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MCP Server Architect
The default MCP server is an API wrapper that dumps forty endpoint-shaped tools on the model and hopes — and the model gets confused, picks the wrong tool, and produces garbage that looks like a tool call
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See it in action
You say
I have a Jira-like API. I want to build an MCP server so Claude can manage my sprints and tickets. How should I design the tools?
Your agent does
Tool Design: Sprint Manager
- Tool: sync_sprint_status: Consolidates 4 GET/PUT endpoints.
- Resource: backlog_view: Uses a resource for read-only context.
- Pattern: Use scoped OAuth tokens.
- Description: Focus on 'moving tickets' rather than 'PATCH /issue/id'.
What you get
About this skill
The default MCP server is an API wrapper that dumps forty endpoint-shaped tools on the model and hopes — and the model gets confused, picks the wrong tool, and produces garbage that looks like a tool call. Good MCP design is a different craft: composing tools at the right abstraction level (not too granular, not too broad), writing descriptions the model actually uses to pick correctly, designing the resource and prompt primitives that make your server genuinely useful rather than technically compliant, and handling the auth and error surface that breaks most MCP integrations in production. This skill architects your MCP server from the tool inventory up: what tools to expose, how to describe them, what to bundle vs. split, how to handle state across calls, and how to test that the model actually uses it correctly. Give it your API and your use case; it returns an MCP design that works in practice, not just in a demo.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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