# Dify External Knowledge MCP Server

> Use this tool when you need to integrate external knowledge into AI models, enabling them to retrieve and query relevant information to improve their decision-making capabilities. It solves problems related to information retrieval, relevance scoring, and metadata filtering, providing a flexible interface through environment variables or command-line arguments. Ideal for use cases where AI agents require access to external knowledge bases to enhance their performance and accuracy.

Canonical page: https://skillsregistry.net/skills/funtuan-dify-external-knowledge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/funtuan-dify-external-knowledge-mcp

## Description

Integrates Dify's external knowledge base API with the Model Context Protocol to enable AI agents to retrieve and query relevant information. It supports relevance scoring, metadata filtering, and flexible configuration through environment variables or command-line arguments.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aaxixruno2)
- **Repository:** <https://github.com/funtuan/dify-external-knowledge-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "funtuan-dify-external-knowledge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/funtuan-dify-external-knowledge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/funtuan-dify-external-knowledge-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt