Integrate Appier with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet audience on Appier
Get details for a specific audience
Get campaign on Appier
Get specific marketing campaign details
Get campaign analytics on Appier
Get analytics and performance metrics for a campaign
List audiences on Appier
List all target audiences
List campaigns on Appier
List all AI marketing campaigns in Appier
List conversions on Appier
List tracked conversion events
List predictions on Appier
List available AI prediction models
List segments on Appier
List configured user segments
Security & Code Integrity Audit
Every tool in the Appier 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 I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Can my AI agent create new predictive models in Appier?
No. The MCP server is designed natively for reading data, fetching performance stats, analyzing segments, and understanding configurations. Creating complex models still requires the Appier Enterprise Console to ensure ML model safety.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Triggering Appier via Natural Language
Use Appier with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
Autonomous predictive analytics Strategies
The Appier MCP translates LLM intent into specific predictive analytics actions. Agents like Cursor use this to interface securely with your marketing automation infrastructure.
Scaling campaign management via MCP
Use the Appier MCP to manage campaign management requests. Models like Claude Code utilize this connection to perform reliable marketing automation updates.
Appier. 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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