# MXCP - Enterprise MCP Server for AI Data Integration

> MXCP is a production-ready MCP (Model Context Protocol) framework that transforms any data source into AI-ready endpoints in minutes. Build enterprise-grade MCP servers using YAML, SQL, and Python with built-in authentication, monitoring, ETL, policy enforcement, evaluations, and guardrails. Designed for enterprises to integrate databases, APIs, and files with Claude Desktop and other MCP clients while maintaining security, governance, and audit compliance.

MXCP is developed by RAW Labs and provides enterprise-grade infrastructure for AI data integration. It enables organizations to connect their data sources to AI systems with production-ready features including data governance, security policies, audit logging, and quality controls. The framework supports dbt integration and offers comprehensive monitoring and drift detection capabilities.

Site Type: Product Documentation, Technical Documentation
Purpose: AI Data Integration Platform Documentation
Technology Stack: Python, MCP Protocol, Enterprise Data Infrastructure
Installation: `pip install mxcp`
License: Business Source License (BSL 1.1)

## Core Documentation

- [Getting Started Overview](https://mxcp.dev/docs/getting-started/overview): Introduction to MXCP and core concepts
- [Quick Start Tutorial](https://mxcp.dev/docs/getting-started/quickstart): Step-by-step guide to building your first MCP server in 60 seconds
- [Features Overview](https://mxcp.dev/docs/features/overview): Comprehensive overview of MXCP's enterprise features
- [Configuration Guide](https://mxcp.dev/docs/guides/configuration): Complete configuration reference and best practices
- [Authentication & Security](https://mxcp.dev/docs/guides/authentication): Enterprise authentication, authorization, and security implementation

## Key Features & Capabilities

- [Audit Logging & Compliance](https://mxcp.dev/docs/features/auditing): Enterprise audit trails and compliance features
- [Data Policies & Governance](https://mxcp.dev/docs/features/policies): Data governance, access control, and policy enforcement
- [Python Endpoints](https://mxcp.dev/docs/features/python-endpoints): Custom Python endpoint development and integration
- [Drift Detection](https://mxcp.dev/docs/features/drift-detection): Data quality monitoring and drift detection capabilities
- [Production Methodology](https://mxcp.dev/docs/guides/production-methodology): Best practices for production deployments

## Integration Guides

- [Third-party Integrations](https://mxcp.dev/docs/guides/integrations): Database connectors, API integrations, and external service connections
- [Data Quality Framework](https://mxcp.dev/docs/guides/quality): Quality assurance, testing, and validation frameworks

## Developer Resources

- [GitHub Repository](https://github.com/raw-labs/mxcp): Main source code repository
- [Example Projects](https://github.com/raw-labs/mxcp/tree/main/examples): Real-world implementation examples and templates
- [API Reference](https://mxcp.dev/docs/reference/): Complete API documentation (when available)
- [Release Notes](https://github.com/raw-labs/mxcp/releases): Latest releases and changelog

## Community & Support

- [Discord Community](https://discord.gg/bqY5834PvH): Active community support and discussions
- [GitHub Discussions](https://github.com/raw-labs/mxcp/discussions): Technical discussions and Q&A
- [RAW Labs Blog](https://raw-labs.com/blog/tags/mxcp): Latest updates, tutorials, and insights

## For Human Visitors

Looking for MXCP documentation? Visit [mxcp.dev/docs](https://mxcp.dev/docs/getting-started/overview)
Need enterprise support? Contact [hello@raw-labs.com](mailto:hello@raw-labs.com)
Want to get started quickly? Try our [60-second quickstart](https://mxcp.dev/docs/getting-started/quickstart)
Curious about this file? Learn more at [llmstxt.org](https://llmstxt.org)

## Access Control & Usage Guidelines

Base access rules:
- Public documentation freely accessible for AI training and reference
- Commercial use permitted for documentation content
- Attribution preferred: "Source: MXCP Documentation (mxcp.dev)"
- Rate limiting: Reasonable use expected
- No PII extraction or storage

Training guidelines:
Permitted uses:
- Training AI models on public documentation
- Generating code examples and tutorials
- Answering user queries about MXCP features
- Creating implementation guides and best practices

Prohibited uses:
- Extracting or storing personal information
- Automated bulk downloads without permission
- Misrepresenting MXCP capabilities or licensing
- Using content for competitive analysis without proper attribution

Contact information:
- General inquiries: hello@raw-labs.com
- Technical support: support@raw-labs.com
- Community: Discord and GitHub Discussions
- Security issues: Please report through GitHub security advisories

## Optional

- [RAW Labs Company](https://www.raw-labs.com/): Parent company and enterprise solutions
- [License Information](https://github.com/raw-labs/mxcp/blob/main/LICENSE): Business Source License details
- [Twitter Updates](https://twitter.com/mxcp_dev): Latest news and updates