Official description3 sourcesMCP servers3d ago
cromwellian/hippycampus
REST endpoint to MCP conversion
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- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-10-14 · last seen 2026-10-16 · seen 4× · listed by 3 sources
- Score
- score 303 · 3 sources · mcp
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How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
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We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-10-14；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals
Hippycampus
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
A LangChain-based CLI and MCP server that supports dynamic loading of OpenAPI specifications and integration with Langflow.
Prerequisites
- Python 3.12.9
- UV package manager
- Google AI Studio API key
- Langflow (for visual workflow creation)
Installation
Configuration
Google AI Studio API Key
1. Visit Google AI Studio
2. Click "Create API Key" in the top right
3. Copy the generated key and set it as an environment variable:
Running the Applications
CLI Mode (no MCP server)
MCP Server Mode (SSE)
Langflow Server
Ensure the MCP server is running before starting Langflow.
1. Set the components path environment variable:
2. Start the Langflow server (add --dev for development mode):
3. Open your browser and navigate to http://localhost:7860
Using Custom Components in Langflow
1. In the Langflow UI, locate the custom components:
- OpenApi Service: For loading OpenAPI specifications
- Hippycampus MCP Server: For connecting to the MCP server over SSE
2. Configure the components:
- OpenApi Service: Use https://raw.githubusercontent.com/APIs-guru/unofficial_openapi_specs/master/xkcd.com/1.0.0/openapi.yaml for testing
- MCP Server: Use http://localhost:8000/sse
See the Screencast Demo for a visual guide.
Screencast Demo
**Note that the official XKCD swagger files contain an error and specify the comic_id field as a number instead of an
integer, there is a fixed version in the test folder.**
Troubleshooting
- Authentication errors: Check if GOOGLE_API_KEY is set correctly
- Missing components in Langflow: Verify LANGFLOW_COMPONENTS_PATH points to the correct directory
- Connection issues: Ensure the MCP server is running before connecting via Langflow
- If components don't appear in Langflow, try restarting the Langflow server
- Use the cli to debug openapi_builder/spec_parser and agent interaction issues before running in MCP/Langflow.
License
MIT License
Copyright (c) 2024 Ray Cromwell
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
Prerequisites
- Python 3.12.9
- UV package manager
- Google AI Studio API key
- Langflow (for visual workflow creation)
Installation
Configuration
Google AI Studio API Key
1. Visit Google AI Studio
2. Click "Create API Key" in the top right
3. Copy the generated key and set it as an environment variable:
Running the Applications
CLI Mode (no MCP server)
MCP Server Mode (SSE)
Langflow Server
Ensure the MCP server is running before starting Langflow.
1. Set the components path environment variable:
2. Start the Langflow server (add --dev for development mode):
3. Open your browser and navigate to http://localhost:7860
Using Custom Components in Langflow
1. In the Langflow UI, locate the custom components:
- OpenApi Service: For loading OpenAPI specifications
- Hippycampus MCP Server: For connecting to the MCP server over SSE
2. Configure the components:
- OpenApi Service: Use https://raw.githubusercontent.com/APIs-guru/unofficial_openapi_specs/master/xkcd.com/1.0.0/openapi.yaml for testing
- MCP Server: Use http://localhost:8000/sse
See the Screencast Demo for a visual guide.
Screencast Demo
**Note that the official XKCD swagger files contain an error and specify the comic_id field as a number instead of an
integer, there is a fixed version in the test folder.**
Troubleshooting
- Authentication errors: Check if GOOGLE_API_KEY is set correctly
- Missing components in Langflow: Verify LANGFLOW_COMPONENTS_PATH points to the correct directory
- Connection issues: Ensure the MCP server is running before connecting via Langflow
- If components don't appear in Langflow, try restarting the Langflow server
- Use the cli to debug openapi_builder/spec_parser and agent interaction issues before running in MCP/Langflow.
License
MIT License
Copyright (c) 2024 Ray Cromwell
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
- Source
- awesome · https://github.com/cromwellian/hippycampus
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