Dify
This Dify MCP server, developed as an open-source project, enables integration of Dify workflows with MCP-compatible applications. Built with TypeScript and leveraging the Model Context Protocol SDK, it converts Dify applications into MCP tools, supporting streaming responses and configurable via YAML. The implementation focuses on exposing Dify's AI workflow capabilities through a standardized MCP interface, making it easier to incorporate Dify-powered AI into various applications. It's particularly useful for developers looking to leverage Dify's workflow automation and AI orchestration features within MCP ecosystems, enabling use cases like chatbots, content generation, and data analysis pipelines that can seamlessly interact with other MCP tools and resources.
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
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/faiz-gear/dify-mcp-server-ts
- 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.