┌──────────────┐     ┌────────────────────┐     ┌─────────────┐
│  MCP Client   │────>│  qdrant-mcp-ollama │────>│   Ollama    │
│ (Claude Code, │     │    (server.py)      │     │  (GPU)      │
│  Kilo Code,   │<────│                    │     └─────────────┘
│  Cursor, etc) │     └────────┬───────────┘
└──────────────┘              │
                              v
                   ┌────────────────────┐
                   │   Qdrant Server    │
                   │  (Docker, :6333)   │
                   │  Storage: local    │
                   │  disk / cloud      │
                   └────────────────────┘

ollama pull bge-m3

docker run -d --name qdrant-server \
  -p 6333:6333 -p 6334:6334 \
  -v qdrant-storage:/qdrant/storage \
  --restart unless-stopped \
  qdrant/qdrant:latest

# No install needed — uv downloads dependencies on-the-fly:
QDRANT_URL="http://localhost:6333" \
EMBEDDING_MODEL="bge-m3" \
uv run --with fastmcp --with qdrant-client --with httpx python server.py

uv run --with qdrant-client --with httpx python embed_codebase.py \
  /path/to/your/project my-project --preset python

# Create storage directories
mkdir -p E:/qdrant-storage E:/qdrant-snapshots

# Start Qdrant with persistent storage
docker run -d --name qdrant-server \
  -p 6333:6333 -p 6334:6334 \
  -v E:/qdrant-storage:/qdrant/storage \
  -v E:/qdrant-snapshots:/qdrant/snapshots \
  --restart unless-stopped \
  qdrant/qdrant:latest

docker run -d --name qdrant-server \
  -p 6333:6333 -p 6334:6334 \
  -v ~/qdrant-storage:/qdrant/storage \
  --restart unless-stopped \
  qdrant/qdrant:latest

docker ps --filter name=qdrant-server
# Or open http://localhost:6333/dashboard in your browser

QDRANT_URL="https://your-cluster.cloud.qdrant.io:6333"
QDRANT_API_KEY="your-api-key"

uv run --with qdrant-client --with httpx python embed_codebase.py <directory> <collection-name>

# Python project
python embed_codebase.py ./my-api api-backend --preset python

# Full-stack web project
python embed_codebase.py ./my-app frontend --preset web

# R / bioinformatics project
python embed_codebase.py ./analysis bio-analysis --preset r

# Everything
python embed_codebase.py ./mono-repo all-code --preset all

python embed_codebase.py ./project my-collection --extensions .py .sql .sh .yaml

usage: embed_codebase.py <directory> <collection> [options]

positional arguments:
  directory              Path to the codebase directory
  collection             Qdrant collection name

options:
  --extensions EXT [EXT ...]  File extensions to include (e.g. .py .ts)
  --preset PRESET             Use a preset group of extensions
  --model MODEL               Ollama embedding model (default: bge-m3)
  --qdrant-url URL            Qdrant server URL (default: http://localhost:6333)
  --ollama-url URL            Ollama server URL (default: http://localhost:11434)
  --chunk-size N              Max lines per chunk (default: 80)
  --chunk-overlap N           Overlap lines between chunks (default: 10)
  --batch-size N              Upload batch size for Qdrant (default: 500)
  --append                    Append to existing collection instead of replacing

# First embed
python embed_codebase.py ./src main-code --preset typescript

# Add more files later
python embed_codebase.py ./docs main-code --extensions .md --append

# Project A
python embed_codebase.py ~/projects/api-server api-server --preset python

# Project B
python embed_codebase.py ~/projects/web-app web-app --preset web

# Project C
python embed_codebase.py ~/projects/data-pipeline data-pipeline --preset python

claude mcp add qdrant -s user \
  -e QDRANT_URL="http://localhost:6333" \
  -e OLLAMA_URL="http://localhost:11434" \
  -e EMBEDDING_MODEL="bge-m3" \
  -- uv run --with fastmcp --with qdrant-client --with httpx \
     python /path/to/qdrant-mcp-ollama/server.py

claude mcp add qdrant -s user \
  -e QDRANT_URL="http://localhost:6333" \
  -e OLLAMA_URL="http://localhost:11434" \
  -e EMBEDDING_MODEL="bge-m3" \
  -e COLLECTION_NAME="my-project" \
  -- uv run --with fastmcp --with qdrant-client --with httpx \
     python /path/to/qdrant-mcp-ollama/server.py

claude mcp list
# Should show: qdrant: ... ✓ Connected

claude mcp get qdrant
# Shows full configuration details

{
  "kilocode.mcpServers": {
    "qdrant": {
      "command": "uv",
      "args": [
        "run", "--with", "fastmcp", "--with", "qdrant-client", "--with", "httpx",
        "python", "/path/to/qdrant-mcp-ollama/server.py"
      ],
      "env": {
        "QDRANT_URL": "http://localhost:6333",
        "OLLAMA_URL": "http://localhost:11434",
        "EMBEDDING_MODEL": "bge-m3",
        "COLLECTION_NAME": "my-project"
      }
    }
  }
}

QDRANT_URL="http://localhost:6333" \
OLLAMA_URL="http://localhost:11434" \
EMBEDDING_MODEL="bge-m3" \
FASTMCP_PORT=8000 \
uv run --with fastmcp --with qdrant-client --with httpx \
  python server.py --transport sse

uv run --with fastmcp --with qdrant-client --with httpx python server.py