Integrate TextYess with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet campaign analytics on TextYess
Get analytics for a specific campaign
Get campaign conversions on TextYess
List orders generated by a campaign
Get campaigns delivery status on TextYess
Check campaigns deliverability
Get current user on TextYess
Get authenticated user profile
Get organization details on TextYess
Get organization information
Get product details on TextYess
Get details for a specific product
List ai conversations on TextYess
List AI agent interactions
List all orders on TextYess
List all conversational commerce orders
List configured webhooks on TextYess
List active webhooks
List connected integrations on TextYess
List connected e-commerce platforms
List marketing campaigns on TextYess
List WhatsApp marketing campaigns
List products on TextYess
List all synced products
Security & Code Integrity Audit
Every tool in the TextYess 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
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
How do I check the stock level for a product in my TextYess catalog?
Run the get_product_details query with your Product ID. The agent will retrieve the complete metadata, including current stock status synced from your e-commerce platform.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
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.
TextYess Capabilities for AI Assistants
Use TextYess with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
Next-Gen conversational commerce Operations
The TextYess integration allows Cursor and ChatGPT to securely fetch conversational commerce data. It handles the API requests required for productivity operations.
Next-Gen whatsapp marketing Operations
The TextYess connection gives ChatGPT direct access to whatsapp marketing tools. The integration handles the logic required for continuous productivity operations.
TextYess. 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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