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Model Context Protocol (MCP)

Definition
AI-generated

The Model Context Protocol (MCP) is an open standard for connecting language-model clients to external tools and resources (files, databases, APIs) through a structured server interface, so models can fetch context or invoke actions with explicit schemas instead of ad hoc integrations.

Topics
LLM and Agents
Synonyms
MCP
Related
AI Agent Genome-Wide Association Study (GWAS) Retrieval-Augmented Generation (RAG)

Why it matters in GWAS

MCP-style boundaries help separate model reasoning from sensitive operations (cohort queries, HPC job submission): access can be audited at the server, and genomics pipelines can expose read-only resources (e.g. reference indexes) without giving the model blanket shell access.

Example usage

"Our MCP server exposed annotated interval lookup by rsID so the assistant never saw individual-level genotypes."

AI Agent Genome-Wide Association Study (GWAS) Retrieval-Augmented Generation (RAG) Tool Calling
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Anthropic. Model Context Protocol. https://modelcontextprotocol.io/
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