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Hippycampus

@cromwellian

リポジトリ

Hippycampus 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

基本情報

カテゴリ

その他

ライセンス

MIT license

ランタイム

python

トランスポート

stdio

公開者

cromwellian

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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

FAQ from Hippycampus

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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