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Use this skill when building Model Context Protocol (MCP) servers, creating AI tool integrations, designing agent-accessible tools, or making external services accessible to AI agents. Trigger on keywords: MCP, Model Context Protocol, MCP server, AI tool, tool integration, agent tools, connect AI to, build MCP, FastMCP.
Passed 21 of 22 test cases with the skill, and 18 of 22 without it.
and 1 more in the full report
3 fixed18 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
I have a Python server script at `/opt/tools/server.py` that requires a `DB_PASSWORD` environment variable. Show me the JSON configuration to add this to Claude Desktop.
| Checked | Without skill | With skill |
|---|---|---|
| Places the configuration under the mcpServers key | Passed | Passed |
| Includes an env object containing the DB_PASSWORD key | Passed | Passed |
| Specifies the command as python | Missed | Passed |
The instructions your model reads when the skill loads.
Model Context Protocol is the open standard for connecting AI agents to external tools and data sources. Think of it as USB-C for AI — one standard connector to any tool.
When to use MCP: When you want a tool to be reusable across multiple agents or platforms (Claude, Copilot, Cursor, etc.)
When NOT to use MCP: For project-specific, one-off integrations where the overhead isn't worth it.
my-mcp-server/
├── server.py (Python) or index.ts (TypeScript)
├── tools/
│ ├── tool_one.py
│ └── tool_two.py
├── resources/ # Optional: expose data sources
├── prompts/ # Optional: expose prompt templates
├── requirements.txt or package.json
└── README.md
from fastmcp import FastMCP
mcp = FastMCP("my-server-name")
@mcp.tool()
def get_user(user_id: str) -> dict:
"""
Retrieve a user by their ID.
test cases passed, vs 18 / 22 without
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