SenseCore Platform Connector for AI agents.
11 live capabilities
Orchestrate SenseTime foundation models and GPU compute resources.
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Why people use SenseCore Platform
SenseCore Platform for GPU Cluster Management
This Connector puts that data where you actually work. You can ask your agent for a status update on your inference tasks or check your project's quota usage with a single command. It turns a manual monitoring slog into a quick conversation.
What Vinkius changes
You get a programmatic bridge to SenseTime's industrial AI infrastructure.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking training job status
An ML Ops engineer needs to know if a training job is still running.
- Real-world use case 02
Finding available models
A developer needs to see which models are available for a new project.
- Real-world use case 03
Building a custom support bot
An enterprise team wants to build a custom support bot.
Complete set · 11capabilities
The complete SenseCore Platform capability set.
These are the exact actions your AI can choose when you ask it to work with SenseCore Platform.
01—04
4 capabilities in this set.
Part of 11 available through SenseCore Platform.
- 01 Capability
Get run status
Check the status of an active assistant run. This is useful for seeing if a long-running task is still processing.
- 02 Capability
List files
List uploaded files. This allows you to see all the documents or data files attached to your project.
- 03 Capability
List messages
Retrieve the message history of a thread. Use this to pull back all previous interactions for context.
- 04 Capability
List models
List all available SenseNova models. This shows you every foundation model you can call from your project.
05—08
4 capabilities in this set.
Part of 11 available through SenseCore Platform.
- 05 Capability
Create assistant
Define a new AI assistant. This lets you set up specific personalities or instructions for different tasks.
- 06 Capability
Create run
Execute an assistant on a thread. This triggers the assistant's logic to process a specific conversation.
- 07 Capability
Create thread
Initialize a new conversation thread. Use this to start a fresh interaction with a clean context.
- 08 Capability
Get assistant details
Get complete configuration for an assistant. Use this to check the specific settings and parameters of your active assistants.
09—11
3 capabilities in this set.
Part of 11 available through SenseCore Platform.
- 09 Capability
List assistants
List all configured assistants. Use this to see every assistant you've built within your project.
- 10 Capability
Create message
Add a message to a thread. This helps you append new information or prompts to an ongoing conversation.
- 11 Capability
Chat completions
Send a message to a SenseCore large language model. Use this to get direct responses from SenseTime's foundation models.
Set up in minutes
One URL. Then ask SenseCore Platform to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use SenseCore Platform from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_WGerX5EoMF3cLaPImYP34A8UFoRYYgmvQyPkRFRu/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it SenseCore Platform, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable SenseCore Platform for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_WGerX5EoMF3cLaPImYP34A8UFoRYYgmvQyPkRFRu/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the SenseCore Platform URL.
- Step 03
Save and start
Save the connection and enable SenseCore Platform in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"sensecore-platform": {
"url": "https://edge.vinkius.com/vk_preview_WGerX5EoMF3cLaPImYP34A8UFoRYYgmvQyPkRFRu/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using SenseCore Platform
Open Agent mode in chat and ask: "Using SenseCore Platform, help me...". 11 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"sensecore-platform": {
"url": "https://edge.vinkius.com/vk_preview_WGerX5EoMF3cLaPImYP34A8UFoRYYgmvQyPkRFRu/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using SenseCore Platform
Ask Copilot: "Using SenseCore Platform, help me...". 11 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"sensecore-platform": {
"url": "https://edge.vinkius.com/vk_preview_WGerX5EoMF3cLaPImYP34A8UFoRYYgmvQyPkRFRu/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using SenseCore Platform
Open Cascade and ask: "Using SenseCore Platform, help me...". 11 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"sensecore-platform": {
"url": "https://edge.vinkius.com/vk_preview_WGerX5EoMF3cLaPImYP34A8UFoRYYgmvQyPkRFRu/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using SenseCore Platform
Ask Cline: "Using SenseCore Platform, help me...". 11 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add sensecore-platform --transport http "https://edge.vinkius.com/vk_preview_WGerX5EoMF3cLaPImYP34A8UFoRYYgmvQyPkRFRu/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using SenseCore Platform
Ask Claude: "Using SenseCore Platform, show me...". 11 tools are ready
Where the request belongs
Work SenseCore Platform can move forward.
This is for the ML Ops engineer who's tired of checking GPU clusters at 2am and the infrastructure lead who needs to track project quotas across a massive team.
ML Ops Engineer
Monitors GPU utilization and checks model health to ensure production stability on a daily basis.
Infrastructure Engineer
Manages compute resource availability and handles large-scale inference scaling for enterprise apps.
Enterprise AI Developer
Automates the deployment of SenseTime models into custom business applications without manual overhead.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsGroq
Run large language models at unprecedented speed with custom LPU hardware that delivers real-time AI inference at massive scale.
Anthropic
Access Claude models via Anthropic API. send messages, count tokens, manage batches and discover models from any AI agent.
Eden AI
Equip your AI agent to manage unified AI workflows, track providers, and monitor API usage via the Eden AI platform.
Cerebras Inference
Access lightning-fast AI inference via Cerebras Wafer-Scale Engine. generate chat completions, manage models, and run batch jobs at record speeds.
Forefront
Access Forefront AI models directly from your agent. generate chat completions, manage fine-tuning jobs, and collect LLM outputs with pipelines.
SambaNova (AI Inference)
High-speed AI inference for Llama 3, DeepSeek, and MiniMax models via SambaNova's ultra-fast SN40L chips.
Bring your own AI
Change the model, client or framework. Keep SenseCore Platform connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about SenseCore Platform.
The practical details behind the request, access and result.
Can I use the SenseCore Platform MCP to manage my GPU cluster?
Yes. You can use it to monitor compute node availability and check real-time health metrics like latency and uptime directly through your AI client.
Does SenseCore Platform MCP work with SenseTime's foundation models?
It does. You can list all available SenseNova models and trigger chat completions using SenseTime's foundation models.
How do I see my project's quota usage with SenseCore Platform MCP?
You can ask your agent to track quota consumption across your organizational projects to ensure you don't hit limits unexpectedly.
Can I create custom assistants using SenseCore Platform MCP?
Yes, the Connector includes capabilities to define new AI assistants and retrieve their full configurations to help build custom workflows.
Is SenseCore Platform MCP good for tracking long-running training jobs?
It's built for that. You can list and track the status of long-running training or inference tasks on the SenseCore infrastructure.
Can I see my message history through the SenseCore Platform MCP?
Yes. You can retrieve the full history of messages for any conversation thread to keep your AI agent in context.
Can I automatically list all available models in my SenseCore project?
Yes! Use the list_models capability. 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 capability 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 capability retrieves granular metrics on compute node utilization and remaining quota for your specific project environment.
One connection away
Give your agent a direct line to SenseCore Platform.
Connect SenseCore Platform once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available