StarCraft-Kampagnen-MCP-Server: vollstaendige Implementierung
FastMCP-Server (stdio + Streamable HTTP) mit 13 sc_-Tools fuer das Lesen und Schreiben von StarCraft-Brood-War-Karten (.scm/.scx) ueber RichChk: - sc_list_maps, sc_describe_map, sc_list_locations, sc_list_triggers (lesen) - sc_create_location, sc_rename_location, sc_set_player_setup - sc_add_trigger (Kern-Tool: 10 Condition- und 20 Action-Typen), sc_remove_trigger, sc_clear_triggers - sc_embed_wav (Voiceover/Sound-Einbettung), sc_save_map, sc_reset_map Tolerante Pydantic-Eingaben, hilfreiche Fehlermeldungen, readOnly/destructive-Hints. Karten-Sitzung im Speicher pro Basis-Karte; Basis-Karte bleibt unveraendert. Deployment: Dockerfile (python:3.12-slim), docker-compose, Caddyfile, run.sh. Beispiel-Basis-Karte in data/maps. Selbsttest beweist die ganze Pipeline. Verifiziert: Pipeline + alle Tools + WAV-Einbettung + Streamable-HTTP-Handshake (echter MCP-Client), unter Python 3.11 und 3.12. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01NaZBZofC1on2gkSMb5UWZy
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FROM python:3.12-slim
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# StormLib (von RichChk mitgeliefert) braucht keine extra System-Libs auf glibc-Basis.
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# 'slim' (Debian) ist glibc -> kompatibel mit der mitgelieferten StormLib .so.
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ENV PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=1 \
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SC_TRANSPORT=http \
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SC_HOST=0.0.0.0 \
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SC_PORT=8000 \
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SC_MAPS_DIR=/data/maps
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WORKDIR /app
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COPY requirements.txt /app/requirements.txt
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RUN pip install --no-cache-dir -r requirements.txt
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COPY starcraft_mcp /app/starcraft_mcp
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COPY selftest.py /app/selftest.py
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# Karten-Volume (Basis-Karten, WAVs, fertige Missionen).
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RUN mkdir -p /data/maps
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VOLUME ["/data/maps"]
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EXPOSE 8000
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# Streamable-HTTP-Endpunkt unter http://0.0.0.0:8000/mcp
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CMD ["python", "-m", "starcraft_mcp.server"]
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