Voraussetzungen

• Python 3.10+
• CleanTextLab Pro API-Key
• Strands Agents installiert

python -m venv .venv
source .venv/bin/activate
pip install strands-agents

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Option A: Lokales MCP via npx (empfohlen für lokale Entwicklung)

from strands import Agent
from strands.tools.mcp import MCPClient
from mcp import stdio_client, StdioServerParameters

cleantextlab = MCPClient(
    lambda: stdio_client(
        StdioServerParameters(
            command="npx",
            args=["-y", "cleantextlab-mcp"],
            env={"CLEANTEXTLAB_API_KEY": "ctl_live_YOUR_KEY"},
        )
    )
)

with cleantextlab:
    agent = Agent(tools=cleantextlab.list_tools_sync())
    agent("Remove line breaks from: Hello\nworld")

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Option B: Gehostetes MCP (SSE)

from strands import Agent
from strands.tools.mcp import MCPClient
from mcp import sse_client, SSEServerParameters

cleantextlab = MCPClient(
    lambda: sse_client(
        SSEServerParameters(
            url="https://cleantextlab.com/api/mcp/sse",
            headers={"x-api-key": "ctl_live_YOUR_KEY"},
        )
    )
)

with cleantextlab:
    agent = Agent(tools=cleantextlab.list_tools_sync())
    agent("Generate an ASCII tree from: src/app/page.tsx")

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Warum MCP für Agenten?

• Deterministische Ausgabe für Formatierungsaufgaben
• Weniger Token durch Auslagerung schwerer Operationen
• Wiederverwendbare Tools in Agent-Workflows

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Nächste Schritte

• MCP-Guide: /docs/mcp-setup
• API-Referenz: /docs/api
• Automation Hub: /automation