How do I find my Alchemer API Token and Secret?

Log in to Alchemer as an admin, navigate to **Account** > **Integrations** > **API Access**. You can generate and copy your `api_token` and `api_token_secret` there.

Which region should I choose?

Choose the region based on your account's data center: **US** (api.alchemer.com), **EU** (api.alchemer.eu), or **CA** (api.alchemer.ca).

Can I retrieve responses for a specific survey?

Yes! Use the `list_survey_responses` tool and provide the Survey ID. Your agent will retrieve the latest submissions, including timestamps and completion status.

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

Name: Alchemer
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 Alchemer through 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="Alchemer Assistant",
            instructions=(
                "You help users interact with Alchemer. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Alchemer MCP Server

Connect your Alchemer (formerly SurveyGizmo) account to your AI agent to unlock professional survey management and customer feedback orchestration. From auditing survey structures and questions to retrieving real-time responses and generating granular reports, your agent handles your feedback lifecycle through natural conversation.

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

What you can do

Survey Orchestration — List and retrieve details for surveys, including their current status and technical metadata
Question Management — List and audit survey questions to ensure your data collection is precisely configured
Response Auditing — Retrieve and analyze individual or aggregated survey responses directly from chat
Reporting & Campaigns — List and manage survey reports and campaigns to monitor your data distribution and analysis
Contact Oversight — List and manage contact lists used for targeted survey distribution

The Alchemer 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 Alchemer to OpenAI Agents SDK via MCP

Follow these steps to integrate the Alchemer 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 Alchemer

Why Use OpenAI Agents SDK with the Alchemer MCP Server

OpenAI Agents SDK provides unique advantages when paired with Alchemer 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

Alchemer + OpenAI Agents SDK Use Cases

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

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

Multi-agent orchestration: create specialist agents. one queries Alchemer, another analyzes results, a third generates reports

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

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

Alchemer MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Alchemer to OpenAI Agents SDK via MCP:

get_account_usage

Check account status

get_question_details

Get question metadata

get_response_details

Get response data

get_survey_details

Get survey metadata

list_contact_lists

List survey contacts

list_survey_campaigns

List distribution campaigns

list_survey_questions

List survey questions

list_survey_reports

List survey reports

list_survey_responses

List survey submissions

list_surveys

List account surveys

Example Prompts for Alchemer in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Alchemer immediately.

"List all active surveys in my Alchemer account."

"Show me the last 5 responses for survey ID 1234567."

"List all questions in the 'Customer Satisfaction' survey."

Troubleshooting Alchemer MCP Server with OpenAI Agents SDK

Common issues when connecting Alchemer 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.

Alchemer + OpenAI Agents SDK FAQ

Common questions about integrating Alchemer 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.