Find agent skills by outcome

- In your <summary> tags

you must explain:

read

write

session_ctx = ClientSession(read

write)

read

write = result

Before finalizing your Python MCP server implementation

ensure:

- [ ] Tools enable complete workflows

not just API endpoint wrappers

return await api_call(resource_id

api_key)

- `ctx.log_info(message

data)` / `ctx.log_error()` / `ctx.log_debug()` - Logging

async def _make_api_request(endpoint: str

method: str = GET

This server provides tools to interact with Example API

including user search

async def _make_api_request(endpoint: str

method: str = GET

data = await api_request(limit=params.limit

offset=params.offset)

The official MCP Python SDK provides FastMCP

a high-level framework for building MCP servers. It provides:

This document provides Python-specific best practices and examples for implementing MCP servers using the MCP Python SDK. It covers server setup

tool registration patterns

- [ ] Tools enable complete workflows

not just API endpoint wrappers

* This server provides tools to interact with Example API

including user search

const data = await apiRequest(params.limit

params.offset);

content: [{ type: text

text: textContent }]

textContent = JSON.stringify(output

null

│ └── constants.ts # Shared constants (API_URL

CHARACTER_LIMIT

- DO NOT use: Old deprecated APIs such as `server.tool()`

`server.setRequestHandler(ListToolsRequestSchema

content: [{ type: text

text: JSON.stringify(output) }]

After inspecting the content

create 10 human-readable questions:

<question>Look for pull requests that modified files in the /api directory and were merged between January 1 and January 31

2024. How many different contributors worked on these PRs?</question>