Integrate Common Room with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiAdd contact to segment on Common Room
Manually add a contact to a specific segment
Get contact by email on Common Room
Retrieve detailed information about a member by their email
Get contact tags on Common Room
Get tags associated with a specific member
Get organization details on Common Room
Retrieve details of a specific organization
Get segment status on Common Room
Retrieve status and member count for a specific segment
List activity types on Common Room
Retrieve a list of supported activity types in Common Room
List segment members on Common Room
List contacts that belong to a specific segment
List segments on Common Room
Retrieve a list of all segments in Common Room
Search contacts on Common Room
Search for contacts/members in your Common Room
Search organizations on Common Room
Search for organizations in Common Room
Security & Code Integrity Audit
Every tool in the Common Room 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
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.
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.
What is a segment in Common Room?
A segment is a group of contacts or organizations defined by specific criteria or manually curated. They help you target and analyze subsets of your community.
Common Room Capabilities for AI Assistants
Use Common Room with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
AI Semantic Routing for community growth
The Common Room toolkit provides structured tools for community growth. It enables conversational interfaces like Claude Code to query and modify data within your marketing automation infrastructure.
Autonomous contact segmentation via AI
Connect Common Room to your AI agents (Claude, ChatGPT, Cursor) to manage contact segmentation operations. The MCP server processes the underlying API requests and schema formatting for the marketing automation domain.
Common Room. 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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