mcp_data_protect

Enterprise-grade Model Context Protocol (MCP) server for secure, local-first LLM integration with proprietary SQL and CSV data.

Data privacy focused.

Architecture

Security: Asymmetric context injection; Pydantic-enforced schema validation prevents sensitive leakage.

Data Integrity: Transactional audit logging and strict type-hinting for robust tool execution.

Interface: Decoupled data-layer supporting SQLAlchemy and pandas-backed CSV sources.

Integration: Built using the official MCP Python SDK and SQLAlchemy for database-agnostic performance (SQL, PostgreSQL, CSV).

Zero-Cloud Footprint: No data is sent to third-party vectors unless explicitly configured.

MCP Resource Templates: Exposes database schemas as readable resources for LLM context.

Dynamic Tooling: Allows LLMs to execute secure, read-only SQL queries via natural language.

Audit Logging: Every query and data access event is logged for compliance.