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wangchamwangchamRockChinQ
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Feat/mcp (#66)
* feat: add zh mcp docs * fix: error in docs for mcp * Remove MCP Ecosystem integration link from config Removed the 'Integrating Complete MCP Ecosystem in LangBot' link and commented it out for future reference. * perf: add mcp get method * perf: docs --------- Co-authored-by: wangcham <wangcham@gmail.com> Co-authored-by: Junyan Qin <rockchinq@gmail.com>
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‎docs/.vitepress/config.mts‎

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@@ -153,6 +153,10 @@ export default defineConfig({
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text: "使用知识库",
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link: "/zh/deploy/knowledge/readme",
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},
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{
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text: "使用 MCP 服务",
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link: "zh/deploy/mcp/readme"
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},
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{
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text: "系统环境设置",
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link: "/zh/deploy/settings",
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text: "如何实现一个消息平台适配器？",
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link: "/zh/workshop/impl-platform-adapter",
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},
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{
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text: "在 LangBot 接入完整 MCP 生态",
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link: "/zh/workshop/mcp-details"
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},
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{
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text: "容器网络配置详解",
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link: "/zh/workshop/network-details",
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text: "Using Knowledge Base",
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link: "/en/deploy/knowledge/readme",
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},
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{
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text: "Using MCP Services",
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link: "/en/deploy/mcp/readme",
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},
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{
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text: "System Settings",
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link: "/en/deploy/settings",
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text: "How to Implement a Message Platform Adapter?",
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link: "/en/workshop/impl-platform-adapter",
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},
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// {
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// text: "Integrating Complete MCP Ecosystem in LangBot",
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// link: "/en/workshop/mcp-details"
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// },
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{
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text: "Integrating Complete MCP Ecosystem in LangBot",
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link: "/en/workshop/mcp-details"
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},
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{
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text: "Container Network Configuration Details",
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link: "/en/workshop/network-details",
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text: "Container Network Configuration Details",
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link: "/en/workshop/network-details",
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},
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{
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text: "Using New API to Transmit Models from Multiple Channels",

‎docs/assets/image/zh/deploy/mcp/mcp02.png‎

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‎docs/assets/image/zh/deploy/mcp/mcp03.png‎

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‎docs/assets/image/zh/deploy/mcp/mcp04.png‎

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‎docs/assets/image/zh/deploy/mcp/mcp05.png‎

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‎docs/assets/image/zh/deploy/mcp/mcp_01.png‎

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‎docs/en/deploy/mcp/readme.md‎

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# Using MCP Servers
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LangBot supports SSE mode MCP servers. You can add MCP servers to leverage the tool calling capabilities in large language models for better handling of LLM requests.
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:::info
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MCP service only supports SSE mode.
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- MCP servers recommended acquisition channel: [Composio MCP](https://mcp.composio.dev/)
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:::
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## Enable Function Calling for Models
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As shown in the image, enable the `Function Calling` feature for the model.
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<img width="400px" src="/assets/image/zh/deploy/mcp/mcp_01.png" alt="enable function call" />
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## Create MCP Server
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Click `Plugin Management`, then `MCP Management`, as shown:
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<img width="1000px" src="/assets/image/zh/deploy/mcp/mcp02.png" alt="server page" />
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Click `Add` in the top right corner, then `Create MCP Server`,
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<img width="400px" src="/assets/image/zh/deploy/mcp/mcp03.png" alt="create new mcp server" />
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For example, to use the Fetch HTML server, fill in the corresponding URL, click `Test` to test the MCP server, and click `Submit` to add the server.
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After adding, click the switch on the card to connect to the MCP server. Click the card to view the MCP server details:
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<img width="400px" src="/assets/image/zh/deploy/mcp/mcp05.png" alt="detailed server" />
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## Effect
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You need to select `Local Agent` as the runner in the pipeline settings and use a model that supports function calling.
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<img width="1000px" src="/assets/image/zh/deploy/mcp/mcp04.png" alt="dialog with mcp" />

‎docs/en/deploy/settings.md‎

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# Single session concurrency
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session: 1
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# MCP configuration
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# Should be configurable in WebUI in the future
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mcp:
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# MCP server list
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# Currently supports two protocol MCP servers:
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# - SSE
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# - Stdio (Python)
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#
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# Format:
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# SSE mode:
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# name Server name, self-defined
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# enable Whether to enable this Server
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# mode Fixed as sse
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# url MCP SSE Server access URL
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# headers Connection headers, optional
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# timeout Connection timeout
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#
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# stdio mode:
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# name Server name, self-defined
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# enable Whether to enable this Server
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# mode Fixed as stdio
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# command Execution command
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# args Command parameters
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# env Command environment variables, optional
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#
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# For example:
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# servers:
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# - name: 'SSE Server'
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# enable: true
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# mode: sse
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# url: 'http://127.0.0.1:8000/sse'
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# headers: {}
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# timeout: 10
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# - name: 'stdio Server'
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# enable: true
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# mode: stdio
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# command: 'python'
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# args: ['-m', 'weather']
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# env: {}
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servers: []
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# Proxy configuration
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proxy:
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# HTTP proxy address

‎docs/en/workshop/mcp-details.md‎

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## Configuring MCP Server
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Please refer to the [System Settings Documentation](/zh/deploy/settings.html)
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Please refer to the [System Settings Documentation](/en/deploy/settings.html)
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After configuration, you can use the `!func` command in chat to view registered MCP tools. When chatting with models that support Function Calling, LangBot will automatically call MCP tools.

‎docs/zh/deploy/mcp/readme.md‎

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# 使用MCP服务器
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LangBot 支持 SSE 模式 MCP 服务器，您可以添加 MCP 服务器，使用大语言模型中的工具调用特性，更好的处理 LLM 请求。
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:::info
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- MCP 服务仅支持 SSE 模式。
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- MCP 服务器推荐获取渠道：[ModelScope](https://modelscope.cn/mcp)
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:::
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## 打开模型的函数调用功能
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如图，将模型的`函数调用`功能打开。
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<img width="400px" src="/assets/image/zh/deploy/mcp/mcp_01.png" alt="enable function call" />
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## 创建MCP服务器
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点击`插件管理` -> `MCP管理`，如图所示：
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<img width="1000px" src="/assets/image/zh/deploy/mcp/mcp02.png" alt="server page" />
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点击右上角的`添加`，选择`添加 MCP 服务器`，
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<img width="400px" src="/assets/image/zh/deploy/mcp/mcp03.png" alt="create new mcp server" />
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比如使用 Fetch HTML 服务器，填写对应的 URL，点击`测试`用来测试 MCP 服务器，点`提交`添加此服务器。
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添加完成之后，点击卡片上的开关以连接 MCP 服务器，点击卡片可以看到 MCP 服务器的详情：
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<img width="400px" src="/assets/image/zh/deploy/mcp/mcp05.png" alt="detailed server" />
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## 效果
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需要在流水线设置中选用 `内置 Agent` 作为运行器，并使用支持函数调用的模型。
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<img width="1000px" src="/assets/image/zh/deploy/mcp/mcp04.png" alt="dialog with mcp" />
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