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e37ab48921
* 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 <[email protected]> Co-authored-by: Junyan Qin <[email protected]>
38 lines
1.4 KiB
Markdown
38 lines
1.4 KiB
Markdown
# 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" />
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