SenseCore Platform MCP Server for Mastra AI 11 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect SenseCore Platform through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"sensecore-platform": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "SenseCore Platform Agent",
instructions:
"You help users interact with SenseCore Platform " +
"using 11 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with SenseCore Platform?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and SenseCore Platform tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the SenseCore Platform MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 11 tools from SenseCore Platform via MCP
Why Use Mastra AI with the SenseCore Platform MCP Server
Mastra AI provides unique advantages when paired with SenseCore Platform through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add SenseCore Platform without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every SenseCore Platform tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
SenseCore Platform + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the SenseCore Platform MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query SenseCore Platform, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed SenseCore Platform as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query SenseCore Platform on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using SenseCore Platform tools alongside other MCP servers
SenseCore Platform MCP Tools for Mastra AI (11)
These 11 tools become available when you connect SenseCore Platform to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting SenseCore Platform to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSenseCore Platform + Mastra AI FAQ
Common questions about integrating SenseCore Platform MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect SenseCore Platform with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect SenseCore Platform to Mastra AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.