GetFeedback MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect GetFeedback through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"getfeedback": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "GetFeedback Agent",
instructions:
"You help users interact with GetFeedback " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with GetFeedback?"
);
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 GetFeedback MCP Server
Connect your GetFeedback account to any AI agent to automate your customer feedback and survey reporting workflows through the Model Context Protocol (MCP). GetFeedback is a powerful, mobile-friendly survey platform that helps brands collect and analyze customer sentiment in real-time. This MCP server enables you to retrieve survey results, monitor completion statuses, and trigger survey invitations directly through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and GetFeedback 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.
Key Features
- Survey Orchestration — List all active surveys in your account and fetch detailed structural metadata for each form.
- Real-time Response Tracking — Retrieve customer feedback as it arrives, including detailed answer payloads and completion timestamps.
- Advanced Filtering — List survey responses filtered by status (started, completed) or created after a specific date for targeted reporting.
- Automated Invitations — Trigger survey emails to a list of recipients programmatically from your chat interface.
- Identity Oversight — Access global profile information for the authenticated GetFeedback user to ensure correct account context.
- Data Connectivity — Verify your API connection and account health to maintain seamless feedback loops.
- Asynchronous Monitoring — Fetch high-level response counts and status metrics to track survey performance instantly.
The GetFeedback 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.
How to Connect GetFeedback to Mastra AI via MCP
Follow these steps to integrate the GetFeedback 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 12 tools from GetFeedback via MCP
Why Use Mastra AI with the GetFeedback MCP Server
Mastra AI provides unique advantages when paired with GetFeedback through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add GetFeedback 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 GetFeedback 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
GetFeedback + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the GetFeedback MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query GetFeedback, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed GetFeedback as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query GetFeedback on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using GetFeedback tools alongside other MCP servers
GetFeedback MCP Tools for Mastra AI (12)
These 12 tools become available when you connect GetFeedback to Mastra AI via MCP:
check_api_limits
Verify connectivity
get_my_identity
Get user identity
get_response_details
Get response metadata
get_survey_details
Get survey metadata
get_survey_stats
Get response count
list_completed_feedback
Filter for completed
list_feedback_page
Paginated responses
list_recent_feedback
Filter by date
list_survey_responses
List feedback data
list_surveys
List all surveys
send_survey_invites
Trigger survey email
verify_api_connection
Check connection
Example Prompts for GetFeedback in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with GetFeedback immediately.
"List all active surveys in my GetFeedback account."
"Show me the last 5 completed responses for survey '12345'."
"Send the 'Onboarding Survey' (ID: 98765) to ['user1@test.com', 'user2@test.com']."
Troubleshooting GetFeedback MCP Server with Mastra AI
Common issues when connecting GetFeedback to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGetFeedback + Mastra AI FAQ
Common questions about integrating GetFeedback 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 GetFeedback with your favorite client
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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 GetFeedback to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.