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by yuru-sha • NLP & LLM
An MCP server that lets agents use Dify AI's chat completion API (with conversation context and streaming) through the Model Context Protocol.
Send chat completion requests to Dify AI with support for conversation history and context management.
Streaming partial responses from an LLM to provide real-time or low-latency output to users.
A built-in restaurant recommendation tool (meshi-doko) that queries Dify with location, budget, and conversational context.
This TypeScript server connects LLM agents to Dify AI's chat completion API, enabling standardized MCP-based interactions. It provides conversation context handling, streaming responses, and includes a restaurant recommendation tool called meshi-doko. The project is intended for use with agent platforms (example: Claude Desktop) and is distributed with Docker and development tooling for easy setup.
Run a dify chat message tool
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