Can I automatically list all available models in my SenseCore project?

Yes! Use the `list_models` tool. Your agent will retrieve a complete list of all SenseTime foundation models and specialized variants currently active in your account.

How do I check the health status of my deployed model services?

Use the `get_service_health` tool with the specific Service ID. The agent will return real-time metrics on availability, throughput, and average latency.

Can I monitor GPU resource utilization via the AI agent?

Yes! The `get_resource_usage` tool retrieves granular metrics on compute node utilization and remaining quota for your specific project environment.

SenseCore Platform MCP Server for Google ADK 11 tools — connect in under 2 minutes

Name: SenseCore Platform
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 11 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add SenseCore Platform as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="sensecore_platform_agent",
    instruction=(
        "You help users interact with SenseCore Platform "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 SenseCore Platform MCP Server

Connect your AI agents to the SenseCore Platform, the industrial-grade AI infrastructure by SenseTime. This MCP provides 10 tools to manage advanced foundation models, orchestrate large-scale chat completions, and monitor high-performance compute resources programmatically.

Google ADK natively supports SenseCore Platform as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 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

SenseChat Interaction — Trigger chat completions with SenseTime's foundation models using persistent context and history
Model Intelligence — List all available foundation models and retrieve granular technical specifications for each version
Resource Management — Monitor compute node availability and track quota consumption across your organizational projects
Service Monitoring — Check real-time health and latency metrics for deployed model services
Async Operations — List and track the status of long-running training or inference tasks on the SenseCore infrastructure

The SenseCore Platform MCP Server exposes 11 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 SenseCore Platform to Google ADK via MCP

Follow these steps to integrate the SenseCore Platform 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 11 tools from SenseCore Platform via MCP

Why Use Google ADK with the SenseCore Platform MCP Server

Google ADK provides unique advantages when paired with SenseCore Platform 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 SenseCore Platform

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 SenseCore Platform tools with BigQuery, Vertex AI, and Cloud Functions

SenseCore Platform + Google ADK Use Cases

Practical scenarios where Google ADK combined with the SenseCore Platform MCP Server delivers measurable value.

Enterprise data agents: ADK agents query SenseCore Platform and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine SenseCore Platform tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query SenseCore Platform regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including SenseCore Platform

SenseCore Platform MCP Tools for Google ADK (11)

These 11 tools become available when you connect SenseCore Platform to Google ADK via MCP:

chat_completions

Send a message to a SenseCore large language model

create_assistant

Define a new AI assistant

create_message

Add a message to a thread

create_run

Execute an assistant on a thread

create_thread

Initialize a new conversation thread

get_assistant_details

Get complete configuration for an assistant

get_run_status

Check the status of an active assistant run

list_assistants

List all configured assistants

list_files

List uploaded files

list_messages

Retrieve the message history of a thread

list_models

List all available SenseNova models

Example Prompts for SenseCore Platform in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with SenseCore Platform immediately.

"Chat with SenseChat-5 and ask 'Compare the features of traditional neural networks and transformers'."

"List all active models in project 'Research_AI_2024'."

"What is the health status of service ID 'svc_gpu_999'?"

Troubleshooting SenseCore Platform MCP Server with Google ADK

Common issues when connecting SenseCore Platform to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

SenseCore Platform + Google ADK FAQ

Common questions about integrating SenseCore Platform MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.