Hippycampus
H

Hippycampus

Hippycampus is a CLI and MCP server based on LangChain that supports dynamic loading of OpenAPI specifications and integration with Langflow, providing visualization workflow creation capabilities.
2.5 points
8.6K

What is the Hippycampus MCP Server?

The Hippycampus MCP server is a protocol server for model interaction that allows users to communicate with AI models in real - time via streaming. It supports dynamic loading of external API specifications and can be seamlessly integrated with the visualization tool Langflow.

How to Use the Hippycampus MCP Server?

To start using the Hippycampus MCP server, you need to install the necessary dependencies and start the server. Then, you can use it with Langflow to create custom workflows.

Applicable Scenarios

Suitable for applications that require real - time responses, such as chatbots, data analysis tools, and any scenario that needs to efficiently handle a large number of requests.

Main Features

Support for Streaming
Achieve efficient streaming data transfer through SSE (Server - Sent Events).
Dynamic Loading of OpenAPI Specifications
Capable of automatically loading external API documents, simplifying the API integration process.
Integration with Langflow
Provides a powerful visual editor for building complex business logic.
Advantages
High real - time performance, suitable for high - concurrency environments.
Easy to expand, supporting multiple types of API integrations.
Provides an intuitive user interface, reducing the development threshold.
Limitations
Has certain requirements for the network environment, which may affect performance.
The initial setup may be slightly complex and requires a certain technical foundation.

How to Use

Install Dependencies
Ensure that Python 3.12.9 and the UV package manager are installed.
Start the MCP Server
Run the command to start the Hippycampus MCP server.
Configure Langflow
Set the LANGFLOW_COMPONENTS_PATH environment variable and start Langflow.

Usage Examples

Case Title
Use the Hippycampus MCP server in Langflow to create a simple chatbot.
Case Title
Load an external API through the OpenAPI specification and call it in Langflow.

Frequently Asked Questions

How to obtain a Google AI Studio API key?
What if the Langflow components are not displayed?

Related Resources

Official Documentation
Detailed API documentation and tutorials.
GitHub Repository
Source code and contribution guidelines.
YouTube Demo Video
Quickly understand how the Hippycampus MCP server works.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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