Hippycampus
by cromwellian
Hippycampus is a LangChain-based CLI and MCP server designed for dynamic loading of OpenAPI specifications and seamless integration with Langflow for visual workflow creation.
Last updated: N/A
What is Hippycampus?
Hippycampus is a tool that allows you to dynamically load OpenAPI specifications and integrate them with Langflow using a CLI or MCP server. It simplifies the process of working with APIs in LangChain projects.
How to use Hippycampus?
To use Hippycampus, first install the necessary prerequisites (Python, UV, Google AI Studio API key, Langflow). Then, install Hippycampus and its dependencies using UV. Configure the Google AI Studio API key as an environment variable. You can then run Hippycampus in CLI mode or MCP server mode. For Langflow integration, ensure the MCP server is running and configure the components path before starting Langflow.
Key features of Hippycampus
Dynamic OpenAPI specification loading
LangChain integration
Langflow integration
CLI mode
MCP server mode (SSE)
Custom component support in Langflow
Use cases of Hippycampus
Building AI agents that interact with APIs
Creating visual workflows for API interactions in Langflow
Testing and debugging OpenAPI specifications
Integrating multiple APIs into a single LangChain application
FAQ from Hippycampus
How do I resolve authentication errors?
How do I resolve authentication errors?
Ensure that the GOOGLE_API_KEY environment variable is set correctly with a valid API key.
Why are components missing in Langflow?
Why are components missing in Langflow?
Verify that the LANGFLOW_COMPONENTS_PATH environment variable points to the correct directory containing the custom components.
What should I do if I encounter connection issues?
What should I do if I encounter connection issues?
Ensure that the MCP server is running before attempting to connect via Langflow. Check the server logs for any errors.
Components don't appear in Langflow, what should I do?
Components don't appear in Langflow, what should I do?
Try restarting the Langflow server. This can help refresh the component list.
How can I debug issues with OpenAPI specifications?
How can I debug issues with OpenAPI specifications?
Use the CLI mode to debug openapi_builder/spec_parser and agent interaction issues before running in MCP/Langflow. This allows for easier troubleshooting.