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Alchemer MCP. Audit feedback and manage surveys via chat.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

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Just plug in your AI agents and start using Vinkius.

Alchemer. Manage your entire customer feedback lifecycle via AI. This server lets your agent list surveys, audit questions, get specific responses, and manage contact lists directly from chat.

It handles the whole feedback funnel—from initial design to final reporting—without needing to switch tools or write complex API calls.

What your AI agents can do

Get account usage

Checks your overall Alchemer account status and usage metrics.

Get question details

Retrieves technical metadata and details for a specific survey question.

Get response details

Gets the full data payload for an individual survey response.

+ 7 more capabilities included
Audit Survey Structure

Your agent lists all surveys and retrieves technical metadata and question details for auditing purposes.

Process Customer Responses

Your agent pulls individual or grouped survey submissions, allowing you to analyze specific user feedback in real time.

Manage Survey Assets

Your agent lists and retrieves details on contact lists, survey questions, campaigns, and reports used for distribution.

Track Account Status

Your agent checks the overall usage and status of your Alchemer account.

List All Surveys

Your agent retrieves a master list of every survey you have created in your account.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
Free for Subscribers

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AI Agent

Alchemer MCP Server: 10 Tools for Survey & Feedback

Use these tools to list surveys, audit questions, pull responses, and manage all aspects of your customer feedback data.

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get account usage

Checks your overall Alchemer account status and usage metrics.

get019d754b

get question details

Retrieves technical metadata and details for a specific survey question.

get019d754b

get response details

Gets the full data payload for an individual survey response.

get019d754b

get survey details

Retrieves technical metadata for an entire survey structure.

list019d754b

list contact lists

Lists and retrieves the names of contact lists used for survey distribution.

list019d754b

list survey campaigns

Lists all active and past survey distribution campaigns.

list019d754b

list survey questions

Retrieves a list of all questions within a specified survey.

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list survey reports

Lists all generated survey reports and campaigns for review.

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list survey responses

Lists the submissions of survey responses, providing a summary of the data available.

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list surveys

Retrieves a list of all surveys currently configured in your account.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

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Start building

Make Your AI Do More

Start with Alchemer, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
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  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

You've got the Alchemer MCP Server running, so your AI client can handle your whole customer feedback life cycle. You'll never have to jump between tabs or write some complex API call again. Your agent can manage everything from setting up the survey structure to pulling raw responses and checking reports, all right from your chat.

Audit Survey Structure: Your agent can list all surveys you've created and get the technical details for any specific survey question. You'll also get the full metadata for the whole survey structure.

Process Customer Responses: Your agent can list all survey responses, giving you a summary of what data's available. You can also get the full data payload for an individual survey response, or you can get the technical metadata for a specific question.

Manage Survey Assets: Your agent can list all surveys you've got in the account. It can also list all active and past survey distribution campaigns. You'll get a rundown of all generated survey reports and it can list the contact lists used for distribution.

List All Surveys: Your agent can list every survey you've got configured in the account.

Track Account Status: Your agent checks your overall Alchemer account status and usage metrics.

How Alchemer MCP Works

  1. 1 Subscribe to the Alchemer server and provide your API Token, Secret, and Region.
  2. 2 Tell your AI client what you need (e.g., 'Show me the responses for the Product Market Fit survey').
  3. 3 The agent uses the appropriate tool (like list_survey_responses) and returns the requested data directly to the chat.

The bottom line is, your agent talks to Alchemer and brings the survey data back to your chat window.

Who Is Alchemer MCP For?

This is for Product Managers who need to audit feature feedback flows, Data Analysts who need granular data for external reports, and Customer Experience Leads who need to quickly pinpoint specific customer sentiment. If your job involves turning unstructured customer comments into structured insights, this is for you.

Product Manager

Auditing survey question flows for feature feedback, or checking response counts to validate if a new feature needs more research.

Data Analyst

Retrieving granular survey data for external analysis. They use specific commands to pull data points for reports outside the Alchemer dashboard.

Customer Experience Lead

Quickly looking up specific customer responses to identify sentiment trends or find out why a particular user gave low satisfaction scores.

What Changes When You Connect

  • You can manage the whole feedback process without leaving your chat window. Instead of navigating 5 different tabs to see survey status, use list_surveys to get a master list immediately. This saves time and keeps your workflow in one place.
  • Stop manually cross-referencing data. By using list_survey_responses, you get a direct list of submissions, letting you quickly count responses or filter by completion status without running reports first.
  • Get deeper context on specific questions. If you're reviewing a survey, use get_question_details to check technical settings or metadata for a single question. This is faster than digging into the survey builder itself.
  • Control who gets the survey. Use list_contact_lists to see which mailing groups you're targeting. You can then use list_survey_campaigns to see if those contacts were actually targeted for a specific run.
  • Streamline reporting. You don't have to download a CSV just to count responses. Use list_survey_reports to list the reports, and get_survey_details to pull the core structure data needed for external analysis.
  • Maintain visibility. get_account_usage checks your account status instantly. This is crucial for knowing if your integration is working or if you're about to hit rate limits.

Real-World Use Cases

01

Need to audit a survey before launch

A Product Manager needs to check the flow of a new survey. They ask their agent to use list_surveys to find the draft, then run list_survey_questions to audit the questions. Finally, they use get_question_details on the 'NPS' question to ensure the scoring mechanism is correct. The agent gives them the full technical rundown.

02

Finding a specific user's feedback

A CX Lead receives a complaint about a feature. Instead of searching through months of reports, they ask their agent to use list_survey_responses and filter by date or survey ID. Then, they use get_response_details to pull the exact text and scores for that specific user. The problem is solved instantly.

03

Tracking a campaign failure

A Marketing Analyst runs a campaign that underperforms. They ask the agent to run list_survey_campaigns to see the campaign status. They then use list_contact_lists to verify that the correct list of users was used, confirming where the distribution failed.

04

Preparing data for a custom dashboard

A Data Analyst needs survey data for a BI tool. They use list_surveys to find the survey ID, then use list_survey_reports to get the report IDs, and finally use list_survey_responses to get a raw list of submissions. They then feed that structured data into their external tool.

The Tradeoffs

Treating the server like a database query tool

Trying to run 10 different, complex, sequential queries (e.g., getting survey details, then questions, then responses) one after the other, manually passing IDs and parameters for each step.

Don't call tools sequentially. Ask your agent for the outcome. For example, 'Get me all responses for the 'Product Market Fit' survey.' The agent handles the necessary calls, like list_surveys and list_survey_responses, automatically to deliver the final answer.

Forgetting to check the basics

Running a report and getting data, but not knowing if the survey structure itself was updated or if the contact list changed since the report was generated.

Always check the source metadata first. Use get_survey_details to verify the core survey structure, and use list_contact_lists to confirm the user group used for the campaign.

Over-relying on single-point reports

Assuming the report generated by Alchemer is the final word on a survey. You might miss granular details or need to combine data from multiple sources.

Pull the raw data yourself. Use list_survey_responses and get_response_details to get the raw, unfiltered data. This gives you maximum flexibility for external analysis.

When It Fits, When It Doesn't

Use this server if your primary need is managing the full lifecycle of customer feedback: designing surveys, tracking responses, and auditing the data structure. You're here to get insights from what people said. Don't use this if you just need to manage user accounts or billing. For account status, use get_account_usage or look at the billing system directly. If you only need to list contact names without checking campaign history, list_contact_lists is enough, but this server provides the necessary context (campaigns and reports) to understand why that list was used.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Alchemer. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_account_usage get_question_details get_response_details get_survey_details list_contact_lists list_survey_campaigns list_survey_questions list_survey_reports list_survey_responses list_surveys

Manual feedback audits are a nightmare of tabs and exports.

Today, auditing a survey means jumping between the survey builder, the campaign dashboard, and the results report. You export a CSV, open it in Excel, cross-reference it with a separate contact list, and then manually count how many responses are 'complete.' It’s slow, it’s error-prone, and it takes forever.

With the Alchemer MCP Server, you just talk to your agent. You tell it what you need—like 'Show me all incomplete responses for the Q3 survey.' The agent uses `list_survey_responses` and `get_response_details` to pull the exact data, right into your chat. No exporting, no clicking through dashboards.

Alchemer MCP Server: Manage feedback and surveys via chat.

The manual steps that disappear are: navigating to the report page, downloading the file, opening the file, and writing formulas to count partial responses. You also skip checking if the underlying survey structure is still valid.

The agent takes care of the workflow. It doesn't just pull data; it verifies the context. You use `get_survey_details` and `list_survey_questions` to confirm the structure *before* pulling responses. It’s a complete audit loop, and it happens in seconds.

Common Questions About Alchemer MCP

How do I list all my surveys using the Alchemer MCP Server? +

Use the list_surveys tool. This tool gives you a clean list of every survey in your account, letting you pick the right ID for the next steps.

Can I get specific customer responses using the Alchemer MCP Server? +

Yes, use list_survey_responses first to get a summary list of submissions. Then, use get_response_details with a specific ID to pull the full, raw data for one user.

What is the difference between `list_survey_questions` and `get_question_details`? +

list_survey_questions gives you a list of all questions in a survey. get_question_details pulls the full metadata and technical settings for one single question.

How do I check if my contact list is correct before running a campaign? +

First, use list_contact_lists to see the names of available lists. Then, you can use list_survey_campaigns to see which list was actually used in the campaign history.

Does the Alchemer MCP Server help with reporting? +

Yes. Use list_survey_reports to see what reports exist, and then use list_survey_responses to get the underlying raw data for your own custom reporting needs.

How does the `get_account_usage` tool help me monitor my subscription status? +

It checks your account status directly. This tool reports your current usage metrics, so you know exactly where you stand with your Alchemer API limits.

Can I use `get_survey_details` to compare metadata between two surveys? +

Yes, you can compare them by running the tool for both surveys and comparing the output. This lets you audit key metadata like dates or question counts side-by-side.

What information is included when I run `list_survey_reports`? +

It lists available reports and their identifiers. The output tells you which specific reports you can access and the scope of the data they cover.

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.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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