Find agent skills by outcome

await ctx.report_progress(0.25

Starting search...)

users = data.get(users

[])

total = data.get(total

'''Search for users in the Example system by name

async def _make_api_request(endpoint: str

method: str = GET

query: str = Field(...

description=Search string to match against names/emails

project management

and data export capabilities.

email: str

# Email address (e.g.

This server provides tools to interact with Example API

including user search

Search for users in the Example system by name

- query (str): Search string to match against names/emails (e.g.

john

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

def validate_email(cls

v: str) -> str:

email: str = Field(...

description=User's email address

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.