How to Use the Exponential Smoothing Engine MCP in Mastra AI
Build resilient inventory workflows with the Exponential Smoothing Engine and Mastra AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Exponential Smoothing Engine MCP to Mastra AI
Create your Vinkius account to connect Exponential Smoothing Engine to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Mastra AI workflow integration
Add deterministic forecasting to your agent workflows. By using `calculate_exponential_smoothing`, you can trigger automated replenishment logic based on real-time trend analysis. This prevents the common issue of over-ordering. Your agent now has a mathematical basis for every decision it makes within the pipeline.
Conditional logic with forecasting
Use the output of the Exponential Smoothing Engine to drive branching paths. If the forecast hits a certain threshold, Mastra AI can automatically escalate the task to an admin. This setup removes the need for manual monitoring. Your workflows handle the math and the exceptions without you lifting a finger.
Automated retries for reliable forecasts
Mastra AI manages the connection to this MCP Server with built-in retries. If a calculation fails due to a network blip, the agent re-executes the job automatically. This ensures your forecasts are always available when the workflow needs them. Your inventory logic stays uninterrupted and accurate.
Set up Exponential Smoothing Engine MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All Exponential Smoothing Engine tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "exponential-smoothing-engine-mcp-client",
servers: {
"exponential-smoothing-engine-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "Exponential Smoothing Engine Agent",
model: openai("gpt-4o"),
instructions: "You have access to Exponential Smoothing Engine tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent Exponential Smoothing Engine transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Native V8. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
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lower AI costs
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Common questions about Exponential Smoothing Engine MCP in Mastra AI
Use it with your favorite AI tools
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