Dify Dataset Retriever
Dify Retriever MCP is a Go-based server implementation that integrates with Dify's dataset retrieval capabilities through the Model Context Protocol. This server exposes Dify's retrieval functionality as a tool that can be discovered and executed by AI assistants, allowing them to query and retrieve information from Dify datasets. Built using the mark3labs MCP-Go framework, it supports both resource and prompt capabilities, making it suitable for applications that need to incorporate knowledge base retrieval into AI-powered workflows without directly managing the Dify API integration details.
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
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/wangle201210/dify-retriever-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Dify Dataset Retriever 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.