Grid MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Check Api Health, Create New Operational Record, Get Authenticated User Profile, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Grid through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Grid app connector for Mastra AI is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"grid": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Grid Agent",
instructions:
"You help users interact with Grid " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Grid?"
);
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 Grid MCP Server
Connect your WorkOnGrid account to any AI agent and take full control of your field operations and operational data management through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Grid tool infrastructure. Connect 12 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
- Worksheet Orchestration — List all operational worksheets and retrieve detailed technical metadata and structures programmatically
- Field Data Capture — Create, update, and search for records within your worksheets to track inspections, asset status, and team productivity
- Operational Visibility — Monitor analytical dashboards and manage team member access to maintain high-fidelity oversight of your workflows
- Asset Tracking — List and manage supported asset types to ensure precise inventory management and field record accuracy
- System Monitoring — Check API health and manage outbound webhooks directly through your agent for reliable operational automation
The Grid MCP Server exposes 12 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.
All 12 Grid tools available for Mastra AI
When Mastra AI connects to Grid through Vinkius, your AI agent gets direct access to every tool listed below — spanning field-operations, data-digitization, worksheet-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify Grid API connectivity
g., a new inspection report) into a specific worksheet. Add a new record to a worksheet
Get authenticated user info
Get details for a specific worksheet
List active webhooks
List available dashboards
List all operational worksheets
List common asset categories
List organization users
List records from a worksheet
Delete a record from a worksheet
Modify an existing operational record
Connect Grid to Mastra AI via MCP
Follow these steps to wire Grid into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Grid MCP Server
Mastra AI provides unique advantages when paired with Grid through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Grid 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 Grid 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
Grid + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Grid MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Grid, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Grid as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Grid on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Grid tools alongside other MCP servers
Example Prompts for Grid in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Grid immediately.
"List all active worksheets in my Grid account."
"Add a maintenance record to 'ws_456' for 'Excavator EX01'."
"Show me the latest dashboard status for field operations."
Troubleshooting Grid MCP Server with Mastra AI
Common issues when connecting Grid to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGrid + Mastra AI FAQ
Common questions about integrating Grid 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.