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title, short_description, description
| title | short_description | description |
|---|---|---|
| Google ADK | Connect Google Agent Development Kit agents to Qdrant via the Qdrant MCP Server for semantic memory, retrieval, and tool-augmented reasoning. | Use Qdrant with Google ADK agents through the Qdrant MCP Server, giving agents semantic memory and retrieval tools for storing and recalling information. |
Google ADK
Agent Development Kit (ADK) is an open-source, code-first Python framework from Google for building, evaluating, and deploying sophisticated AI agents. While optimized for Gemini, ADK is model-agnostic and compatible with other frameworks.
You can connect ADK agents to Qdrant using the Qdrant MCP Server, giving your agent the ability to store and retrieve information using semantic search.
Installation
pip install google-adk
Usage
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import StdioConnectionParams
from mcp import StdioServerParameters
QDRANT_URL = "http://localhost:6333"
COLLECTION_NAME = "my_collection"
root_agent = Agent(
model="gemini-2.5-pro",
name="qdrant_agent",
instruction="Help users store and retrieve information using semantic search",
tools=[
McpToolset(
connection_params=StdioConnectionParams(
server_params=StdioServerParameters(
command="uvx",
args=["mcp-server-qdrant"],
env={
"QDRANT_URL": QDRANT_URL,
"COLLECTION_NAME": COLLECTION_NAME,
}
),
timeout=30,
),
)
],
)
For available tools and configuration options, see the Qdrant MCP Server documentation.