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docs/clients.mdx

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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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| [NVIDIA Agent Intelligence toolkit][AIQ toolkit] ||||||| Supports tools in agentic workflows. |
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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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| [Tome][Tome] ||||||| Supports tools, manages MCP servers. |
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| [TypingMind App][TypingMind App] ||||||| Supports tools at app-level (appear as plugins) or when assigned to Agents |
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| [VS Code GitHub Copilot][VS Code] ||||||| Supports dynamic tool/roots discovery, secure secret configuration, and explicit tool prompting |
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| [WhatsMPC][WhatsMPC] ||||||| Supports tools for Remote MCP Servers in WhatsApp |
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| [Windsurf Editor][Windsurf] ||||||| Supports tools with AI Flow for collaborative development. |
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| [Witsy][Witsy] ||||||| Supports tools in Witsy. |
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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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[AIQ toolkit]: https://github.com/NVIDIA/AIQToolkit
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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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[VS Code]: https://code.visualstudio.com/
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[Windsurf]: https://codeium.com/windsurf
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[gptme]: https://github.com/gptme/gptme
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[WhatsMPC]: https://wassist.app/mcp/
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[Witsy]: https://github.com/nbonamy/witsy
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[Zed]: https://zed.dev
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[Resources]: https://modelcontextprotocol.io/docs/concepts/resources
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[HyperAgent]: https://github.com/hyperbrowserai/HyperAgent
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[Discovery]: /docs/concepts/tools#tool-discovery-and-updates
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</div>
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## Client details
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**Learn more:**
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- [Msty Studio Documentation](https://docs.msty.studio/features/toolbox/tools)
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### NVIDIA Agent Intelligence (AIQ) toolkit
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[NVIDIA Agent Intelligence (AIQ) toolkit](https://github.com/NVIDIA/AIQToolkit) is a flexible, lightweight, and unifying library that allows you to easily connect existing enterprise agents to data sources and tools across any framework.
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**Key features:**
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- Acts as an MCP **client** to consume remote tools
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- Acts as an MCP **server** to expose tools
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- Framework agnostic and compatible with LangChain, CrewAI, Semantic Kernel, and custom agents
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- Includes built-in observability and evaluation tools
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**Learn more:**
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- [AIQ toolkit GitHub repository](https://github.com/NVIDIA/AIQToolkit)
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- [AIQ toolkit MCP documentation](https://docs.nvidia.com/aiqtoolkit/latest/workflows/mcp/index.html)
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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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- Tool calls with editable inputs and always-allow toggle
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- Integration with existing VS Code extension system to register MCP servers from extensions
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### WhatsMPC
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[WhatsMPC](https://wassist.app/mcp/) is an MCP client for WhatsApp. WhatsMCP lets you interact with your AI stack from the comfort of a WhatsApp chat.
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**Key features:**
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- Supports MCP tools
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- SSE transport, full OAuth2 support
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- Chat flow management for WhatsApp messages
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- One click setup for connecting to your MCP servers
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- In chat management of MCP servers
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- Oauth flow natively supported in WhatsApp
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### Windsurf Editor
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[Windsurf Editor](https://codeium.com/windsurf) is an agentic IDE that combines AI assistance with developer workflows. It features an innovative AI Flow system that enables both collaborative and independent AI interactions while maintaining developer control.
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- Easy-install from Smithery.ai
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- Open-source, available for macOS, Windows and Linux
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### Zed
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[Zed](https://zed.dev/docs/assistant/model-context-protocol) is a high-performance code editor with built-in MCP support, focusing on prompt templates and tool integration.
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docs/specification/draft/changelog.mdx

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(PR [#416](https://github.com/modelcontextprotocol/specification/pull/416))
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2. Added support for [structured tool output](https://modelcontextprotocol.io/specification/draft/server/tools#structured-content)
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(PR [#371](https://github.com/modelcontextprotocol/modelcontextprotocol/pull/371))
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3. Added support for **[elicitation](/specification/draft/client/elicitation)**, enabling
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3. Classified MCP servers as [OAuth Resource Servers](https://modelcontextprotocol.io/specification/draft/basic/authorization#2-3-authorization-server-discovery), adding protected resource metadata to discover the corresponding Authorization server. (PR [#338](https://github.com/modelcontextprotocol/modelcontextprotocol/pull/338))
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4. Clarified [security considerations](https://modelcontextprotocol.io/specification/draft/basic/authorization#3-security-considerations) and best practices in the authorization spec and in a new [security best practices page](https://modelcontextprotocol.io/specification/draft/basic/security_best_practices).
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5. Added support for **[elicitation](/specification/draft/client/elicitation)**, enabling
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servers to request additional information from users during interactions. (PR [#382](https://github.com/modelcontextprotocol/modelcontextprotocol/pull/382))
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## Other schema changes

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