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.
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_idvalues - 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.
- Open Cursor Settings → MCP → Edit config
- Add the following to
mcpServersin your MCP config file:- Windows:
%USERPROFILE%\.cursor\mcp.json - macOS / Linux:
~/.cursor/mcp.json
- Windows:
- Replace paths and env values with your own
- 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
- Cursor Settings → MCP → confirm
dify-knowledgeshows as enabled - 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
- Dify Knowledge Base API (official)
- Retrieve chunks
- Local path reference:
Dify-API.md
Security Notes
- Never commit
.envor API keys to version control - A single Knowledge Base API key can access all visible datasets under the account — use
DIFY_ALLOWED_DATASETSto limit exposure - Prefer running MCP locally; keep API keys in
mcp.jsonenv or.envon your machine only
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