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Hippycampus MCP Server

@cromwellian

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

cromwellian

关于 Hippycampus MCP Server

An (eventually) secure open-source MCP Server to turn any REST endpoint into MCP resources automatically

#hippycampus#mcp-server#open-source

Hippycampus MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "hippycampus": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Hippycampus MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Hippycampus?

Hippycampus is a LangChain-based CLI and MCP server that supports dynamic loading of OpenAPI specifications and integration with Langflow for visual workflow creation. It is intended for developers who want to combine OpenAPI-driven tools with Langchain agents and Langflow’s graphical interface.

How to use Hippycampus?

Install with uv pip install -e . and set the GOOGLE_API_KEY environment variable. Run in CLI mode with uv run hippycampus-cli or as an MCP server with uv run hippycampus-server --transport sse --port 8000. For Langflow integration, start the MCP server first, then run uv run langflow run and configure the provided custom components.

Key features of Hippycampus

  • Dynamic loading of OpenAPI specifications into LangChain agents
  • CLI mode for debugging without the MCP server
  • MCP server with SSE transport on a configurable port
  • Custom Langflow components: OpenApi Service and Hippycampus MCP Server
  • Supports testing with a fixed XKCD OpenAPI spec

Use cases of Hippycampus

  • Load and test arbitrary OpenAPI specs via a LangChain-powered CLI
  • Build Langflow workflows that call external APIs through an MCP server
  • Debug OpenAPI parsing and agent interactions in a terminal before deploying to Langflow
  • Create visual flows that combine multiple OpenAPI services

常见问题

1

What are the prerequisites for running Hippycampus?

Python 3.12.9, the UV package manager, a Google AI Studio API key, and optionally Langflow for visual workflows.

2

How do I start the MCP server?

Run `uv run hippycampus-server --transport sse --port 8000` from the project root.

3

Why do I see authentication errors?

Ensure the `GOOGLE_API_KEY` environment variable is set correctly.

4

How do I use the custom Langflow components?

In the Langflow UI, locate the OpenApi Service and Hippycampus MCP Server components. Configure the OpenApi Service with a valid OpenAPI URL and the MCP Server with `http://localhost:8000/sse`.

5

What should I do if the custom components are missing in Langflow?

Verify that `LANGFLOW_COMPONENTS_PATH` points to the correct `langflow/components` directory, then restart the Langflow server. If they still don’t appear, try restarting again.

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