Dify
This Dify MCP server, developed for integrating Dify's AI capabilities with the Model Context Protocol, provides a bridge between Dify's API and MCP-compatible clients. Built with TypeScript and leveraging the MCP SDK, it enables AI assistants to interact with Dify's features, including text generation and potentially other AI services. The implementation focuses on efficient API communication, handling streaming responses, and managing authentication. It's particularly useful for developers looking to incorporate Dify's AI capabilities into MCP-based systems, allowing for seamless integration of Dify's functionalities without deep knowledge of its API intricacies.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- security
- Source
- PulseMCP
- Repository
- github.com/ai-fe/dify-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Dify 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.