Milvus (Open-Source Vector Database) MCP Server for Google ADK 7 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Milvus (Open-Source Vector Database) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="milvus_open_source_vector_database_agent",
instruction=(
"You help users interact with Milvus (Open-Source Vector Database) "
"using 7 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Milvus (Open-Source Vector Database) MCP Server
Connect your Milvus instance to any AI agent and take full control of your high-performance vector search, embedding storage, and scalar data management through natural conversation.
Google ADK natively supports Milvus (Open-Source Vector Database) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Vector Search Orchestration — Execute Approximate Nearest Neighbor (ANN) searches against your collections by providing raw embedding vectors to retrieve semantically relevant matches directly from your agent
- Scalar Query Filters — Use sophisticated scalar expressions to filter entities by structured fields (e.g., tags, IDs, dates) alongside your vector search for precise data retrieval
- Collection Lifecycle Audit — List all managed vector collections and retrieve detailed schema definitions, including dimensions, primary keys, and index types natively
- Performance Statistics — Extract real-time metrics for your collections, including entity counts and physical memory usage, to monitor the health of your vector store
- Precision Retrieval — Fetch specific vector items by their primary keys, bypassing standard semantic boundaries to audit exact data points securely
- Data Management — Irreversibly delete specific vector records using primary identifiers to maintain a clean and optimized search index across your Milvus instance
The Milvus (Open-Source Vector Database) MCP Server exposes 7 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Milvus (Open-Source Vector Database) to Google ADK via MCP
Follow these steps to integrate the Milvus (Open-Source Vector Database) MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 7 tools from Milvus (Open-Source Vector Database) via MCP
Why Use Google ADK with the Milvus (Open-Source Vector Database) MCP Server
Google ADK provides unique advantages when paired with Milvus (Open-Source Vector Database) through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Milvus (Open-Source Vector Database)
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Milvus (Open-Source Vector Database) tools with BigQuery, Vertex AI, and Cloud Functions
Milvus (Open-Source Vector Database) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Milvus (Open-Source Vector Database) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Milvus (Open-Source Vector Database) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Milvus (Open-Source Vector Database) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Milvus (Open-Source Vector Database) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Milvus (Open-Source Vector Database)
Milvus (Open-Source Vector Database) MCP Tools for Google ADK (7)
These 7 tools become available when you connect Milvus (Open-Source Vector Database) to Google ADK via MCP:
delete_entities
Irreversibly delete specific vector records utilizing primary keys
describe_collection
Explore the explicit schema mapping and indexing definition of a Milvus collection
get_collection_stats
Get collection statistics bounding row counts natively
get_entities
Extract unique vector items bounding exactly by known Primary Keys
list_collections
Always query this first. List index collections tracked inside the Milvus Vector Database
query_entities
Query explicitly using scalar expressions to retrieve entities
search_vectors
Make sure to feed a strict explicit JSON Array matching exact dimensions. Search nearest vector neighbors matching implicit embedding inputs
Example Prompts for Milvus (Open-Source Vector Database) in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Milvus (Open-Source Vector Database) immediately.
"List all vector collections in my Milvus instance"
"Search collection 'text_knowledge_base' for vector: [0.1, -0.2, ...]"
"Show me the row count and memory stats for collection 'image_embeddings'"
Troubleshooting Milvus (Open-Source Vector Database) MCP Server with Google ADK
Common issues when connecting Milvus (Open-Source Vector Database) to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkMilvus (Open-Source Vector Database) + Google ADK FAQ
Common questions about integrating Milvus (Open-Source Vector Database) MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect Milvus (Open-Source Vector Database) to Google ADK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.