Add support for local Qdrant mode

README.md

@@ -73,10 +73,13 @@ by passing the `--fastembed-model-name` argument to the server.
 
 The configuration of the server can be also done using environment variables:
 
-- `QDRANT_URL`: URL of the Qdrant server
+- `QDRANT_URL`: URL of the Qdrant server, e.g. `http://localhost:6333`
 - `QDRANT_API_KEY`: API key for the Qdrant server
 - `COLLECTION_NAME`: Name of the collection to use
 - `FASTEMBED_MODEL_NAME`: Name of the FastEmbed model to use
+- `QDRANT_LOCAL_PATH`: Path to the local Qdrant database
+
+You cannot provide `QDRANT_URL` and `QDRANT_LOCAL_PATH` at the same time.
 
 ## License
 

src/mcp_server_qdrant/qdrant.py

@@ -9,23 +9,25 @@ class QdrantConnector:
     :param qdrant_api_key: The API key to use for the Qdrant server.
     :param collection_name: The name of the collection to use.
     :param fastembed_model_name: The name of the FastEmbed model to use.
+    :param qdrant_local_path: The path to the storage directory for the Qdrant client, if local mode is used.
     """
 
     def __init__(
         self,
-        qdrant_url: str,
+        qdrant_url: Optional[str],
         qdrant_api_key: Optional[str],
         collection_name: str,
         fastembed_model_name: str,
+        qdrant_local_path: Optional[str] = None,
     ):
-        self._qdrant_url = qdrant_url.rstrip("/")
+        self._qdrant_url = qdrant_url.rstrip("/") if qdrant_url else None
         self._qdrant_api_key = qdrant_api_key
         self._collection_name = collection_name
         self._fastembed_model_name = fastembed_model_name
         # For the time being, FastEmbed models are the only supported ones.
         # A list of all available models can be found here:
         # https://qdrant.github.io/fastembed/examples/Supported_Models/
-        self._client = AsyncQdrantClient(qdrant_url, api_key=qdrant_api_key)
+        self._client = AsyncQdrantClient(location=qdrant_url, api_key=qdrant_api_key, path=qdrant_local_path)
         self._client.set_model(fastembed_model_name)
 
     async def store_memory(self, information: str):

src/mcp_server_qdrant/server.py

@@ -12,22 +12,24 @@
 
 
 def serve(
-    qdrant_url: str,
+    qdrant_url: Optional[str],
     qdrant_api_key: Optional[str],
     collection_name: str,
     fastembed_model_name: str,
+    qdrant_local_path: Optional[str] = None,
 ) -> Server:
     """
     Instantiate the server and configure tools to store and find memories in Qdrant.
     :param qdrant_url: The URL of the Qdrant server.
     :param qdrant_api_key: The API key to use for the Qdrant server.
     :param collection_name: The name of the collection to use.
     :param fastembed_model_name: The name of the FastEmbed model to use.
+    :param qdrant_local_path: The path to the storage directory for the Qdrant client, if local mode is used.
     """
     server = Server("qdrant")
 
     qdrant = QdrantConnector(
-        qdrant_url, qdrant_api_key, collection_name, fastembed_model_name
+        qdrant_url, qdrant_api_key, collection_name, fastembed_model_name, qdrant_local_path
     )
 
     @server.list_tools()
@@ -112,7 +114,7 @@ async def handle_tool_call(
 @click.option(
     "--qdrant-url",
     envvar="QDRANT_URL",
-    required=True,
+    required=False,
     help="Qdrant URL",
 )
 @click.option(
@@ -134,19 +136,31 @@ async def handle_tool_call(
     help="FastEmbed model name",
     default="sentence-transformers/all-MiniLM-L6-v2",
 )
+@click.option(
+    "--qdrant-local-path",
+    envvar="QDRANT_LOCAL_PATH",
+    required=False,
+    help="Qdrant local path",
+)
 def main(
-    qdrant_url: str,
+    qdrant_url: Optional[str],
     qdrant_api_key: str,
     collection_name: Optional[str],
     fastembed_model_name: str,
+    qdrant_local_path: Optional[str],
 ):
+    # XOR of url and local path, since we accept only one of them
+    if not (bool(qdrant_url) ^ bool(qdrant_local_path)):
+        raise ValueError("Exactly one of qdrant-url or qdrant-local-path must be provided")
+
     async def _run():
         async with mcp.server.stdio.stdio_server() as (read_stream, write_stream):
             server = serve(
                 qdrant_url,
                 qdrant_api_key,
                 collection_name,
                 fastembed_model_name,
+                qdrant_local_path,
             )
             await server.run(
                 read_stream,