Bring Sensecore
to LangChain
Create your Vinkius account to connect SenseCore Platform to LangChain and start using all 11 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
- Subscribe to this server
- Log in to the SenseCore Console
- Navigate to API Management to obtain your API Key and Secret Key
- Identify your Organization ID and the target Project ID
- 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
Built-in capabilities (11)
Send a message to a SenseCore large language model
Define a new AI assistant
Add a message to a thread
Execute an assistant on a thread
Initialize a new conversation thread
Get complete configuration for an assistant
Check the status of an active assistant run
List all configured assistants
List uploaded files
Retrieve the message history of a thread
List all available SenseNova models
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with SenseCore Platform through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine SenseCore Platform MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across SenseCore Platform queries for multi-turn workflows
SenseCore Platform in LangChain
Why run SenseCore Platform with Vinkius?
The SenseCore Platform connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 11 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect SenseCore Platform using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
SenseCore Platform and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect SenseCore Platform to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
SenseCore Platform for LangChain
Every request between LangChain and SenseCore Platform is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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