Dify
A Dify MCP server implementation that enables AI assistants to interact with the Dify platform through the Model Context Protocol. Built with TypeScript, this server provides a bridge between MCP-compatible clients and Dify's API, allowing AI systems to leverage Dify's capabilities for creating, managing, and deploying AI applications. The implementation handles authentication, request formatting, and response parsing, making it straightforward to integrate Dify's functionality into AI workflows. It's particularly useful for scenarios where AI assistants need to access or manipulate Dify applications programmatically.
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 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/zhuzhoulin/dify-mcp-server
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
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.