MCP server/ai-tools

Kelnix DataMind Curator MCP Server

AI-Ready Data & Context Engineering API

kelnixsolutions/Kelnix-DataMind-Curator ↗by kelnixsolutionsupdated
1

Add it to Claude Code

claude mcp add --transport http -H "X-API-Key: dm_YOUR_API_KEY" kelnix-datamind-curator https://datamind-api.kelnix.org/stream/mcp/
Required:X-API-Key
2

Make your agent remember this setup

kelnix-datamind-curator's config, env vars, and the gotchas you hit — recalled in every future Claude Code, Cursor, and Codex session.

npx conare@latest

Free · one command · indexes the sessions already on disk. Set up in the browser instead →

What it does

  • Connects to various data sources including PostgreSQL and CRM systems
  • Natural language querying for structured data
  • Automated PII detection and redaction
  • Data cleaning and standardization pipelines
  • Context building for RAG-based AI applications

Tools 12

sources.connectConnect a data source (PostgreSQL, MySQL, CRM, API)
sources.listList connected data sources
sources.testTest source connectivity
data.queryQuery data with natural language or SQL
data.fetchFetch raw rows with filters & pagination
data.searchSemantic vector search across indexed data
pipeline.cleanStandardize dates, phones, emails, currencies
pipeline.deduplicateRemove duplicate records
pipeline.redact_piiAuto-detect and redact PII
context.buildBuild AI-ready context for RAG pipelines
context.summarizeAI-powered dataset summary with insights
credits.check_balanceCheck credits and plan

Environment Variables

X-API-KeyrequiredAPI key for authenticating with the DataMind API

Try it

Connect my PostgreSQL database to the DataMind Curator.
Query the connected CRM for the top 5 companies by revenue.
Clean the customer contact list by standardizing phone numbers and emails.
Redact all PII from the user feedback dataset.
Build an AI-ready context package for my RAG pipeline using the sales data.
Original README from kelnixsolutions/Kelnix-DataMind-Curator
<h1 align="center">Kelnix DataMind Curator</h1>

<strong>🧠 AI-Ready Data & Context Engineering API</strong> Connect any data source, query with natural language, clean and standardize data, build AI-ready context packages, and protect privacy with automated PII redaction.

📖 API Docs • 💰 Pricing • 🌐 Website

<a href="https://glama.ai/mcp/servers/kelnixsolutions/kelnix-datamind-curator"> </a>

One API to unify, clean, and serve your data to AI agents. ⚡

🚀 Quick Start

# 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"}'

🔌 MCP Integration

Works with Claude Desktop, Cursor, VS Code, and any MCP-compatible client.

Claude Desktop / Cursor

Add to your MCP config:

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

Smithery

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

🛠️ Tools

Tool Description Cost
sources.connect 🔗 Connect a data source (PostgreSQL, MySQL, CRM, API) 1 credit
sources.list 📋 List connected data sources free
sources.test ✅ Test source connectivity free
data.query 💬 Query data with natural language or SQL 2 credits
data.fetch 📥 Fetch raw rows with filters & pagination 1 credit
data.search 🔍 Semantic vector search across indexed data 2 credits
pipeline.clean 🧹 Standardize dates, phones, emails, currencies 2 credits
pipeline.deduplicate 🔄 Remove duplicate records 1 credit
pipeline.redact_pii 🔒 Auto-detect and redact PII 1 credit
context.build 🧠 Build AI-ready context for RAG pipelines 3 credits
context.summarize 📊 AI-powered dataset summary with insights 2 credits
credits.check_balance 💳 Check credits and plan free

📦 Supported Data Sources

  • 🐘 PostgreSQL — Full SQL support with schema introspection
  • 🐬 MySQL — Coming soon
  • 🏢 Mock CRM — Built-in demo with companies, contacts, and deals
  • 📄 CSV — Coming soon
  • 🌐 JSON API — Coming soon

💰 Pricing

Credits Price Per Credit
25 🎁 Free on signup
100 $8 $0.080
500 $30 $0.060
1,000 $50 $0.050
5,000 $200 $0.040
10,000 $400 $0.040

Monthly plans: Basic (200/mo, $15) · Pro (2,000/mo, $99)

💳 Pay with Stripe (cards) or 🪙 300+ cryptocurrencies.

📖 API Docs

Interactive Swagger docs: datamind-api.kelnix.org/docs

🏗️ Self-Hosting

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

🏛️ Architecture

┌──────────────┐     ┌──────────────┐     ┌──────────────┐
│  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  │
          └─────────┘ └─────────┘ └──────────┘

📜 License

MIT — Kelnix Solutions

Frequently Asked Questions

What are the key features of Kelnix DataMind Curator?

Connects to various data sources including PostgreSQL and CRM systems. Natural language querying for structured data. Automated PII detection and redaction. Data cleaning and standardization pipelines. Context building for RAG-based AI applications.

What can I use Kelnix DataMind Curator for?

Preparing raw CRM data for use in customer-facing AI chatbots. Standardizing messy database records before feeding them into an LLM. Ensuring privacy compliance by automatically redacting PII from datasets. Generating natural language summaries of complex database tables for business intelligence.

How do I install Kelnix DataMind Curator?

Install Kelnix DataMind Curator by running: npx -y @smithery/cli@latest install @kelnix/kelnix-datamind-curator --client claude

What MCP clients work with Kelnix DataMind Curator?

Kelnix DataMind Curator works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

Conare · memory for coding agents

Turn this server into reusable context

Keep Kelnix DataMind Curator docs, env vars, and workflow notes in Conare so your agent carries them across sessions.

Set up free$npx conare@latest