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
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tool registration patterns
not just API endpoint wrappers
URI-based access:
including user search
and data export capabilities.
Math.max(1
params.offset);
structured data suitable for programmatic processing
CHARACTER_LIMIT
`server.setRequestHandler(ListToolsRequestSchema
2024. How many different contributors worked on these PRs?</question>
USE the MCP server tools:
never in code
`next_offset`/`next_cursor`
`slack_mcp`)
dependencies
starting with the most common operations.
authentication requirements
benefiting from its broad usage
relevant data. Some clients support code execution which can help agents filter and process data efficiently.
while comprehensive coverage gives agents flexibility to compose operations. Performance varies by client—some clients benefit from code execution that combines basic tools
whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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gokhan_architect.py)?