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MXCP Enterprise MCP Framework
MCPOfficialOpen SourceNOASSERTION61.6
by raw-labs • Uncategorized
An enterprise-grade framework for building production-ready MCP servers with security, data quality, and comprehensive testing.
Example Use Cases
- 1
Secure and compliant AI tool APIs with audit trails and policy enforcement.
- 2
Combine SQL data queries and Python logic for complex AI workflows.
- 3
Enterprise-grade monitoring, testing, and drift detection in MCP servers.
Description
MXCP provides a structured methodology to build production AI applications by combining SQL and Python implementations with enterprise features like OAuth authentication, RBAC, audit trails, and policy enforcement. It supports data modeling with dbt, type safety, testing frameworks, drift detection, and OpenTelemetry for observability. MXCP enables secure, scalable, and maintainable MCP servers suitable for complex AI workflows.
Quick Actions
Security
Scanned 1 month(s) agoRisk Level
MINIMAL
Read-only data retrieval, no side effects
Trust Score
D49/100
8/17 checks passed
Scores are informational only and provided “as is” without warranty. AgentHotspot assumes no liability for actions taken based on these ratings.
Quick Stats
Service TypeMCP
Pricing ModelFree
Capabilities0 Tools / 0 Prompts / 0 Resources
Ownerraw-labs
CategoryUncategorized
DependenciesStandalone
Tags
chatgptclaudedbtduckdblarge-language-modellarge-language-modelsllmsmcpmcp-clientmodel-context-protocolmxcpopenaipython-mcp-server