feat: MCP-Server für RAG-Retrieval + Webhook-Härtung

app/mcp_server.py: FastMCP (mcp SDK), streamable-http auf /mcp, statischer
Bearer-Token (constant-time ASGI-Middleware), Fail-Fast ohne RAG_MCP_TOKEN.
Tools rag_search (mit semester/fach/typ-Filter) + get_file_chunks. Läuft aus
demselben Image wie der Ingestor und reused den Embed-Pfad → Vektoren sind
garantiert kompatibel zum Ingest (der offizielle qdrant-MCP-Server kann nur
fastembed → Dimension-/Schema-Mismatch).

app/qdrant_store.py: search_chunks (query_points + optionaler Payload-Filter)
und get_chunks_by_path (scroll, nach chunk_index sortiert).

app/bulk.py: Amplification-Guard — /bulk-import lehnt mit 409 ab solange ein
vorheriger Bulk noch BackgroundTasks abarbeitet.

docker-compose.coolify.yml: rag-mcp-Service (nicht public, externes
metamcp-net statt Stack-Coupling) + Traefik-Rate-Limit-Middleware am ingestor.

tests/conftest.py: Settings-env_file in Tests neutralisieren (Dev-.env darf
die Suite nicht kontaminieren). 68 passed, ruff clean.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

uv.lock

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