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Available as a package on npm, allowing installation via the npm package manager.
Implemented using TypeScript, providing type safety for the server implementation.
mcp-server-dify
Model Context Protocol Server for Dify AI. This server enables LLMs to interact with Dify AI's chat completion capabilities through a standardized protocol.
Features
- Integration with Dify AI chat completion API
- Restaurant recommendation tool (meshi-doko)
- Support for conversation context
- Streaming response support
- TypeScript implementation
Installation
Using Docker
Usage
With Claude Desktop
Add the following configuration to your claude_desktop_config.json
:
Replace your-dify-api-endpoint
and your-dify-api-key
with your actual Dify API credentials.
Tools
meshi-doko
Restaurant recommendation tool that interfaces with Dify AI:
Parameters:
LOCATION
(string): Location of the restaurantBUDGET
(string): Budget constraintsquery
(string): Query to send to Dify AIconversation_id
(string, optional): For maintaining chat context
Development
License
This project is released under the MIT License.
Security
This server interacts with Dify AI using your provided API key. Ensure to:
- Keep your API credentials secure
- Use HTTPS for the API endpoint
- Never commit API keys to version control
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables LLMs to interact with Dify AI's chat completion API, including conversation context support and a restaurant recommendation tool.
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