dify-knowledge

dify-knowledge

Exposes Dify knowledge base retrieval capabilities via MCP for use in Cursor and other MCP-compatible clients, enabling semantic search and document browsing.

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README

dify-mcp

Expose Dify knowledge base retrieval capabilities via MCP (Model Context Protocol), for use in Cursor and other MCP-compatible clients.

Connect to a self-hosted or remote Dify instance over HTTP, with optional dataset allowlisting for access control.

Features

  • Knowledge base discovery — list and inspect allowed datasets
  • Semantic retrieval — search chunks via Dify POST /datasets/{dataset_id}/retrieve
  • Document browsing — list documents and segments within a dataset
  • Dataset allowlist — restrict access to specific dataset_id values
  • stdio transport — no manual server startup; the MCP client launches the process

Requirements

  • Python 3.11+
  • A running Dify instance with Knowledge Base API enabled
  • Network access from the machine running the MCP server to your Dify API endpoint
  • A Dify Knowledge Base API Key (Dify → Knowledge → Service API → API Key)

Quick Start

1. Clone and install

git clone https://github.com/your-username/dify-mcp.git
cd dify-mcp

python3.11 -m venv .venv

# Windows
.venv\Scripts\python.exe -m pip install -e .

# macOS / Linux
.venv/bin/python -m pip install -e .

Verify import:

# Windows
.venv\Scripts\python.exe -c "import dify_mcp; print('OK')"

# macOS / Linux
.venv/bin/python -c "import dify_mcp; print('OK')"

2. Configure environment

Copy the example env file and edit it:

cp .env.example .env
DIFY_API_BASE=http://your-dify-host/v1
DIFY_API_KEY=dataset-your-api-key
DIFY_ALLOWED_DATASETS=dataset-uuid-1,dataset-uuid-2
DIFY_TIMEOUT=30
DIFY_VERIFY_SSL=false
Variable Description
DIFY_API_BASE Dify Knowledge API base URL, e.g. http://192.168.1.100/v1
DIFY_API_KEY Knowledge Base API key
DIFY_ALLOWED_DATASETS Comma-separated dataset UUIDs to expose (required)
DIFY_TIMEOUT HTTP timeout in seconds (default: 30)
DIFY_VERIFY_SSL Verify TLS certificates (default: false for self-signed certs)

Run the health check:

# Windows
.venv\Scripts\python.exe scripts/health_check.py

# macOS / Linux
.venv/bin/python scripts/health_check.py

3. Add to Cursor

You do not need to start the MCP server manually. Cursor launches it automatically via stdio.

  1. Open Cursor Settings → MCPEdit config
  2. Add the following to mcpServers in your MCP config file:
    • Windows: %USERPROFILE%\.cursor\mcp.json
    • macOS / Linux: ~/.cursor/mcp.json
  3. Replace paths and env values with your own
  4. Restart Cursor

See mcp.json.example for a full example.

Windows example:

{
  "mcpServers": {
    "dify-knowledge": {
      "command": "/absolute/path/to/dify-mcp/.venv/Scripts/python.exe",
      "args": ["-m", "dify_mcp.server"],
      "cwd": "/absolute/path/to/dify-mcp",
      "env": {
        "DIFY_API_BASE": "http://your-dify-host/v1",
        "DIFY_API_KEY": "dataset-your-api-key",
        "DIFY_ALLOWED_DATASETS": "dataset-uuid-1,dataset-uuid-2",
        "DIFY_TIMEOUT": "30",
        "DIFY_VERIFY_SSL": "false"
      }
    }
  }
}

macOS / Linux example:

{
  "mcpServers": {
    "dify-knowledge": {
      "command": "/absolute/path/to/dify-mcp/.venv/bin/python",
      "args": ["-m", "dify_mcp.server"],
      "cwd": "/absolute/path/to/dify-mcp",
      "env": {
        "DIFY_API_BASE": "http://your-dify-host/v1",
        "DIFY_API_KEY": "dataset-your-api-key",
        "DIFY_ALLOWED_DATASETS": "dataset-uuid-1,dataset-uuid-2"
      }
    }
  }
}

4. Verify in Cursor

  1. Cursor Settings → MCP → confirm dify-knowledge shows as enabled
  2. In chat, try:
    • List available Dify knowledge bases
    • Search the knowledge base for "your query"

MCP Tools

Tool Description
list_datasets List knowledge bases within the allowlist
get_dataset Get metadata for one dataset
search_knowledge Retrieve relevant chunks (primary retrieval tool)
list_documents List documents in a dataset
list_document_segments List text segments for a document

Architecture

Cursor (MCP client)
    │ stdio
    ▼
dify-mcp (local process)
    │ HTTPS / HTTP
    ▼
Dify Knowledge API (/v1/datasets/...)

The MCP server runs locally on your machine and calls the Dify API over the network. Dify does not need to reach your machine.

Troubleshooting

Issue Cause Fix
No matching distribution found for mcp Python < 3.11 Use Python 3.11+ in .venv
MCP shows error (red) Wrong Python path, invalid key, or network issue Check mcp.json paths and env vars
401 Unauthorized Invalid API key Regenerate key in Dify Service API panel
Dataset not in allowed list UUID not in DIFY_ALLOWED_DATASETS Add the dataset UUID to the allowlist
Health check missing env vars .env not found Ensure .env exists in the project root
Connection timeout Dify unreachable Check network / VPN / firewall

Project Structure

dify-mcp/
├── src/dify_mcp/
│   ├── server.py        # MCP entry point
│   ├── config.py        # Settings and allowlist
│   ├── dify_client.py   # Dify Knowledge API client
│   └── formatters.py    # Response formatting
├── scripts/
│   └── health_check.py  # Connectivity test
├── mcp.json.example     # Cursor MCP config template
├── .env.example         # Environment variable template
└── Dify-API.md          # Local API path reference

API Reference

Security Notes

  • Never commit .env or API keys to version control
  • A single Knowledge Base API key can access all visible datasets under the account — use DIFY_ALLOWED_DATASETS to limit exposure
  • Prefer running MCP locally; keep API keys in mcp.json env or .env on your machine only

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