Find agent skills by outcome

await ctx.report_progress(0.25

Starting search...)

users = data.get(users

[])

total = data.get(total

async def _make_api_request(endpoint: str

method: str = GET

project management

and data export capabilities.

This server provides tools to interact with Example API

including user search

return {id: data[id]

name: data[name]}

async def _make_api_request(endpoint: str

method: str = GET

data = await api_request(limit=params.limit

offset=params.offset)

- Return complete

structured data suitable for programmatic processing

- Omit verbose metadata (e.g.

show only one profile image URL

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

Expose data as resources for efficient

URI-based access:

* This server provides tools to interact with Example API

including user search

* project management

and data export capabilities.

const truncatedData = data.slice(0

Math.max(1

const data = await apiRequest(params.limit

params.offset);

- Return complete

structured data suitable for programmatic processing

Creative

This tool searches across all user profiles in the Example platform

supporting partial matches and various search filters. It does NOT create or modify users

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

CHARACTER_LIMIT

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

`server.setRequestHandler(ListToolsRequestSchema

<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>