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Merge pull request modelcontextprotocol#123 from saqadri/main
Add mcp-agent to list of clients
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clients.mdx

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| [Superinterface][Superinterface] |||||| Supports tools |
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| [5ire][5ire] |||||| Supports tools. |
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| [Bee Agent Framework][Bee Agent Framework] |||||| Supports tools in agentic workflows. |
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| [mcp-agent][mcp-agent] |||| ⚠️ || Supports tools, server connection management, and agent workflows. |
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[Claude]: https://claude.ai/download
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[Superinterface]: https://superinterface.ai
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[5ire]: https://github.com/nanbingxyz/5ire
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[Bee Agent Framework]: https://i-am-bee.github.io/bee-agent-framework
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[mcp-agent]: https://github.com/lastmile-ai/mcp-agent
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[Resources]: https://modelcontextprotocol.io/docs/concepts/resources
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[Prompts]: https://modelcontextprotocol.io/docs/concepts/prompts
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**Learn more:**
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- [Example of using MCP tools in agentic workflow](https://i-am-bee.github.io/bee-agent-framework/#/tools?id=using-the-mcptool-class)
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### mcp-agent
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[mcp-agent] is a simple, composable framework to build agents using Model Context Protocol.
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**Key features:**
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- Automatic connection management of MCP servers.
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- Expose tools from multiple servers to an LLM.
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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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## Adding MCP support to your application
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If you've added MCP support to your application, we encourage you to submit a pull request to add it to this list. MCP integration can provide your users with powerful contextual AI capabilities and make your application part of the growing MCP ecosystem.

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