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 AutoGen 11 tools — connect in under 2 minutes

Name: SenseCore Platform
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 11 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add SenseCore Platform as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

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

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="sensecore_platform_agent",
            tools=tools,
            system_message=(
                "You help users with SenseCore Platform. "
                "11 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use SenseCore Platform tools. Connect 11 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the SenseCore Platform MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 11 tools from SenseCore Platform automatically

Why Use AutoGen with the SenseCore Platform MCP Server

AutoGen provides unique advantages when paired with SenseCore Platform through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use SenseCore Platform tools to solve complex tasks

Role-based architecture lets you assign SenseCore Platform tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive SenseCore Platform tool calls

Code execution sandbox: AutoGen agents can write and run code that processes SenseCore Platform tool responses in an isolated environment

SenseCore Platform + AutoGen Use Cases

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

Collaborative analysis: one agent queries SenseCore Platform while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from SenseCore Platform, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using SenseCore Platform data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process SenseCore Platform responses in a sandboxed execution environment

SenseCore Platform MCP Tools for AutoGen (11)

These 11 tools become available when you connect SenseCore Platform to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

SenseCore Platform + AutoGen FAQ

Common questions about integrating SenseCore Platform MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call SenseCore Platform tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.