About dify-mcp
dify-mcp exposes Dify knowledge-base retrieval to Cursor and other MCP clients. It connects to self-hosted or remote Dify instances and can restrict access with a dataset allowlist.
Key features
- 01Discover and inspect datasets
- 02Retrieve relevant chunks semantically
- 03Browse documents and text segments
- 04Restrict access with a dataset allowlist
- 05Use stdio transport
Use cases
- 01Search a Dify knowledge base from Cursor
- 02Check which datasets are accessible
- 03Inspect documents and segments in a dataset
MCP support
As an MCP server, it provides tools for dataset discovery, semantic retrieval, and browsing documents and segments. It calls the Dify Knowledge API over HTTP and communicates with local clients over stdio.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
uvx dify-mcpDIFY_API_BASEDify Knowledge API base URL, e.g. http://192.168.1.100/v1DIFY_API_KEYSecretDify Knowledge Base API keyDIFY_ALLOWED_DATASETSComma-separated dataset UUIDs to exposeDIFY_TIMEOUTHTTP timeout in seconds (default: 30)DIFY_VERIFY_SSLVerify TLS certificates (default: false)Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEdify-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/salted-butter-joshua/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
Comments
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