Endorsal Testimonials MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Endorsal Testimonials through the 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: {
"endorsal-testimonials": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Endorsal Testimonials Agent",
instructions:
"You help users interact with Endorsal Testimonials " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Endorsal Testimonials?"
);
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 Endorsal Testimonials MCP Server
Integrate Endorsal, the fully automated testimonial collection platform, directly into your AI workflow. Manage your collected testimonials and customer ratings, track display widgets and website properties, monitor pending reviews and approval statuses, and oversee your social proof using natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and Endorsal Testimonials tool infrastructure. Connect 10 tools through the 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
- Testimonial Oversight — List and retrieve detailed content, customer ratings, and photos for all your collected testimonials.
- Widget Intelligence — Monitor display widgets and properties, resolving widget types and deployment identifiers across your brands.
- Approval Management — Access and approve pending testimonials, ensuring high-quality social proof is published instantly.
- Social Proof Auditing — Retrieve high-level summaries of review volumes, widget activity, and organizational social proof health instantly.
The Endorsal Testimonials MCP Server exposes 10 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 Endorsal Testimonials to Mastra AI via MCP
Follow these steps to integrate the Endorsal Testimonials 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 10 tools from Endorsal Testimonials via MCP
Why Use Mastra AI with the Endorsal Testimonials MCP Server
Mastra AI provides unique advantages when paired with Endorsal Testimonials through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Endorsal Testimonials 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 Endorsal Testimonials 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
Endorsal Testimonials + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Endorsal Testimonials MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Endorsal Testimonials, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Endorsal Testimonials as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Endorsal Testimonials on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Endorsal Testimonials tools alongside other MCP servers
Endorsal Testimonials MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Endorsal Testimonials to Mastra AI via MCP:
approve_pending_testimonial
Approve a pending testimonial for public display
get_endorsal_account_metadata
Retrieve metadata and limits for your Endorsal account
get_testimonial_details
Get full content and metadata for a specific testimonial
list_account_properties
List all properties (websites/brands) managed in your account
list_all_testimonials
List all testimonials collected in your Endorsal account
list_display_widgets
g. wall of love, badge), and unique identifiers. List all display widgets configured in your account
list_latest_testimonials
Identify the most recently collected testimonials
list_pending_testimonials
Identify testimonials that are currently awaiting approval
quick_social_proof_audit
Retrieve a high-level summary of testimonials and widget activity
search_testimonials_by_keyword
Search for testimonials using a customer name or testimonial keyword
Example Prompts for Endorsal Testimonials in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Endorsal Testimonials immediately.
"List all my collected testimonials."
"Show me the display widgets configured."
"Approve testimonial ID 'TEST-12345'."
Troubleshooting Endorsal Testimonials MCP Server with Mastra AI
Common issues when connecting Endorsal Testimonials to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpEndorsal Testimonials + Mastra AI FAQ
Common questions about integrating Endorsal Testimonials 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 Endorsal Testimonials 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 Endorsal Testimonials to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.