ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use SenseCore Platform with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Orchestrate SenseCore AI services. manage models, trigger chat completions, and handle compute resources directly from any AI agent.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 11 capabilities

The complete SenseCore Platform capability set.

These are the exact actions your AI can choose when you ask it to work with SenseCore Platform.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 11 available through SenseCore Platform.

  1. 01

    List files

    List uploaded files

  2. 02

    Create assistant

    Define a new AI assistant

  3. 03

    Create run

    Execute an assistant on a thread

  4. 04

    Create thread

    Initialize a new conversation thread

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 11 available through SenseCore Platform.

  1. 05

    List assistants

    List all configured assistants

  2. 06

    Create message

    Add a message to a thread

  3. 07

    Chat completions

    Send a message to a SenseCore large language model

  4. 08

    Get assistant details

    Get complete configuration for an assistant

Capability set03 / 03

09-11

3 capabilities in this set.

Part of 11 available through SenseCore Platform.

  1. 09

    Get run status

    Check the status of an active assistant run

  2. 10

    List messages

    Retrieve the message history of a thread

  3. 11

    List models

    List all available SenseNova models

Observed, not estimated

898ms average. Fast in production.

SenseCore Platform is checked daily against the live service.

Daily averagePeak 1084ms
Aug 20Today
Fastest day
738ms
Slowest day
1084ms
14-day trend
Slowing+19%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 11 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of SenseCore Platform, so you can see the experience inside your AI.

It does not authenticate your account with SenseCore Platform. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

SenseCore Platform Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_WGerX5EoMF3cLaPImYP34A8UFoRYYgmvQyPkRFRu/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — SenseCore Platform capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "sensecore-platform-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_WGerX5EoMF3cLaPImYP34A8UFoRYYgmvQyPkRFRu/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions SenseCore Platform owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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.