gpt-rag-mcp
Azure/gpt-rag-mcp is a Python server that exposes GPT-RAG capabilities through the Model Context Protocol. It is deployed with Azure resources and consumed by GPT-RAG through its MCP strategy, while the catalogue provides instructions, skills, and agents for operating it.
Skill Claude CodeCodex ✓ vendor
Conducts and records a verifiable GPT-RAG MCP architectural decision. Use when a choice alters protocol contracts, runtime boundaries, identity, data, deployment, or operation with meaningful reversal cost.
Skill Claude CodeCodex ✓ vendor
Prepares and validates GPT-RAG MCP component releases. Use for versions, dependency locks, changelog entries, release branches, tags, GitHub Releases, and platform pin coordination.
Skill Claude CodeCodex ✓ vendor
Keeps GPT-RAG MCP service and umbrella documentation aligned with shipped behavior. Use for capabilities, configuration keys, deployment steps, endpoints, defaults, operations, or breaking changes.
Skill Claude CodeCodex ✓ vendor
GPT-RAG MCP architecture and implementation principles. Use for design, review, meaningful refactoring, Azure integration, security, protocol, testing, or operational changes.
Skill Claude CodeCodex ✓ vendor
Designs and implements safe GPT-RAG MCP tools, resources, prompts, and registrations. Use whenever a runtime MCP capability or its orchestrator-facing contract changes.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: