Overview
What is Tiangong AI MCP?
Tiangong AI Model Context Protocol (MCP) is a server that supports both STDIO and SSE protocols for AI model interaction.
How to use Tiangong AI MCP?
To use Tiangong AI MCP, you can start the server using npm commands or Docker. For STDIO, install the server globally and run it with npx. For SSE, you can set up a remote server using supergateway.
Key features of Tiangong AI MCP?
- Supports multiple protocols (STDIO and SSE) for flexible integration.
- Easy setup with npm and Docker.
- Local testing capabilities with MCP Inspector.
Use cases of Tiangong AI MCP?
- Integrating AI models into applications using standard input/output.
- Real-time data streaming with Server-Sent Events (SSE).
- Local development and testing of AI model interactions.
FAQ from Tiangong AI MCP?
- What protocols does Tiangong AI MCP support?
It supports both STDIO and SSE protocols for different use cases.
- Is there a Docker option for deployment?
Yes, you can build and run the MCP server using Docker.
- How can I test the server locally?
You can use the MCP Inspector to start the STDIO server for local testing.