well as token usage statistics for each response.

9 5 MCP

9

In Memoria

Persistent memory and instant context for AI coding assistants, integrated via MCP.

In Memoria is an MCP server that enables AI coding assistants such as Claude or Copilot to retain, recall, and provide context about codebases across sessions. It learns patterns, architecture, and conventions from user code, offering persistent intelligence that eliminates repetitive explanations and generic suggestions. Through the Model Context Protocol, it allows AI tools to perform semantic search, smart file routing, and track project-specific decisions efficiently.

94 17 MCP

10

Utopia MCP Server

A simulation MCP Server for orchestrating smart home and lifestyle devices via AI Agents.

Utopia MCP Server simulates a wide range of smart home and lifestyle devices, enabling AI agents to interact with and control them through the Model Context Protocol. It provides endpoints for managing devices like lighting, climate control, audio, security, and household robots, allowing for complex, user-centered tasks to be automated without explicit workflow programming. The server is designed to facilitate the testing and experimentation of AI-driven orchestration among multiple simulated endpoints in household environments.

9 4 MCP

11

Context7 MCP

Up-to-date code docs for every AI prompt.

Context7 MCP delivers current, version-specific documentation and code examples directly into large language model prompts. By integrating with model workflows, it ensures responses are accurate and based on the latest source material, reducing outdated and hallucinated code. Users can fetch relevant API documentation and examples by simply adding a directive to their prompts. This allows for more reliable, context-rich answers tailored to real-world programming scenarios.

36,881 1,825 MCP

12

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

13

Transcribe MCP

Automate audio transcription with seamless AI assistant integration.

Transcribe MCP enables fast and high-quality audio transcriptions by integrating directly with AI assistants such as Claude, Windsurf, and Cursor. It supports both local and cloud-based workflows, offering features like word-level timestamps, speaker separation, and multi-language support. Installation is streamlined via pre-built MCP Bundles and secure integration URLs. The system also provides convenient management of balance, transcription content, and collaboration options.

5 3 MCP

14

Inspektor Gadget MCP Server

AI-powered Kubernetes troubleshooting via Model Context Protocol.

Inspektor Gadget MCP Server provides an AI-powered debugging and inspection interface for Kubernetes clusters. Leveraging the Model Context Protocol, it enables intelligent output summarization, one-click deployment of Inspektor Gadget, and automated discovery of debugging tools from Artifact Hub. The server integrates seamlessly with VS Code for interactive AI commands, simplifying Kubernetes troubleshooting and monitoring workflows.

16 1 MCP

15

Raygun MCP Server

Access and interact with Raygun crash reporting data via Model Context Protocol for AI assistants.

Raygun MCP Server provides a remote MCP endpoint that enables AI assistants to securely access, analyze, and manage crash reporting and real user monitoring data from Raygun through natural language conversations. It supports various AI tools and assistants, allowing users to investigate errors, monitor deployments, track user sessions, and gather performance insights seamlessly. Integration is streamlined with step-by-step guides for connecting through multiple popular AI environments.

19 13 MCP

16

wcgw

Local shell and code agent server with deep AI integration for Model Context Protocol clients.

wcgw is an MCP server that empowers conversational AI models, such as Claude, with robust shell command execution and code editing capabilities on the user's local machine. It offers advanced tools for syntax-aware file editing, interactive shell command handling, and context management to optimize AI-driven workflows. Key protections are included to safeguard files, prevent accidental overwrites, and streamline large file handling, ensuring smooth automated code development and execution.

616 55 MCP

17

JADX-AI-MCP

Automated AI-powered APK analysis via Model Context Protocol.

JADX-AI-MCP is a fully automated server and plugin for integrating Model Context Protocol (MCP) with JADX for the purpose of analyzing Android APKs using large language models such as Claude. It streamlines vulnerability discovery, reverse engineering, and static analysis by leveraging LLMs in conjunction with established tools. The project facilitates real-time code review and efficient collaboration between AI and human analysts.

637 72 MCP

18

ScreenPilot

Empower LLMs with full device control through screen automation.

ScreenPilot provides an MCP server interface to enable large language models to interact with and control graphical user interfaces on a device. It offers a comprehensive toolkit for screen capture, mouse control, keyboard input, scrolling, element detection, and action sequencing. The toolkit is suitable for automation, education, and experimentation, allowing AI agents to perform complex operations on a user’s device.

50 8 MCP

19

Beelzebub

AI-driven honeypot framework with advanced threat detection and context protocol support.

Beelzebub is an advanced honeypot framework that utilizes AI and large language models (LLMs) to realistically simulate system interactions, enabling the detection and analysis of sophisticated cyber attacks. The platform supports modular service definitions via YAML, integrates with observability stacks, and supports multiple protocols including MCP, which is used to detect prompt injection against LLM agents. Designed for security researchers and professionals, it enables the creation of distributed honeypot networks for collaborative global threat intelligence.

1,680 155 MCP

20

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

21

GeoServer MCP Server

Connect LLMs to GeoServer for geospatial data management and AI-driven queries.

GeoServer MCP Server implements the Model Context Protocol, enabling seamless integration between Large Language Models (LLMs) and the GeoServer REST API. It allows AI assistants to interact with, query, and manipulate geospatial data and services through standardized interfaces. The server supports management of workspaces, layers, and spatial queries, as well as rendering geospatial visualizations. Installation is supported via Docker, pip, and integration tools like Smithery, with compatibility for clients such as Claude Desktop and Cursor.

43 9 MCP

22

MemoryMesh

A knowledge graph server for structured AI memory and context management.

MemoryMesh is a knowledge graph server designed to help AI models maintain structured, consistent memory, especially for interactive storytelling and RPG contexts. It is based on the Model Context Protocol (MCP), as explicitly stated, and retains core MCP server functionalities. By utilizing dynamic, schema-based configuration, the server enables creation and management of nodes and relationships, offering comprehensive tools for data integrity, feedback, and event tracking. MemoryMesh emphasizes flexibility, supporting both predefined and dynamic schemas for guiding AI interactions.

313 43 MCP

23

melrose-mcp

An MCP server for generating and playing programmable music via Melrōse.

melrose-mcp is a Model Context Protocol (MCP) server that enables users to compose and perform music using the Melrōse programming language. It facilitates communication between AI models and the Melrōse tool, allowing for dynamic manipulation of tempo, playback, and MIDI configuration. The project supports various tools for controlling musical expression and can be integrated into client applications such as Claude Desktop.

7 3 MCP

24

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

25

MCP Unity Editor

A Model Context Protocol implementation for Unity game development.

MCP Unity Editor implements the Model Context Protocol within the Unity Editor environment, enabling standardized management of model context. It provides tools and infrastructure for developers to build and integrate AI and model-driven workflows in Unity projects. Built with support for Unity and Node.js, it aims to facilitate robust context handling and protocol compliance for model interactions.

1,075 131 MCP

26

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

27

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

28

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

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

Claude Debugs For You

Enable LLMs like Claude to interactively debug code via a VS Code extension and MCP server.

Claude Debugs For You provides an MCP-compliant server and Visual Studio Code extension that allow large language models, such as Claude, to perform interactive debugging and code evaluation. It supports language-agnostic debugging through the VS Code debugger and integrates easily with various clients, including Claude Desktop and Continue. The tool provides both stdio and SSE server support for flexible connectivity. Users can quickly install, configure, and leverage LLM-driven debugging workflows across multiple environments.

463 44 MCP

31

mcp-server-atlassian-confluence

Seamlessly connect AI assistants to your Atlassian Confluence knowledge base.

Enables integration of AI assistants like Claude and Cursor AI directly with Atlassian Confluence, allowing users to interact with their documentation and knowledge base using natural language queries. Supports instant answers, search across all spaces, and access to specific Confluence content and discussions. Follows the Model Context Protocol (MCP) for standardized model context management and easy configuration with various AI assistants via STDIO transport or config files.

39 20 MCP

32

MetaTrader MCP Server

Let AI assistants trade for you using natural language.

MetaTrader MCP Server is a bridge that connects AI assistants such as Claude and ChatGPT to the MetaTrader 5 trading platform via the Model Context Protocol (MCP). It enables users to perform trading actions on MetaTrader 5 through natural language instructions. The system supports real-time data access, full account management, and secure local credential handling, offering both MCP and REST API interfaces.

120 34 MCP

33

Code Assistant

AI coding assistant with multi-modal tool execution and MCP integration

Code Assistant is an AI-powered coding assistant written in Rust that provides both command-line and graphical user interfaces for autonomous code analysis and modification. It supports multi-modal tool invocation, real-time streaming, and session-based project management. The tool features full Model Context Protocol (MCP) compatibility, enabling seamless integration with MCP clients, and offers advanced project-level configuration and formatting capabilities.

110 18 MCP

34

GitMCP

Instantly turn any GitHub repository into an AI-ready documentation hub.

GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that gives AI assistants real-time access to the latest documentation and code from any GitHub repository. It transforms any GitHub project into an accessible documentation hub, enabling AI tools to deliver accurate results, reduce hallucinations, and improve code correctness. Supporting both specific and generic server modes, it allows seamless integration into developer workflows with zero setup. GitMCP emphasizes privacy, flexibility, and up-to-date information retrieval.

6,916 571 MCP

35

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

36

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

37

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

38

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

39

LLDB-MCP

AI-assisted debugging with LLDB via Model Context Protocol integration

LLDB-MCP enables integration of the LLDB debugger with Claude's Model Context Protocol, allowing for direct control and interaction with LLDB debugging sessions through AI. The tool offers a suite of commands for managing sessions, examining program state, and controlling execution. It facilitates natural language interaction with LLDB, streamlining tasks such as loading executables, setting breakpoints, and analyzing stack traces. Designed for seamless AI-assisted debugging workflows, LLDB-MCP enhances productivity by bridging advanced debugging capabilities with AI-driven interfaces.

63 7 MCP

40

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

41

@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

42

codelogic-mcp-server

Leverage CodeLogic’s dependency data for AI-powered impact analysis.

Codelogic-mcp-server implements an MCP (Model Context Protocol) server, enabling integration of CodeLogic's software dependency data into AI programming assistants. It provides tools for code and database impact assessments by interacting with a CodeLogic server, enhancing context-aware code and database analysis. The server supports integration with popular IDEs, including VS Code and Claude Desktop, using Astral UV/UVX for communication. This solution is designed to bring actionable dependency insights to AI coding workflows.

31 14 MCP

43

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

44

MCP Rubber Duck

A bridge server for querying multiple OpenAI-compatible LLMs through the Model Context Protocol.

MCP Rubber Duck acts as an MCP (Model Context Protocol) server that enables users to query and manage multiple OpenAI-compatible large language models from a unified API. It supports parallel querying of various providers, context management across sessions, failover between providers, and response caching. This tool is designed for debugging and experimentation by allowing users to receive diverse AI-driven perspectives from different model endpoints.

56 7 MCP

45

Outsource MCP

Unified MCP server for multi-provider AI text and image generation

Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.

26 5 MCP

46

cloudflare/mcp-server-cloudflare

Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

2,919 251 MCP

47

Open Data Model Context Protocol

Easily connect open data providers to LLMs using a Model Context Protocol server and CLI.

Open Data Model Context Protocol enables seamless integration of open public datasets into Large Language Model (LLM) applications, starting with support for Claude. Through a CLI tool and server, users can access and query public data providers within their LLM clients. It also offers tools and templates for contributors to publish and distribute new open datasets, making data discoverable and actionable for LLM queries.

140 21 MCP

48

Kubectl MCP Server

Natural language Kubernetes management for AI assistants using the Model Context Protocol.

Kubectl MCP Server enables AI assistants such as Claude and Cursor to interact with Kubernetes clusters using natural language through the Model Context Protocol (MCP). It supports a wide range of Kubernetes operations including resource management, Helm integration, monitoring, diagnostics, and advanced security features. The server is designed to handle context-aware commands, maintain session memory, and provide intelligent command construction and explanations. Integration with multiple AI assistants and flexible transport protocols are supported for a seamless user experience.

734 137 MCP

49

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

50

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

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