SenseCore Platform

SenseCore Platform MCP Connector for Claude

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Orchestrate SenseCore AI services — manage models, trigger chat completions, and handle compute resources directly from any AI agent.

11 tools Official Updated Jun 28, 2026 Official Vinkius Partner

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.

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

How it works

  1. Subscribe to this server
  2. Log in to the SenseCore Console
  3. Navigate to API Management to obtain your API Key and Secret Key
  4. Identify your Organization ID and the target Project ID
  5. Insert your credentials into the fields below to start managing your SenseTime AI infrastructure.

Who is this for?

  • Enterprise AI Developers — automate the integration of SenseTime's industrial models into custom applications
  • Infrastructure Engineers — monitor GPU cluster utilization and model service health programmatically
  • Machine Learning Ops — orchestrate and track large-scale inference tasks on the SenseCore platform
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11 tools expose this connector's capabilities to your AI agent.

create_assistant

Define a new AI assistant

get_assistant_details

Get complete configuration for an assistant

create_message

Add a message to a thread

chat_completions

Send a message to a SenseCore large language model

create_run

Execute an assistant on a thread

create_thread

Initialize a new conversation thread

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

See how to talk to your AI agent using SenseCore Platform.

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

Connecting to SenseCore engine... SenseChat-5 responded: 'While both are neural architectures, transformers use self-attention mechanisms to process sequential data in parallel, unlike RNNs...' Would you like me to go deeper into self-attention?

List all active models in project 'Research_AI_2024'.

Fetching model list for project 'Research_AI_2024'... I found 3 active models: 1. SenseChat-5 (Foundation), 2. SenseVision (Multimodal), 3. SenseAudio (Specialized). Which one would you like to interact with?

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

Querying service health metrics... Service 'svc_gpu_999' is currently 'Healthy'. Uptime: 99.98%, P99 Latency: 45ms, and Request Success Rate: 100% over the last 60 minutes.

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.

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