Supports connecting to and querying MySQL databases to unify, clean, and serve data to AI agents via natural language or SQL.

Enables connection to PostgreSQL databases for natural language querying, schema introspection, and automated data cleaning to build AI-ready context packages.

# 1. Register (free — 25 credits, no credit card)
curl -X POST https://datamind-api.kelnix.org/register \
 -H "Content-Type: application/json" \
 -d '{"agent_name": "My Agent"}'

# 2. Connect a data source (mock CRM for demo)
curl -X POST https://datamind-api.kelnix.org/sources/connect \
 -H "X-API-Key: dm_YOUR_KEY" \
 -H "Content-Type: application/json" \
 -d '{"source_type": "mock_crm", "name": "Demo CRM"}'

# 3. Query with natural language
curl -X POST https://datamind-api.kelnix.org/data/query \
 -H "X-API-Key: dm_YOUR_KEY" \
 -H "Content-Type: application/json" \
 -d '{"source_id": "YOUR_SOURCE_ID", "query": "top 5 companies by revenue"}'

{
 "mcpServers": {
 "kelnix-datamind-curator": {
 "url": "https://datamind-api.kelnix.org/stream/mcp/",
 "headers": {
 "X-API-Key": "dm_YOUR_API_KEY"
 }
 }
 }
}

npx -y @smithery/cli@latest install @kelnix/kelnix-datamind-curator --client claude

git clone https://github.com/kelnixsolutions/Kelnix-DataMind-Curator.git
cd Kelnix-DataMind-Curator
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env # edit with your keys
uvicorn app:app --host 0.0.0.0 --port 8001

┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ MCP Clients │ │ REST API │ │ Registries │
│ Claude/Cursor│────▶│ FastAPI │◀────│ Smithery/etc │
└──────────────┘ └──────┬───────┘ └──────────────┘
 │
 ┌──────────┼──────────┐
 │ │ │
 ┌──────▼──┐ ┌────▼────┐ ┌───▼──────┐
 │Connectors│ │Pipeline │ │ Context │
 │ PG/CRM │ │Clean/PII│ │Build/NLQ │
 └─────────┘ └─────────┘ └──────────┘
 │ │ │
 ┌──────▼──┐ ┌────▼────┐ ┌───▼──────┐
 │ SQLite │ │ Redis │ │ ChromaDB │
 │ Billing │ │ Cache │ │ Vectors │
 └─────────┘ └─────────┘ └──────────┘