How do I get an Endorsal API Key?

Log in to your Endorsal dashboard, navigate to **Account > API**, and you can generate or retrieve your unique API Key from there. Ensure you have an active plan that supports API access.

Can the agent approve testimonials?

Yes, you can use the approve_pending_testimonial tool to change the status of any pending review to 'Approved' directly via the agent.

Does the integration show customer photos?

You can retrieve testimonial metadata using the get_testimonial_details tool. While it provides image URLs and details, the actual photos are best viewed within the Endorsal dashboard or live widgets.

Endorsal Testimonials MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Endorsal Testimonials
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Endorsal Testimonials through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Endorsal Testimonials Assistant",
            instructions=(
                "You help users interact with Endorsal Testimonials. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Endorsal Testimonials"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 10 tools from Endorsal Testimonials through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Endorsal Testimonials, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Endorsal Testimonials MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Endorsal Testimonials

Why Use OpenAI Agents SDK with the Endorsal Testimonials MCP Server

OpenAI Agents SDK provides unique advantages when paired with Endorsal Testimonials through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Endorsal Testimonials + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Endorsal Testimonials MCP Server delivers measurable value.

Automated workflows: build agents that query Endorsal Testimonials, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Endorsal Testimonials, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Endorsal Testimonials tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Endorsal Testimonials to resolve tickets, look up records, and update statuses without human intervention

Endorsal Testimonials MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Endorsal Testimonials to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Endorsal Testimonials to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Endorsal Testimonials + OpenAI Agents SDK FAQ

Common questions about integrating Endorsal Testimonials MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.