Hippycampus MCP Server

@cromwellian

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

cromwellian

Hippycampus MCP Server について

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

#hippycampus#mcp-server #open-source

Hippycampus MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Hippycampus MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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.

How do I start the MCP server?

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

Why do I see authentication errors?

Ensure the `GOOGLE_API_KEY` environment variable is set correctly.

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`.

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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