CEDAR FAQs

Question 1

What is the primary function of the CEDAR MCP Server?

Accepted Answer

It acts as a Model Context Protocol (MCP) server, allowing AI agents to seamlessly access and manage biomedical metadata stored within the CEDAR repository.

Question 2

How can I deploy or install the CEDAR MCP Server?

Accepted Answer

You can deploy it using various methods, including `uvx` (recommended), installing via PyPI (`pip`), or running directly from local source, with configuration via command-line or environment variables.

Question 3

What specific metadata operations does the server provide?

Accepted Answer

The server provides dedicated tools for fetching CEDAR templates (`get_template`) and retrieving template instances based on a specific template (`get_instances_based_on_template`).

Question 4

What external APIs does the CEDAR MCP Server integrate with?

Accepted Answer

It offers seamless integration with both the CEDAR metadata repository API and the BioPortal API, enriching the metadata access capabilities.

Question 5

Which AI agent platforms are compatible with the CEDAR MCP Server?

Accepted Answer

The CEDAR MCP Server is compatible with AI agent platforms such as Claude Code and Claude Desktop, enabling sophisticated metadata interactions.

CEDAR

主要功能

使用案例

CEDAR

主要功能

使用案例