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Audienceful MCP. Manage audience data, fields, and automations 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

Audienceful MCP on Cursor AI Code Editor MCP Client Audienceful MCP on Claude Desktop App MCP Integration Audienceful MCP on OpenAI Agents SDK MCP Compatible Audienceful MCP on Visual Studio Code MCP Extension Client Audienceful MCP on GitHub Copilot AI Agent MCP Integration Audienceful MCP on Google Gemini AI MCP Integration Audienceful MCP on Lovable AI Development MCP Client Audienceful MCP on Mistral AI Agents MCP Compatible Audienceful MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Audienceful MCP Server manages your subscriber data, custom fields, and email automations directly through your AI client. It lets you create new people, update profiles, list all subscribers, and trigger complex marketing sequences—all via natural conversation.

What your AI agents can do

Create custom field

Adds a new custom data point to track information about your audience members.

Create person

Adds a brand new person to your audience, requiring at least an email address.

Delete custom field

Removes an existing custom data field from your audience structure.

+ 7 more capabilities included
Manage People Profiles

Create new subscribers, retrieve details for existing users, and update any profile information using a single conversation.

Define Audience Structure

List all existing custom data fields, or create and delete new ones to segment your audience data.

Run Marketing Automations

Manually trigger complex email sequences or workflows for any specific subscriber.

View Audience Lists

List all people, filtering by status or searching by a specific email address to get a full audience snapshot.

Analyze Report Data

List recent email send reports to check campaign performance and audience growth metrics.

Update Specific Records

Modify specific fields or status flags on an existing person's profile.

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

Audienceful MCP Server: 10 Tools for Marketing Automation

Manage your entire subscriber lifecycle—from creating new profiles to running complex automations and analyzing reports—all through natural language prompts.

create019d7555

create custom field

Adds a new custom data point to track information about your audience members.

create019d7555

create person

Adds a brand new person to your audience, requiring at least an email address.

delete019d7555

delete custom field

Removes an existing custom data field from your audience structure.

delete019d7555

delete person

Permanently removes a person from your audience list.

get019d7555

get person

Retrieves all details for a specific person when you provide their unique identifier.

list019d7555

list custom fields

Shows you every custom data field currently defined in your audience.

list019d7555

list people

Lists all people in your audience, allowing you to filter results by status or search for an email address.

list019d7555

list send reports

Retrieves a list of recent reports detailing email send performance.

trigger019d7555

trigger automation

Manually executes a marketing automation sequence for a specific person.

update019d7555

update person

Modifies the profile details or status of an existing person in your audience.

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.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Audienceful, 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
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • 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

Audienceful's MCP Server lets your AI client handle your entire subscriber list. You'll manage profiles, segment data, and run campaigns just by talking to it. You can use it to create_person a new subscriber, needing just an email address; you can get_person all the details for a person if you know their unique ID; and you can update_person their profile or status anytime.

Need to track more info? You can list_custom_fields every custom data field you've set up, or you can create_custom_field a brand new data point to track specific audience details. If a field is useless, you can delete_custom_field it.

To see who you're working with, you can list_people your entire audience, filtering by status or searching for an email; you can also delete_person a person when they're no longer part of your list.

Want to run a campaign? You can trigger_automation a complex email sequence for any specific person. You can check how your last campaigns did by running list_send_reports, which gives you a list of recent email send reports detailing performance. You can also update_person a person's profile or status when you need to make a specific record change.

How Audienceful MCP Works

  1. 1 Subscribe to the Audienceful MCP Server and enter your API Key.
  2. 2 Your AI client establishes a secure connection to the Audienceful API.
  3. 3 You issue a natural language command (e.g., 'Find all users in Texas with a lead score over 50'), and the agent runs the necessary tool calls to provide the result.

The bottom line is, you talk to your AI agent like it's already logged into Audienceful and has full access to your data.

Who Is Audienceful MCP For?

This is for the marketing operations specialist who gets stuck in the UI, manually exporting lists and pasting them into spreadsheets. It’s for the content creator who needs to check subscriber growth stats while drafting a newsletter. If your job involves making sure the right person gets the right email at the right time, this is for you.

Marketing Operations Specialist

Uses the server to programmatically trigger complex sequences, update user tags, and manage audience data across multiple campaigns.

Content Creator

Checks subscriber growth stats and manages newsletter lists in real-time while writing content, without leaving their primary editor.

Growth Engineer

Automates the creation of custom fields and maps data sources directly from their development environment or IDE.

What Changes When You Connect

  • See who's in the audience with list_people. Filter by status or search by email, getting a full list without leaving your chat window.
  • Set up new tracking data with create_custom_field. Define custom fields to segment users precisely, giving you more targeted campaigns.
  • Keep your user base current by using update_person. Change a person's profile or status on the fly, even if you don't have their ID handy.
  • Automate critical user journeys with trigger_automation. Manually run onboarding or welcome sequences for a specific person instantly.
  • Get a full performance snapshot by running list_send_reports. See recent campaign metrics without having to download and open a CSV.
  • Maintain data hygiene using delete_person. Permanently remove records when a subscriber leaves or is inactive.

Real-World Use Cases

01

Campaign Retargeting After a Lead Meeting

A sales rep meets a prospect and needs to segment them immediately. Instead of jumping to the CRM, they ask their agent: 'Find all people who attended the 'Product X' webinar.' The agent runs list_people and provides a clean list. The rep then asks the agent to update the field, 'Webinar Attended,' and tag them as 'High Value' using update_person.

02

Onboarding a New Employee Cohort

The marketing manager needs to launch the 'Welcome' sequence for 50 new hires. She prompts the agent: 'Trigger the 'New Hire Welcome' sequence for these 50 emails.' The agent runs trigger_automation for each email, ensuring the new cohort starts their journey without manual work.

03

Analyzing Campaign Performance Drift

The marketing analyst needs to know if the last newsletter actually hit the right people. They prompt the agent: 'List the last 10 send reports and summarize the open rate drop for Q3.' The agent runs list_send_reports, pulling the data and providing an immediate, actionable summary.

04

Audience Data Clean-up

A data governance officer spots stale records. They ask the agent: 'List all people who haven't been updated in over 90 days.' The agent runs list_people and provides the list. The officer reviews the list and asks the agent to use delete_person on the inactive records.

The Tradeoffs

Treating the AI like a search bar

Just typing 'TechCorp users' into the chat and waiting for a list. This is vague and often requires follow-up context, failing if the required filter isn't obvious.

Be specific and use the tools' structure. Ask: 'List all people where the Company custom field is set to TechCorp.' This directs the agent to run list_people with specific parameters.

Manually updating every field

Seeing a person's profile and realizing three fields are wrong, then having to click into the profile, update field A, then update field B, then update field C.

Use update_person in a single prompt. State: 'Update [email address] by setting the Job Title to Senior Manager and the Lead Score to 75.' The agent executes the update in one call.

Forgetting to define the field first

Trying to filter people by 'Company Name' when the field doesn't exist in Audienceful. The API fails, leaving you stuck.

Before querying, run list_custom_fields to confirm the field exists. If not, use create_custom_field first. This ensures your data structure supports your query.

When It Fits, When It Doesn't

Use this server if your primary bottleneck is coordinating actions across multiple marketing data points (e.g., 'I need to update a person AND trigger an email AND list the report'). You need a conversational interface that executes structured API calls. Don't use this if you just need to read data without any updates; in that case, a simple read-only reporting tool might be better. If your process involves complex, multi-step writes (e.g., 'On creation, set field A, then send email B'), you need to map that entire workflow out before implementation, as the tools are atomic actions, not workflow definitions themselves.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Audienceful. 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

create_custom_field create_person delete_custom_field delete_person get_person list_custom_fields list_people list_send_reports trigger_automation update_person

Manually managing subscriber lists is a nightmare.

Today, you check your CRM dashboard. You need to find all subscribers who signed up last month and whose job title is 'Director.' You have to filter by date, then filter by job title. Then, you download that list and open a separate spreadsheet to check their status—all clicks, all tabs, all copy-pasting.

With the Audienceful MCP Server, you just ask your agent: 'Find all subscribers who signed up last month and are Directors.' The agent runs the necessary tools, searches the data, and gives you a clean, actionable list right in the chat. Period.

Audienceful MCP Server: Triggering Automations

Normally, if a user hits a key milestone—say, they download a pricing guide—you wait for the automation workflow to kick in. If the workflow breaks, or if you need to send a special, one-off message, you're stuck. You have to manually go into the platform and trigger the sequence.

Now, you tell your agent: 'Trigger the 'Pricing Guide Follow-up' sequence for John Doe.' It runs the complex workflow instantly. You bypass the UI and control the sequence directly from your chat.

Common Questions About Audienceful MCP

How do I use the `list_people` tool to find specific users? +

You list people by specifying the criteria you want to filter by or the email address you're searching for. For example, 'List people who are marked as 'Lead' and live in New York.' This provides a filtered list of your audience.

What is the difference between `get_person` and `list_people`? +

get_person fetches all data for one specific person using their unique ID. list_people retrieves a list of multiple people, allowing for broad filtering and searching across your entire audience.

Can I use `trigger_automation` if I don't know the person's UID? +

No. trigger_automation requires a specific person ID. You must first use list_people or get_person to retrieve the necessary identifier before triggering the sequence.

How do I make a new segment field using `create_custom_field`? +

You use create_custom_field to define the field name and type. This makes the data point available for use in list_people or update_person later on.

What happens if I try to update a person using `update_person` with invalid data? +

The process fails, and the API returns a specific error code and message detailing which field caused the validation issue. You'll need to correct the data and re-run the update.

Can I use `delete_person` if the person has existing custom field associations? +

The system typically allows deletion, but it may warn you or require confirmation if the person is linked to active automations or data. Always check the audit logs first.

How do I list all custom fields using `list_custom_fields` if I don't know the exact field name? +

You don't need to know the exact name. The list_custom_fields tool fetches all defined fields, presenting them to your AI client for review and subsequent use.

Do I need to run `list_send_reports` to check campaign performance metrics? +

No. list_send_reports simply lists the raw reports. For analysis, you should use the agent to query and synthesize the data found in the reports.

Can the AI automatically update a subscriber's custom field values? +

Yes! By using the update_person tool, your agent can modify any existing custom field values for a specific subscriber identified by their email or ID in seconds.

How do I trigger an automation sequence for a new user? +

Simply ask the agent to run the trigger_automation action. You'll need to provide the slug of the automation and the target person's email address.

Does this integration allow for bulk deletion of my entire audience? +

No. The current toolset focuses strictly on managing individual subscriber records and queries. Destructive actions on the entire audience structure are not exposed to ensure your data remains secure.

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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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