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CONTRIBUTING.md

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2. Clone your fork:
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```bash
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git clone https://github.com/YOUR-USERNAME/specification.git
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cd specification
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git clone https://github.com/YOUR-USERNAME/modelcontextprotocol.git
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cd modelcontextprotocol
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```
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3. Install dependencies:

docs/clients.mdx

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| Client | [Resources] | [Prompts] | [Tools] | [Sampling] | Roots | Notes |
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|---------------------------------------------|-------------|-----------|---------|------------|--------|-----------------------------------------------------------------------------|
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| [5ire][5ire] |||||| Supports tools. |
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| [AgentAI][AgentAI] |||||| Agent Library written in Rust with tools support |
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| [AgenticFlow][AgenticFlow] |||||| Supports tools, prompts, and resources for no-code AI agents and multi-agent workflows. |
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| [Amazon Q CLI][Amazon Q CLI] |||||| Supports prompts and tools. |
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| [Apify MCP Tester][Apify MCP Tester] |||||| Supports tools |
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| [BeeAI Framework][BeeAI Framework] |||||| Supports tools in agentic workflows. |
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| [BoltAI][BoltAI] |||||| Supports tools. |
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| [Claude.ai][Claude.ai] |||||| Supports tools, prompts, and resources for remote MCP servers. |
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| [Claude Code][Claude Code] |||||| Supports prompts and tools |
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| [Claude Desktop App][Claude Desktop] |||||| Supports tools, prompts, and resources. |
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| [Claude Desktop App][Claude Desktop] |||||| Supports tools, prompts, and resources for local and remote MCP servers. |
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| [Cline][Cline] |||||| Supports tools and resources. |
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| [Continue][Continue] |||||| Supports tools, prompts, and resources. |
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| [Copilot-MCP][CopilotMCP] |||||| Supports tools and resources. |
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| [LibreChat][LibreChat] |||||| Supports tools for Agents |
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| [Lutra][Lutra] |||||| Supports any MCP server for reusable playbook creation. |
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| [mcp-agent][mcp-agent] |||| ⚠️ || Supports tools, server connection management, and agent workflows. |
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| [mcp-use][mcp-use] |||||| Support tools, resources, stdio & http connection, local llms-agents. |
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| [MCPHub][MCPHub] |||||| Supports tools, resources, and prompts in Neovim |
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| [MCPOmni-Connect][MCPOmni-Connect] |||||| Supports tools with agentic mode, ReAct, and orchestrator capabilities. |
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| [Microsoft Copilot Studio] |||||| Supports tools |
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| [MindPal][MindPal] |||||| Supports tools for no-code AI agents and multi-agent workflows. |
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| [Msty Studio][Msty Studio] |||||| Supports tools |
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| [OpenSumi][OpenSumi] |||||| Supports tools in OpenSumi |
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| [oterm][oterm] |||||| Supports tools, prompts and sampling for Ollama. |
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| [Postman][postman] |||||| Supports tools, resources, prompts, and sampling |
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| [Zed][Zed] |||||| Prompts appear as slash commands |
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[5ire]: https://github.com/nanbingxyz/5ire
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[AgentAI]: https://github.com/AdamStrojek/rust-agentai
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[AgenticFlow]: https://agenticflow.ai/mcp
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[Amazon Q CLI]: https://github.com/aws/amazon-q-developer-cli
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[Apify MCP Tester]: https://apify.com/jiri.spilka/tester-mcp-client
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[BeeAI Framework]: https://i-am-bee.github.io/beeai-framework
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[BoltAI]: https://boltai.com
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[Claude.ai]: https://claude.ai
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[Claude Code]: https://claude.ai/code
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[Claude Desktop]: https://claude.ai/download
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[Cline]: https://github.com/cline/cline
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[LibreChat]: https://github.com/danny-avila/LibreChat
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[Lutra]: https://lutra.ai
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[mcp-agent]: https://github.com/lastmile-ai/mcp-agent
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[mcp-use]: https://github.com/pietrozullo/mcp-use
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[MCPHub]: https://github.com/ravitemer/mcphub.nvim
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[MCPOmni-Connect]: https://github.com/Abiorh001/mcp_omni_connect
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[Microsoft Copilot Studio]: https://learn.microsoft.com/en-us/microsoft-copilot-studio/agent-extend-action-mcp
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[MindPal]: https://mindpal.io
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[Msty Studio]: https://msty.ai
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[OpenSumi]: https://github.com/opensumi/core
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[oterm]: https://github.com/ggozad/oterm
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[Postman]: https://postman.com/downloads
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- It is open-source and user-friendly, suitable for beginners.
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- Future support for MCP will be continuously improved.
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### AgentAI
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[AgentAI](https://github.com/AdamStrojek/rust-agentai) is a Rust library designed to simplify the creation of AI agents. The library includes seamless integration with MCP Servers.
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[Example of MCP Server integration](https://github.com/AdamStrojek/rust-agentai/blob/master/examples/tools_mcp.rs)
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**Key features:**
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- Multi-LLM – We support most LLM APIs (OpenAI, Anthropic, Gemini, Ollama, and all OpenAI API Compatible).
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- Built-in support for MCP Servers.
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- Create agentic flows in a type- and memory-safe language like Rust.
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### AgenticFlow
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[AgenticFlow](https://agenticflow.ai/) is a no-code AI platform that helps you build agents that handle sales, marketing, and creative tasks around the clock. Connect 2,500+ APIs and 10,000+ tools securely via MCP.
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**Key features:**
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- No-code AI agent creation and workflow building.
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- Access a vast library of 10,000+ tools and 2,500+ APIs through MCP.
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- Simple 3-step process to connect MCP servers.
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- Securely manage connections and revoke access anytime.
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**Learn more:**
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- [AgenticFlow MCP Integration](https://agenticflow.ai/mcp)
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### Amazon Q CLI
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[Amazon Q CLI](https://github.com/aws/amazon-q-developer-cli) is an open-source, agentic coding assistant for terminals.
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- Implements every pattern defined in [Building Effective Agents](https://www.anthropic.com/research/building-effective-agents).
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- Supports workflow pause/resume signals, such as waiting for human feedback.
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### mcp-use
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[mcp-use] is an open source python library to very easily connect any LLM to any MCP server both locally and remotely.
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**Key features:**
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- Very simple interface to connect any LLM to any MCP.
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- Support the creation of custom agents, workflows.
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- Supports connection to multiple MCP servers simultaneously.
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- Supports all langchain supported models, also locally.
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- Offers efficient tool orchestration and search functionalities.
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### MCPHub
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[MCPHub] is a powerful Neovim plugin that integrates MCP (Model Context Protocol) servers into your workflow.
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**Learn more:**
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- [MindPal MCP Documentation](https://docs.mindpal.io/agent/mcp)
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### Msty Studio
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[Msty Studio](https://msty.ai) is a privacy-first AI productivity platform that seamlessly integrates local and online language models (LLMs) into customizable workflows. Designed for both technical and non-technical users, Msty Studio offers a suite of tools to enhance AI interactions, automate tasks, and maintain full control over data and model behavior.
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**Key features:**
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- **Toolbox & Toolsets**: Connect AI models to local tools and scripts using MCP-compliant configurations. Group tools into Toolsets to enable dynamic, multi-step workflows within conversations.
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- **Turnstiles**: Create automated, multi-step AI interactions, allowing for complex data processing and decision-making flows.
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- **Real-Time Data Integration**: Enhance AI responses with up-to-date information by integrating real-time web search capabilities.
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- **Split Chats & Branching**: Engage in parallel conversations with multiple models simultaneously, enabling comparative analysis and diverse perspectives.
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**Learn more:**
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- [Msty Studio Documentation](https://docs.msty.studio/features/toolbox/tools)
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### OpenSumi
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[OpenSumi](https://github.com/opensumi/core) is a framework helps you quickly build AI Native IDE products.
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