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Expose Django REST Framework APIs as secure MCP tools for AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "drf-mcp" yet — see the docs or source repo.
I have a Django REST Framework project with user, order, and inventory endpoints. Explain how to use drf-mcp to auto-discover these APIs and expose them as MCP tools for an AI assistant, and include basic security configuration recommendations.
A setup guide covering auto-discovery, tool exposure flow, and authentication and security recommendations.
Help me design a solution that lets an AI agent use drf-mcp to call DRF APIs for three actions: check order status, create after-sales tickets, and update customer notes, while enforcing permissions and audit logging.
An MCP exposure plan for business actions, including tool design, permission controls, and audit strategy.
After integrating drf-mcp, the AI agent cannot see some DRF endpoints or gets permission errors when calling them. Give me a systematic troubleshooting checklist covering endpoint discovery, routing, serialization, authentication, authorization, and security settings.
A step-by-step troubleshooting checklist to identify why endpoints are not exposed or permissions fail.
Convert Django models into MCP tools and REST APIs, or scaffold projects from schemas.
Generate MCP tools from OpenAPI specs for natural-language API interaction.
Convert OpenAPI specs into MCP servers so AI agents can call APIs.
Expose OpenAPI endpoints as MCP tools for LLM-driven REST API access.
Expose FastAPI endpoints as MCP tools with auth, schemas, and docs preserved.
Convert any OpenAPI v3 spec into a working MCP server for AI integration.