CEDAR
Integrates with the CEDAR metadata repository, enabling AI agents to access and manage biomedical metadata as a Model Context Protocol server.
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The CEDAR MCP server acts as a crucial bridge between AI models and the Center for Expanded Data Annotation and Retrieval (CEDAR) metadata repository. It allows AI agents to programmatically interact with CEDAR, facilitating the retrieval of templates and instances of metadata. This server simplifies the complex process of accessing structured biomedical data, making it readily available for AI-driven applications, data analysis, and intelligent knowledge management within the scientific domain.
Características Principales
- Compatible with AI agent platforms like Claude Code and Claude Desktop
- Supports multiple deployment methods: UVX, PyPI, and local source
- Seamless integration with CEDAR and BioPortal APIs
- Configurable via command-line arguments or environment variables
- Provides specific tools for fetching CEDAR templates and instances
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Casos de Uso
- Integrating AI agents with biomedical metadata repositories for data access
- Automating the retrieval of specific data templates or template instances from CEDAR
- Streamlining the configuration of metadata access within AI development environments
- Enabling AI applications to understand and utilize structured scientific metadata
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