aidancorrell/arcana
arcana
Agent-first data catalog. MCP server that gives AI agents the context to write correct SQL — semantic search, auto-documentation, lineage-aware retrieval, and a self-improving feedback loop.
Builder
aidancorrell
aidancorrell • individual
Stars
7
Using upstream star count
Forks
2
Using upstream fork count
Open Issues
0
Activity Score
0/100
0 commits in 30d
Created
Mar 19, 2026
Project creation date
README Summary
An agent-first data catalog that gives AI the context to write correct SQL on the first try.
Community Evaluation
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Agent Architecture DesignAgentic AI SystemsAgent OrchestrationAuto-documentation GenerationContext-Aware Prompt EngineeringData Lineage TrackingFeedback Loop DesignFeedback Loop OptimizationInformation RetrievalKnowledge Graph ConstructionModel Context Protocol IntegrationNatural Language to SQLRetrieval-Augmented GenerationSchema UnderstandingSemantic SearchSQL Query GenerationVector-based Information Retrieval
Tags
Agent Architecture DesignAgentic AI SystemsAgent OrchestrationAuto-documentation GenerationContext-Aware Prompt EngineeringData Lineage TrackingFeedback Loop DesignFeedback Loop OptimizationInformation RetrievalKnowledge Graph ConstructionModel Context Protocol IntegrationNatural Language to SQLRetrieval-Augmented GenerationSchema UnderstandingSemantic SearchSQL Query GenerationVector-based Information RetrievalAnthropic / ClaudeClaudeClaude CodeDatabaseDockerEmbeddingsForkedHybrid SearchLarge Language ModelsMCPOpenAIRust
Taxonomy
AI Trends
Deployment Context
Skill Areas
Retrieval-Augmented GenerationSemantic SearchAgent Architecture DesignModel Context Protocol IntegrationKnowledge Graph ConstructionData Lineage TrackingNatural Language to SQLVector-based Information RetrievalAuto-documentation GenerationFeedback Loop OptimizationSQL Query GenerationAgent OrchestrationSchema UnderstandingFeedback Loop DesignInformation RetrievalAgentic AI SystemsContext-Aware Prompt Engineering
tag
Use Cases
AI-assisted SQL query generationSemantic database searchAutomated data documentationData lineage and impact analysisDatabase schema understanding for LLMsSelf-improving data catalog systemsSQL query generation from natural languageSQL Query Generation from Natural LanguageDatabase Schema Discovery and DocumentationData Lineage and Impact AnalysisSemantic Search over Database MetadataSelf-improving Data Context through Feedback LoopsAutomated data catalog documentationData lineage discovery and trackingSchema semantic searchAI agent context augmentation for database queriesSelf-improving query accuracy through feedback
Recent Activity
Updated 2 months ago
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90 Days
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Quality
beta- Quality
- medium
- Maturity
- beta
Categories
RAG & RetrievalPrimaryMLOps & InfrastructureDev Tools & AutomationFoundation ModelsAI AgentsSearch & KnowledgeOther AI / ML
PM Skills
Scale & ReliabilityProduct DiscoveryDeveloper Platform
Languages
Rust100.0%
Timeline
- Project created
- Mar 19, 2026
- Forked
- Mar 26, 2026
- Your last push
- 2 months ago
- Upstream last push
- 2 months ago
- Tracked since
- Mar 26, 2026
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