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Introducing MXCP: How to Transform Any Data Source Into AI-Ready Endpoints in Minutes

· 4 min read
Miguel Branco
Miguel Branco
Founder & CEO, RAW Labs

We are thrilled to announce the official launch of MXCP - the first enterprise-grade MCP server built specifically for production environments. MXCP transforms any data source into AI-ready endpoints in under 60 seconds, complete with enterprise security, audit logging, and dbt integration.

What is MXCP and Why Should You Care?​

MXCP is an enterprise-grade Model Context Protocol (MCP) server that solves the biggest challenge in AI data integration: getting your data securely and efficiently into AI systems like Claude Desktop. Unlike simple data connectors, MXCP provides:

  • 60-second setup from installation to Claude Desktop integration
  • Enterprise security with policy enforcement and audit trails
  • dbt integration that caches data transformations locally for lightning-fast AI queries
  • Production-ready with type safety, governance, and compliance tracking

How MXCP Works: The Complete Data-to-AI Pipeline​

1. Data Transformation (dbt)​

Your dbt models fetch, transform, and cache data in DuckDB tables:

-- models/sales_data.sql
SELECT customer_id, SUM(amount) as total_sales
FROM raw_transactions 
WHERE date >= '2024-01-01'
GROUP BY customer_id

2. MCP Endpoints​

MXCP creates AI-ready endpoints that query your transformed data:

# endpoints/sales-analysis.yml
tool:
  name: analyze_sales
  description: "Analyze customer sales data"
  source:
    code: "SELECT * FROM sales_data WHERE customer_id = $customer_id"

3. AI Integration​

Claude Desktop (or any MCP client) can now query your data instantly with full context and enterprise security.

Key Features That Set MXCP Apart​

🚀 60-Second Setup​

pip install mxcp && mxcp init --bootstrap && mxcp serve

That's it. You're now serving data to AI systems.

🔒 Enterprise Security​

  • OAuth authentication with GitHub, Atlassian, and custom providers
  • Policy enforcement with field-level access control
  • Complete audit trails for every query and response
  • Data masking and PII protection

⚡ dbt Native Integration​

The killer feature: dbt models create cached tables, MCP endpoints query them directly. No API calls, no latency, no complexity.

🛡️ Production Ready​

  • Type-safe API generation with automatic validation
  • Schema drift detection for data consistency
  • Comprehensive monitoring and alerting
  • Multi-environment support (dev, staging, prod)

Why We Built MXCP​

After years of working with organizations trying to integrate their data with AI systems, we saw the same problems everywhere:

  1. Security concerns - Direct database access to AI systems violates compliance
  2. Performance issues - Live API calls make AI interactions frustratingly slow
  3. Complexity - Custom integrations for every data source and AI client
  4. No governance - Zero visibility into what data AI systems access

MXCP solves all of these problems with a production-ready approach that enterprises can trust.

Real-World Example: 60-Second Setup​

Here's exactly how fast you can get started:

# 1. Install (15 seconds)
pip install mxcp

# 2. Create project (15 seconds)  
mkdir ai-data-project && cd ai-data-project
mxcp init --bootstrap

# 3. Start serving (5 seconds)
mxcp serve

# 4. Connect to Claude Desktop (25 seconds)
# Add to your Claude config:
{
  "mcpServers": {
    "my-data": {
      "command": "mxcp", 
      "args": ["serve", "--transport", "stdio"],
      "cwd": "/path/to/ai-data-project"
    }
  }
}

Result: Claude can now query your data with full audit trails, policy enforcement, and enterprise security.

Getting Started with MXCP​

MXCP is available now as a source-available project:

What's Next for MXCP​

We're just getting started. Coming soon:

  • Advanced authentication with SAML and enterprise SSO
  • Enhanced governance with data lineage tracking
  • Multi-database support with advanced federation
  • Custom AI clients beyond Claude Desktop
  • Enterprise deployment with Docker and Kubernetes support

Key Takeaways​

  • MXCP is the first enterprise-grade MCP server built for production environments
  • 60-second setup from installation to Claude Desktop integration
  • dbt integration provides cached, transformed data for lightning-fast AI queries
  • Enterprise security with audit trails, policies, and compliance tracking
  • Business Source Licensed and free for non-production use under BSL 1.1

Ready to transform your data into AI-ready endpoints? Get started with MXCP today.

Frequently Asked Questions​

Q: How does MXCP differ from other MCP servers? A: MXCP is the only MCP server built specifically for enterprise production environments, with security, governance, and dbt integration built-in.

Q: Is MXCP free to use?
A: MXCP is released under the Business Source License 1.1 (BSL). It's free for development, testing, and non-production use. The license will convert to MIT after four years from first publication. For production use as a Database Service, a commercial license is required.

Q: Can I use MXCP with databases other than DuckDB? A: Yes, MXCP supports PostgreSQL, MySQL, SQLite, and more. DuckDB is used for local caching and transformations.

Miguel Branco is the Founder & CEO of RAW Labs and the creator of MXCP. Follow him on GitHub or Twitter for updates on MXCP and enterprise data integration.