Integrate Audienceful with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate custom field on Audienceful
Create a new custom field for your audience members
Create person on Audienceful
You must provide at least an email address. Add a new person to your audience
Delete custom field on Audienceful
Delete a custom field
Delete person on Audienceful
Use with caution. Permanently remove a person from your audience
Get person on Audienceful
Get details for a specific person by their UID
List custom fields on Audienceful
List all custom fields defined in your audience
List people on Audienceful
You can filter by status or search for a specific email address. List all people in your Audienceful audience
List send reports on Audienceful
List recent email send reports
Trigger automation on Audienceful
Manually trigger an automation for a person
Update person on Audienceful
Update an existing person profile
Security & Code Integrity Audit
Every tool in the Audienceful MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
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.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Audienceful Capabilities for AI Assistants
Securely interface Claude Code, ChatGPT, and Cursor with the Audienceful API through semantic routing and standardized natural language triggers.
Secure newsletter automation Access for Agents
The Audienceful toolkit provides structured tools for newsletter automation. It enables conversational interfaces like Claude Code to query and modify data within your marketing automation infrastructure.
Scaling subscriber management via MCP
The Audienceful MCP integration translates natural language prompts into structured subscriber management queries. This allows agents to fetch and update marketing automation records securely.
Audienceful. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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