Handle parameters with environmental variables only (#24)

* Switch to Typer to read the CLI parameters and options

* Rely on environmental variables only

* Fix tests

* Update README

README.md

@@ -1,7 +1,10 @@
 # mcp-server-qdrant: A Qdrant MCP server
 [![smithery badge](https://smithery.ai/badge/mcp-server-qdrant)](https://smithery.ai/protocol/mcp-server-qdrant)
 
-> The [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
+> The [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open protocol that enables
+> seamless integration between LLM applications and external data sources and tools. Whether you’re building an
+> AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to
+> connect LLMs with the context they need.
 
 This repository is an example of how to create a MCP server for [Qdrant](https://qdrant.tech/), a vector search engine.
 
@@ -27,18 +30,18 @@ It acts as a semantic memory layer on top of the Qdrant database.
      - `query` (string): Query to retrieve a memory
    - Returns: Memories stored in the Qdrant database as separate messages
 
-## Installation
+## Installation in Claude Desktop
 
-### Using uv (recommended)
+### Using mcp (recommended)
 
-When using [`uv`](https://docs.astral.sh/uv/) no specific installation is needed to directly run *mcp-server-qdrant*.
+When using [`mcp`](https://github.com/modelcontextprotocol/python-sdk) no specific installation is needed to directly run *mcp-server-qdrant*.
 
 ```shell
-uv run mcp-server-qdrant \
-  --qdrant-url "http://localhost:6333" \
-  --qdrant-api-key "your_api_key" \
-  --collection-name "my_collection" \
-  --embedding-model "sentence-transformers/all-MiniLM-L6-v2"
+mcp install src/mcp_server_qdrant/server.py \
+  -v QDRANT_URL="http://localhost:6333" \
+  -v QDRANT_API_KEY="your_api_key" \
+  -v COLLECTION_NAME="my_collection" \
+  -v EMBEDDING_MODEL="sentence-transformers/all-MiniLM-L6-v2"
 ```
 
 ### Installing via Smithery
@@ -49,70 +52,68 @@ To install Qdrant MCP Server for Claude Desktop automatically via [Smithery](htt
 npx @smithery/cli install mcp-server-qdrant --client claude
 ```
 
-## Usage with Claude Desktop
+### Manual configuration
 
-To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your `claude_desktop_config.json`:
+To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your
+`claude_desktop_config.json`:
 
 ```json
 {
   "qdrant": {
     "command": "uvx",
-    "args": [
-      "mcp-server-qdrant",
-      "--qdrant-url",
-      "http://localhost:6333",
-      "--qdrant-api-key",
-      "your_api_key",
-      "--collection-name",
-      "your_collection_name"
-    ]
+    "args": ["mcp-server-qdrant"],
+    "env": {
+      "QDRANT_URL": "http://localhost:6333",
+      "QDRANT_API_KEY": "your_api_key",
+      "COLLECTION_NAME": "your_collection_name",
+      "EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
+    }
   }
 }
 ```
 
-Replace `http://localhost:6333`, `your_api_key` and `your_collection_name` with your Qdrant server URL, Qdrant API key
-and collection name, respectively. The use of API key is optional, but recommended for security reasons, and depends on
-the Qdrant server configuration.
+For local Qdrant mode:
+
+```json
+{
+  "qdrant": {
+    "command": "uvx",
+    "args": ["mcp-server-qdrant"],
+    "env": {
+      "QDRANT_LOCAL_PATH": "/path/to/qdrant/database",
+      "COLLECTION_NAME": "your_collection_name",
+      "EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
+    }
+  }
+}
+```
 
 This MCP server will automatically create a collection with the specified name if it doesn't exist.
 
 By default, the server will use the `sentence-transformers/all-MiniLM-L6-v2` embedding model to encode memories.
-For the time being, only [FastEmbed](https://qdrant.github.io/fastembed/) models are supported, and you can change it
-by passing the `--embedding-model` argument to the server.
+For the time being, only [FastEmbed](https://qdrant.github.io/fastembed/) models are supported.
 
-### Using the local mode of Qdrant
+### Support for other tools
 
-To use a local mode of Qdrant, you can specify the path to the database using the `--qdrant-local-path` argument:
-
-```json
-{
-  "qdrant": {
-    "command": "uvx",
-    "args": [
-      "mcp-server-qdrant",
-      "--qdrant-local-path",
-      "/path/to/qdrant/database",
-      "--collection-name",
-      "your_collection_name"
-    ]
-  }
-}
-```
-
-It will run Qdrant local mode inside the same process as the MCP server. Although it is not recommended for production.
+This MCP server can be used with any MCP-compatible client. For example, you can use it with
+[Cursor](https://docs.cursor.com/context/model-context-protocol), which provides built-in support for the Model Context
+Protocol.
 
 ## Environment Variables
 
-The configuration of the server can be also done using environment variables:
+The configuration of the server is done using environment variables:
 
 - `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
-- `EMBEDDING_MODEL`: Name of the embedding model to use
+- `QDRANT_API_KEY`: API key for the Qdrant server (optional, depends on Qdrant server configuration)
+- `COLLECTION_NAME`: Name of the collection to use (required)
+- `EMBEDDING_MODEL`: Name of the embedding model to use (default: `sentence-transformers/all-MiniLM-L6-v2`)
 - `EMBEDDING_PROVIDER`: Embedding provider to use (currently only "fastembed" is supported)
-- `QDRANT_LOCAL_PATH`: Path to the local Qdrant database
+- `QDRANT_LOCAL_PATH`: Path to the local Qdrant database (alternative to `QDRANT_URL`)
 
-You cannot provide `QDRANT_URL` and `QDRANT_LOCAL_PATH` at the same time.
+Note: You cannot provide both `QDRANT_URL` and `QDRANT_LOCAL_PATH` at the same time.
+
+> [!IMPORTANT]
+> Command-line arguments are not supported anymore! Please use environment variables for all configuration.
 
 ## Contributing
 
@@ -126,9 +127,8 @@ servers. It runs both a client UI (default port 5173) and an MCP proxy server (d
 your browser to use the inspector.
 
 ```shell
-npx @modelcontextprotocol/inspector uv run mcp-server-qdrant \
-  --collection-name test \
-  --qdrant-local-path /tmp/qdrant-local-test
+QDRANT_URL=":memory:" COLLECTION_NAME="test" \
+mcp dev src/mcp_server_qdrant/server.py
 ```
 
 Once started, open your browser to http://localhost:5173 to access the inspector interface.

pyproject.toml

@@ -9,7 +9,6 @@ dependencies = [
     "mcp[cli]>=1.3.0",
     "fastembed>=0.6.0",
     "qdrant-client>=1.12.0",
-    "typer>=0.15.2",
 ]
 
 [build-system]
@@ -26,7 +25,7 @@ dev-dependencies = [
 ]
 
 [project.scripts]
-mcp-server-qdrant = "mcp_server_qdrant:main"
+mcp-server-qdrant = "mcp_server_qdrant.main:main"
 
 [tool.pytest.ini_options]
 testpaths = ["tests"]

src/mcp_server_qdrant/__init__.py

@@ -1,10 +0,0 @@
-from . import server
-
-
-def main():
-    """Main entry point for the package."""
-    server.mcp.run()
-
-
-# Optionally expose other important items at package level
-__all__ = ["main", "server"]

src/mcp_server_qdrant/embeddings/__init__.py

@@ -1,5 +0,0 @@
-from .base import EmbeddingProvider
-from .factory import create_embedding_provider
-from .fastembed import FastEmbedProvider
-
-__all__ = ["EmbeddingProvider", "FastEmbedProvider", "create_embedding_provider"]

src/mcp_server_qdrant/embeddings/factory.py

@@ -1,4 +1,5 @@
 from mcp_server_qdrant.embeddings import EmbeddingProvider
+from mcp_server_qdrant.embeddings.types import EmbeddingProviderType
 from mcp_server_qdrant.settings import EmbeddingProviderSettings
 
 
@@ -8,7 +9,7 @@ def create_embedding_provider(settings: EmbeddingProviderSettings) -> EmbeddingP
     :param settings: The settings for the embedding provider.
     :return: An instance of the specified embedding provider.
     """
-    if settings.provider_type.lower() == "fastembed":
+    if settings.provider_type == EmbeddingProviderType.FASTEMBED:
         from mcp_server_qdrant.embeddings.fastembed import FastEmbedProvider
 
         return FastEmbedProvider(settings.model_name)

src/mcp_server_qdrant/embeddings/types.py

@@ -0,0 +1,5 @@
+from enum import Enum
+
+
+class EmbeddingProviderType(Enum):
+    FASTEMBED = "fastembed"

src/mcp_server_qdrant/main.py

@@ -0,0 +1,9 @@
+from mcp_server_qdrant.server import mcp
+
+
+def main():
+    """
+    Main entry point for the mcp-server-qdrant script defined
+    in pyproject.toml. It runs the MCP server.
+    """
+    mcp.run()

src/mcp_server_qdrant/server.py

@@ -1,5 +1,4 @@
 import logging
-import os
 from contextlib import asynccontextmanager
 from typing import AsyncIterator, List
 
@@ -8,27 +7,18 @@ from mcp.server.fastmcp import Context, FastMCP
 
 from mcp_server_qdrant.embeddings.factory import create_embedding_provider
 from mcp_server_qdrant.qdrant import QdrantConnector
-from mcp_server_qdrant.settings import (
-    EmbeddingProviderSettings,
-    QdrantSettings,
-    parse_args,
-)
+from mcp_server_qdrant.settings import EmbeddingProviderSettings, QdrantSettings
 
 logger = logging.getLogger(__name__)
 
-# Parse command line arguments and set them as environment variables.
-# This is done for backwards compatibility with the previous versions
-# of the MCP server.
-env_vars = parse_args()
-for key, value in env_vars.items():
-    os.environ[key] = value
-
 
 @asynccontextmanager
 async def server_lifespan(server: Server) -> AsyncIterator[dict]:  # noqa
     """
     Context manager to handle the lifespan of the server.
     This is used to configure the embedding provider and Qdrant connector.
+    All the configuration is now loaded from the environment variables.
+    Settings handle that for us.
     """
     try:
         # Embedding provider is created with a factory function so we can add
@@ -63,7 +53,7 @@ async def server_lifespan(server: Server) -> AsyncIterator[dict]:  # noqa
         pass
 
 
-mcp = FastMCP("Qdrant", lifespan=server_lifespan)
+mcp = FastMCP("mcp-server-qdrant", lifespan=server_lifespan)
 
 
 @mcp.tool(
@@ -116,7 +106,3 @@ async def find(query: str, ctx: Context) -> List[str]:
     for entry in entries:
         content.append(f"<entry>{entry}</entry>")
     return content
-
-
-if __name__ == "__main__":
-    mcp.run()

src/mcp_server_qdrant/settings.py

@@ -1,17 +1,19 @@
-import argparse
-from typing import Any, Dict, Optional
+from typing import Optional
 
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
+from mcp_server_qdrant.embeddings.types import EmbeddingProviderType
+
 
 class EmbeddingProviderSettings(BaseSettings):
     """
     Configuration for the embedding provider.
     """
 
-    provider_type: str = Field(
-        default="fastembed", validation_alias="EMBEDDING_PROVIDER"
+    provider_type: EmbeddingProviderType = Field(
+        default=EmbeddingProviderType.FASTEMBED,
+        validation_alias="EMBEDDING_PROVIDER",
     )
     model_name: str = Field(
         default="sentence-transformers/all-MiniLM-L6-v2",
@@ -36,66 +38,3 @@ class QdrantSettings(BaseSettings):
         Get the Qdrant location, either the URL or the local path.
         """
         return self.location or self.local_path
-
-
-def parse_args() -> Dict[str, Any]:
-    """
-    Parse command line arguments for the MCP server.
-
-    Returns:
-        Dict[str, Any]: Dictionary of parsed arguments
-    """
-    parser = argparse.ArgumentParser(description="Qdrant MCP Server")
-
-    # Qdrant connection options
-    connection_group = parser.add_mutually_exclusive_group()
-    connection_group.add_argument(
-        "--qdrant-url",
-        help="URL of the Qdrant server, e.g. http://localhost:6333",
-    )
-    connection_group.add_argument(
-        "--qdrant-local-path",
-        help="Path to the local Qdrant database",
-    )
-
-    # Other Qdrant settings
-    parser.add_argument(
-        "--qdrant-api-key",
-        help="API key for the Qdrant server",
-    )
-    parser.add_argument(
-        "--collection-name",
-        help="Name of the collection to use",
-    )
-
-    # Embedding settings
-    parser.add_argument(
-        "--embedding-provider",
-        help="Embedding provider to use (currently only 'fastembed' is supported)",
-    )
-    parser.add_argument(
-        "--embedding-model",
-        help="Name of the embedding model to use",
-    )
-
-    args = parser.parse_args()
-
-    # Convert to dictionary and filter out None values
-    args_dict = {k: v for k, v in vars(args).items() if v is not None}
-
-    # Convert argument names to environment variable format
-    env_vars = {}
-    if "qdrant_url" in args_dict:
-        env_vars["QDRANT_URL"] = args_dict["qdrant_url"]
-    if "qdrant_api_key" in args_dict:
-        env_vars["QDRANT_API_KEY"] = args_dict["qdrant_api_key"]
-    if "collection_name" in args_dict:
-        env_vars["COLLECTION_NAME"] = args_dict["collection_name"]
-    if "embedding_model" in args_dict:
-        env_vars["EMBEDDING_MODEL"] = args_dict["embedding_model"]
-    if "embedding_provider" in args_dict:
-        env_vars["EMBEDDING_PROVIDER"] = args_dict["embedding_provider"]
-    if "qdrant_local_path" in args_dict:
-        env_vars["QDRANT_LOCAL_PATH"] = args_dict["qdrant_local_path"]
-
-    return env_vars

tests/test_config.py

@@ -3,6 +3,7 @@ from unittest.mock import patch
 
 import pytest
 
+from mcp_server_qdrant.embeddings.types import EmbeddingProviderType
 from mcp_server_qdrant.settings import EmbeddingProviderSettings, QdrantSettings
 
 
@@ -47,15 +48,15 @@ class TestEmbeddingProviderSettings:
     def test_default_values(self):
         """Test default values are set correctly."""
         settings = EmbeddingProviderSettings()
-        assert settings.provider_type == "fastembed"
+        assert settings.provider_type == EmbeddingProviderType.FASTEMBED
         assert settings.model_name == "sentence-transformers/all-MiniLM-L6-v2"
 
     @patch.dict(
         os.environ,
-        {"EMBEDDING_PROVIDER": "custom_provider", "EMBEDDING_MODEL": "custom_model"},
+        {"EMBEDDING_MODEL": "custom_model"},
     )
     def test_custom_values(self):
         """Test loading custom values from environment variables."""
         settings = EmbeddingProviderSettings()
-        assert settings.provider_type == "custom_provider"
+        assert settings.provider_type == EmbeddingProviderType.FASTEMBED
         assert settings.model_name == "custom_model"

uv.lock

@@ -498,7 +498,6 @@ dependencies = [
     { name = "fastembed" },
     { name = "mcp", extra = ["cli"] },
     { name = "qdrant-client" },
-    { name = "typer" },
 ]
 
 [package.dev-dependencies]
@@ -515,7 +514,6 @@ requires-dist = [
     { name = "fastembed", specifier = ">=0.6.0" },
     { name = "mcp", extras = ["cli"], specifier = ">=1.3.0" },
     { name = "qdrant-client", specifier = ">=1.12.0" },
-    { name = "typer", specifier = ">=0.15.2" },
 ]
 
 [package.metadata.requires-dev]