Dify AI
This MCP server implementation provides a bridge to Dify AI's chat completion capabilities, enabling AI assistants to interact with Dify's API through a standardized protocol. Developed by yuru-sha, it offers tools for restaurant recommendations and supports conversation context and streaming responses. Built with TypeScript and integrating the Model Context Protocol SDK, the server focuses on secure API key management and easy setup within the Claude Desktop environment. It is particularly useful for applications requiring natural language interactions, such as chatbots or AI-driven customer service systems, leveraging Dify AI's language model capabilities for enhanced conversational experiences.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- api-integration
- Source
- PulseMCP
- Repository
- github.com/yuru-sha/mcp-server-dify
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Dify AI from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.