mxcp

Overview

MXCP (Model eXecution + Context Protocol) is a comprehensive framework for building production-ready MCP servers that emphasizes enterprise-grade features. It provides a structured methodology combining data modeling with dbt, security with OAuth authentication and RBAC, quality assurance with validation and testing, and operational features with drift detection and OpenTelemetry integration. MXCP supports both SQL and Python implementations, allowing developers to choose the right tool for each task while maintaining consistent security and governance across the entire system.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• analyze_salesanalyze_sales(region: string) -> dict

  Analyze sales data with automatic caching

  Try:Show me sales data for Europe regionTry:Analyze sales by region Q3 2023
• get_customerget_customer(customer_id: string) -> dict

  Retrieve customer information with security policies

  Try:Get customer details for cust_12345Try:Retrieve profile for customer ID
• analyze_textanalyze_text(text: string) -> dict

  Analyze text sentiment and extract entities

  Try:Analyze sentiment of this review: The product was amazing!Try:Extract entities from this document
• analyze_performanceanalyze_performance(department: string, threshold: float) -> dict

  Analyze employee performance metrics with complex calculations

  Try:Analyze performance in engineering department with threshold 0.8Try:Get performance stats for sales team
• batch_processbatch_process(items: list) -> dict

  Process multiple items concurrently with async operations

  Try:Batch process these orders: [ord1, ord2, ord3]Try:Process these data records asynchronously

Note: Tool names were inferred from YAML configuration examples and Python code snippets in the README. The server is a framework that allows users to define custom tools, but these are the representative examples provided in the documentation.

Comparable tools

Installation

# Install MXCP
pip install mxcp

# Initialize a new project
mkdir my-ai-tools && cd my-ai-tools
mxcp init --bootstrap

# Start serving your tools
mxcp serve

{
  "mcpServers": {
    "my-tools": {
      "command": "mxcp",
      "args": ["serve", "--transport", "stdio"],
      "cwd": "/path/to/my-ai-tools"
    }
  }
}

FAQ

What makes MXCP different from other MCP implementations?

MXCP provides a complete methodology for production MCP servers, focusing on data modeling first, security with OAuth and RBAC, comprehensive testing, and operational features like drift detection and monitoring.

Can MXCP handle both data queries and complex logic?

Yes, MXCP supports SQL for data queries against dbt models and Python for complex logic, ML models, and integrations, allowing developers to choose the right tool for each task.

Compare mxcp with