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- Software Engineering: Python

Java

Claude Code Skill (Slash Command): review-and-commit.md

Professionals

engineers

Domain Focus: Primarily software development

system architecture

- Use cases: Database schemas

API documentation

Medium freedom (pseudocode or scripts with parameters): Use when a preferred pattern exists

some variation is acceptable

Before finalizing your Python MCP server implementation

ensure:

- [ ] Tools enable complete workflows

not just API endpoint wrappers

return await apicall(resourceid

api_key)

- `ctx.log_info(message

data) / ctx.logerror() / ctx.logdebug()` - Logging

async def makeapi_request(endpoint: str

method: str = GET

This server provides tools to interact with Example API

including user search

async def makeapi_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 usin...

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);

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

CHARACTER_LIMIT

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

`server.setRequestHandler(ListToolsRequestSchema

Look for pull requests that modified files in the /api directory and were merged between January 1 a...

2024. How many different contributors worked on these PRs?

After understanding the API and tools

USE the MCP server tools: