Project Concord
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Transforms legacy database schemas into an AI-ready asset by mediating between modern AI agents and cryptic legacy data.
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Project Concord addresses the critical challenge of integrating modern AI agents with complex, ambiguous legacy database schemas. By acting as a headless Model Context Protocol (MCP) server and semantic mediation layer, it translates cryptic legacy data into a clear, AI-ready interface. This intelligent bridge mitigates operational risks and unlocks the value of core data assets, enabling AI agents to reliably query databases based on a formal, version-controlled Data Contract and transforming outdated information into a valuable resource for AI initiatives.
Características Principales
- Read-Only Database Safety
- Containerized & Portable Deployment
- 0 GitHub stars
- Semantic Mediation for Database Queries
- Comprehensive Observability
- Data Contract Driven Schema Definition
Casos de Uso
- Mitigating operational risk in AI-legacy integrations
- Unlocking legacy data for AI initiatives
- Enabling safe and reliable AI agent interaction with legacy databases
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