MCPLarge Language ModelsREST endpointsauthentication methods
I'm working on an MCP server at my employer so that end users can interact with the system through Claude and ChatGPT. The system has existing REST endpoints that use OAuth scopes. Our naive first approach was adding a thin layer of prompts around these endpoints... However, we're finding that this is leading to a few problems: 1) the LLM doesn't always follow directions, 2) exposing UUIDs is confusing, and 3) OpenAI's lack of vertical UI support is limiting.
Synthesized Answer
Based on 1 community responses
You're experiencing common challenges when integrating LLMs with existing REST endpoints. To address these issues, consider implementing more user-friendly and LLM-friendly tools with custom logic. This approach diverges from simply wrapping REST endpoints and can improve reliability and user experience. For instance, you can create tools that handle orchestration, use human-meaningful composite keys, and support multiple states.
Key Takeaways
Implement custom logic in MCP tools to handle orchestration and improve reliability
Use human-meaningful composite keys instead of UUIDs to identify resources
Design tools to support multiple states and handle multiple tool calls