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Build MCP (Model Context Protocol) servers with tool definitions, resource providers, prompt templates, and transports.
Passed 15 of 22 test cases with the skill, and 14 of 22 without it.
1 fixed14 passed either way7 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
We are deploying a remote, multi-tenant MCP server behind a cloud load balancer for production enterprise client connections. Just draft the recommendation. Which transport protocol fits this production requirement?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends StreamableHTTP transport for remote production web environments | Missed | Passed |
The instructions your model reads when the skill loads.
Tier: POWERFUL Category: Engineering / AI Integration Maintainer: Claude Skills Team
Design and ship production-ready MCP (Model Context Protocol) servers from API contracts. Covers tool definition best practices, resource providers, prompt templates, OpenAPI-to-MCP conversion, TypeScript and Python server implementations, transport selection (stdio, SSE, StreamableHTTP), authentication patterns, testing strategies, and deployment configurations. Treats schema quality and tool discoverability as first-class concerns.
MCP, Model Context Protocol, MCP server, tool definition, resource provider, prompt template, stdio transport, SSE transport, OpenAPI to MCP, AI tool server, Claude tools
@modelcontextprotocol/sdk) and Python (mcp[cli]) servers; tool/resource/prompt registration; structured error handling; logging, auth, and rate-limit middlewareBefore building the server, confirm these inputs. If any is unknown or vague, ASK — do not assume:
@modelcontextprotocol/sdk) or Python (mcp[cli]) (sets the server implementation generated)Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
test cases passed, vs 14 / 22 without
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