Stardog
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Bridges AI models with Stardog knowledge graphs, providing a standardized interface for semantic data access via SPARQL, GraphQL, and schema discovery.
Acerca de
This Model Context Protocol (MCP) server transforms Stardog knowledge graphs into a set of tools directly usable by AI models, eliminating the need for custom integrations, direct database exposure, or complex prompt engineering. It offers a standardized interface compatible with any MCP-enabled AI system, handling complex tasks like enterprise authentication, query optimization, schema discovery, and error handling to provide clean, reliable access to semantic data.
Características Principales
- Cloud-native deployment options for AWS ECS/Fargate with CDK infrastructure as code.
- Production-ready capabilities including comprehensive error handling, structured logging, and Prometheus metrics.
- Enhanced developer experience with VS Code extension compatibility and rich CLI tools.
- 0 GitHub stars
- Enterprise-grade authentication with OAuth2/OpenID Connect and AWS Secrets Manager.
- Smart query generation, converting natural language to SPARQL and GraphQL queries.
Casos de Uso
- Enabling Large Language Models (LLMs) and AI agents to directly query enterprise knowledge graphs.
- Allowing business users to ask natural language questions against semantic data stored in Stardog.
- Integrating knowledge graph data seamlessly into AI-powered applications like chat interfaces or data exploration tools.
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