DataScope MCP Server for Mastra AIGive Mastra AI instant access to 6 tools to Get Submission Pdf Url, Get Submissions With Metadata, List Available Forms, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect DataScope 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 DataScope app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 6 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: {
"datascope": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "DataScope Agent",
instructions:
"You help users interact with DataScope " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with DataScope?"
);
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 DataScope MCP Server
Connect your DataScope account to any AI agent and take full control of your mobile form data collection and field operations through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and DataScope tool infrastructure. Connect 6 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
- Submission Orchestration — List and retrieve form submissions (answers) programmatically, using powerful filters for form IDs, users, and date ranges
- Field Data Intelligence — Access detailed metadata for every submission, including question types and internal identifiers to coordinate data analysis
- Form & User Architecture — Retrieve complete directories of available forms and registered organization users to oversee team collaboration in the field
- Asset Retrieval — Programmatically retrieve secure PDF download URLs for specific form submissions to streamline reporting and auditing workflows
- Visual Monitoring — Access tracked locations and field data collection points directly through your agent to maintain high-fidelity operational transparency
The DataScope MCP Server exposes 6 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 6 DataScope tools available for Mastra AI
When Mastra AI connects to DataScope through Vinkius, your AI agent gets direct access to every tool listed below — spanning mobile-forms, field-inspections, data-collection, 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.
Get PDF URL for a submission
List submissions with detailed metadata
List available forms
You can filter by form ID or user ID. List form submissions (answers)
List all users in the organization
List tracked locations
Connect DataScope to Mastra AI via MCP
Follow these steps to wire DataScope 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 DataScope MCP Server
Mastra AI provides unique advantages when paired with DataScope through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add DataScope 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 DataScope 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
DataScope + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the DataScope MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query DataScope, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed DataScope as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query DataScope on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using DataScope tools alongside other MCP servers
Example Prompts for DataScope in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with DataScope immediately.
"List the last 5 form submissions for form ID '1024'."
"Show me all registered users in my DataScope organization."
"Get the PDF download link for submission ID 'ans_789'."
Troubleshooting DataScope MCP Server with Mastra AI
Common issues when connecting DataScope to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDataScope + Mastra AI FAQ
Common questions about integrating DataScope 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.