Dify External Knowledge MCP Server
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.
README
Dify External Knowledge MCP Server
一個 Model Context Protocol (MCP) 伺服器,用於整合 Dify 外部知識庫 API,讓 AI Agent 能夠輕鬆查詢知識庫內容。
安裝
使用 npx (推薦)
npx @funtuantw/dify-external-knowledge-mcp
全域安裝
npm install -g @funtuantw/dify-external-knowledge-mcp
從源碼構建
git clone https://github.com/funtuantw/dify-external-knowledge-mcp.git
cd dify-external-knowledge-mcp
npm install
npm run build
功能特性
- 🔍 查詢 Dify 外部知識庫
- 📊 支援相關性分數閾值設定
- 🎯 支援元數據條件篩選
- 🔐 使用環境變數管理 API 憑證
- 📦 支援 npx 直接運行
- 🌐 知識庫 ID 透過環境變數配置,無需每次指定
配置
{
"mcpServers": {
"dify-knowledge": {
"command": "npx",
"args": ["@funtuantw/dify-external-knowledge-mcp"],
"env": {
"DIFY_KNOWLEDGE_ENDPOINT": "https://your-endpoint.com",
"DIFY_API_KEY": "your-api-key-here",
"DIFY_KNOWLEDGE_ID": "your-knowledge-id-here"
}
}
}
}
或者使用本地路徑(開發時):
{
"mcpServers": {
"dify-knowledge": {
"command": "node",
"args": ["/absolute/path/to/dify-external-knowledge-mcp/dist/index.js"],
"env": {
"DIFY_KNOWLEDGE_ENDPOINT": "https://your-endpoint.com",
"DIFY_API_KEY": "your-api-key-here",
"DIFY_KNOWLEDGE_ID": "your-knowledge-id-here"
}
}
}
}
使用命令列參數:
{
"mcpServers": {
"dify-knowledge": {
"command": "npx",
"args": [
"@funtuantw/dify-external-knowledge-mcp",
"--endpoint",
"https://your-endpoint.com",
"--api-key",
"your-api-key-here",
"--knowledge-id",
"your-knowledge-id-here"
]
}
}
}
使用方法
可用工具
query_dify_knowledge
查詢 Dify 外部知識庫以檢索相關資訊。
參數:
query(必需, string): 用戶的搜尋查詢或問題top_k(可選, number): 返回的最大結果數量(預設:5)score_threshold(可選, number): 最小相關性分數閾值,範圍 0-1(預設:0.5)metadata_condition(可選, object): 元數據篩選條件logical_operator(可選, string): "and" 或 "or"(預設:and)conditions(必需, array): 條件列表name(必需, string[]): 要篩選的元數據欄位名稱comparison_operator(必需, string): 比較運算符(contains, is, not contains, etc.)value(可選, string): 比較值
範例使用(通過 AI Agent):
請使用 query_dify_knowledge 工具查詢 "什麼是 Dify?"
範例輸出:
Found 2 result(s) for query: "什麼是 Dify?"
### Result 1 (Score: 0.980)
**Title**: knowledge.txt
**Content**:
Dify 是一個 LLMOps 平台,提供 GenAI 應用程序的創新引擎。
**Metadata**: {
"path": "s3://dify/knowledge.txt",
"description": "dify 知識文檔"
}
---
### Result 2 (Score: 0.660)
**Title**: introduce.txt
**Content**:
GenAI 應用程序的創新引擎
**Metadata**: {
"path": "s3://dify/introduce.txt",
"description": "dify 介紹"
}
---
開發
開發模式運行
npm run dev
構建專案
npm run build
運行構建版本
npm start
API 參考
本專案使用 Dify 外部知識庫 API。
支援的比較運算符
contains: 包含某個值not contains: 不包含某個值start with: 以某個值開頭end with: 以某個值結尾is: 等於某個值is not: 不等於某個值empty: 為空not empty: 不為空=: 等於≠: 不等於>: 大於<: 小於≥: 大於等於≤: 小於等於before: 在某個日期之前after: 在某個日期之後
錯誤處理
伺服器會處理以下錯誤情況:
- 1001: 無效的 Authorization 頭格式
- 1002: 授權失敗
- 2001: 知識庫不存在
- HTTP 403: 訪問被拒絕
- HTTP 500: 內部伺服器錯誤
專案結構
dify-external-knowledge-mcp/
├── src/
│ └── index.ts # MCP 伺服器主程式
├── dist/ # 編譯後的輸出
├── .env.example # 環境變數範例
├── .gitignore
├── package.json
├── tsconfig.json
├── plan.md # 專案計畫文檔
└── README.md
授權
MIT
貢獻
歡迎提交 Issue 和 Pull Request!
相關連結
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.