Common Room MCP for AI. Connect all user signals to one intelligence layer.

Q: How do I check if my API token is working with Common Room MCP?

You use the gettokenstatus tool. This function immediately verifies your connection and tells you if your credentials are active, saving you from failed operations later.

Q: Can I find all members who are 'At Risk' using Common Room MCP?

Yes, run the listsegments tool. This lets you filter and see exactly which users fall into defined behavioral groups like 'At Risk,' helping you prioritize outreach.

Q: What is the best way to update a member's profile using Common Room MCP?

Use the updatemember tool. This allows your agent to modify specific fields on an existing user record, ensuring all changes are tracked and applied correctly.

Q: Does Common Room MCP handle data deletion for GDPR?

Yes. The deletemember tool executes the removal of member records programmatically, fulfilling compliance requirements by managing deletions through your agent.

Q: Can I use the listmembers tool to filter users based on custom tags or groups?

Absolutely. When calling listmembers, simply provide a tag ID or segment name. This narrows down results immediately, letting you focus only on 'Power Users' or specific project teams.

Q: How do I safely remove an old integration using the deletewebhook tool?

Running deletewebhook requires confirming the webhook ID. This action removes the endpoint entirely, preventing any future data from being sent to that specific location.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Connect to your AI in seconds.

Common Room unifies user signals from Slack, Discord, GitHub, and social media into one place. It lets your agent track who's talking about you—or working with you—across every channel.

You can build a real-time view of community health, spot high-value advocates, or manage member data for compliance.

What your AI can do

Create member

Creates a brand-new community profile record for an individual user.

Create webhook

Configures and sets up a new outgoing data webhook connection to another system.

Delete member

Removes a member's profile from the system, fulfilling GDPR or privacy deletion requests.

+ 9 more capabilities included

Profile Management

Create, read, update, or delete individual member records using unified identity resolution across multiple platforms.

Signal Aggregation

Automatically ingest activity signals from social posts and internal tools to build a complete timeline for each user.

Audience Segmentation

List and analyze defined community groups, such as 'Highly Engaged' or 'At Risk', based on collective behavior metrics.

Webhooks & Compliance

Manage outgoing data feeds by configuring or deleting webhooks, and execute member deletions for compliance needs.

Ask an AI about this

Included with Plan

Waiting for input…

AI Agent

Common Room: 12 Tools for Community Intelligence

These tools let your AI client perform every major action needed for community management, from creating user records to ingesting activity signals.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Common Room on Vinkius

Create Member

Creates a brand-new community profile record for an individual user.

Create Webhook

Configures and sets up a new outgoing data webhook connection to another system.

Delete Member

Removes a member's profile from the system, fulfilling GDPR or privacy deletion...

Delete Webhook

Deletes an existing webhook connection when it is no longer needed.

Get Member

Retrieves all current details for a specific community member using their identifier.

Get Token Status

Checks the operational status and validity of your API token credentials.

Ingest Activity

Feeds new community activity signals, like a Slack post or social interaction, into a member's timeline.

List Members

Generates a full list of all active members currently in the system database.

List Segments

Retrieves a list and details of defined community segments, like 'At Risk' or 'Power...

List Tags

Lists all custom tags that have been assigned to members for grouping purposes.

List Webhooks

Shows a list of currently configured webhook connections and their status.

Update Member

Modifies or updates specific pieces of information on an existing member's profile record.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The Common Room integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "common-room-alternative": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Common Room tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"common-room-alternative": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

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 Common Room, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,000+ 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

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

VINKIUS INFRASTRUCTURE

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

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 connection provides 12 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Manually tracking who your best users are is brutal work.

Right now, figuring out which user is actually contributing requires jumping between five different platforms. You check Slack for mentions, then jump to GitHub commits, and finally cross-reference Discord activity. You spend hours copy-pasting data into a spreadsheet just to see if someone is 'Highly Engaged.'

With this MCP, your agent does that heavy lifting automatically. It pulls in every signal—the social post, the commit, the chat message—and gives you one consistent view of community health without you leaving your AI client.

Managing Member Data with Common Room

You used to have separate forms or backend systems for every user lifecycle event: creating an account, changing their status, deleting them. It was a messy, multi-step process that always failed halfway through.

Now, you simply tell your agent what needs to happen. If someone leaves the community, it runs `delete_member`. If they join, `create_member` handles it. The whole thing happens in natural conversation.

Support 24/7 support@vinkius.com ↗

Security Vinkius Trust Center ↗

SLA Service Level Agreement ↗

Report Listing Send Report ↗

What your AI can actually do with this

Your AI client connects to this MCP and acts like a dedicated relationship coordinator for your entire user base. It pulls in activity signals from all your platforms, giving you one consistent source of truth about who your members are and what they're doing.

Instead of juggling separate dashboards or manually reading logs, your agent can list and update profiles using unified identity resolution across channels like Slack and GitHub. You can monitor specific community groups—like those marked 'Highly Engaged' or 'At Risk'—to understand the overall health of your user base. It also handles the messy stuff, letting you delete member records programmatically to meet privacy rules.

Getting this connected through Vinkius means you don't have to build and maintain complex integrations; you just talk to it.

It’s about taking control of relationship intelligence conversationally. You get a complete picture of your community members and their activity signals without writing a single line of integration code.

Built · Hosted · Managed by Vinkius Common Room MCP - Unify Community Signals Across Platforms

Server ID 019dd0d5-89f3-71a4-9712-8cf119502e17

Vinkius Inspector

Compliance Grade A+

Score 100/100

Report View Report ↗

What Changes When You Connect

Stop manually checking logs. Use ingest_activity to feed new social interactions into a member's timeline, so your agent tracks community activity automatically.

Know who's worth talking to. You can use list_segments and list_tags to immediately filter for 'Highly Engaged' users or specific contributor groups.

Manage data compliance easily. When you need to fulfill a privacy request, the delete_member tool handles the removal programmatically.

Keep your systems talking. Use create_webhook and list_webhooks to manage automated data feeds between services without manual intervention.

Build accurate profiles fast. The agent can retrieve detailed member information using get_member and then update that profile via update_member in one go.

See it in action

01 01

Identifying key advocates before an event

A Product Manager needs a list of the top 50 contributors for a conference. They ask their agent to run list_segments and filter by 'Power User' tag, then use get_member on those results to get full contact details for outreach.

02 02

Responding to sudden drop-off in activity

The Ops team notices a spike in users going silent. They ask the agent to run list_segments, check for members flagged as 'At Risk', and then use get_member to determine which channels they were last active on.

03 03

Onboarding new enterprise clients

A Sales Engineer needs to provision 10 new accounts. They prompt the agent with a list of emails, triggering create_member for each one and immediately setting up an initial webhook using create_webhook.

04 04

Auditing data retention compliance

The legal team mandates removing all records associated with a departed employee. They instruct the agent to run list_members, identify the ID, and execute delete_member for full audit trail cleanup.

The honest tradeoffs

Using separate tools for simple updates

Anti-pattern

Manually running a command to update a member's email, then having to run another one to change their status.

The Fix

Don't call update_member twice. Group all changes into a single query: 'Update the profile for [ID] by changing their email and setting their status to Active.' This keeps your workflow clean.

Ignoring token status checks

Anti-pattern

The agent fails mid-process, returning an authentication error because the API key expired days ago.

The Fix

Always run get_token_status first. If it shows 'Inactive,' you know immediately to refresh your credentials before starting any complex operation.

Treating member data as static

Anti-pattern

Assuming a user's activity level hasn't changed and relying only on the initial profile details.

The Fix

Don't just use get_member. Always pair it with ingest_activity to make sure your view of that member is current, reflecting their latest social signal.

When It Fits, When It Doesn't

Use this MCP if your primary problem is unifying community data. This tool excels when you need to connect disparate sources—Slack, Discord, GitHub—into a single intelligence layer and manage the resulting user profiles. Don't use it if you only need basic CRM functions; for example, if all you do is email marketing, a simple contact list service will cut it. Use this MCP when you need identity resolution and signal processing. If you just need to read data without changing anything (like listing tags), list_tags works fine. But if you have to do something with that data—like creating a record or updating a status—this is the right place.

Questions you might have

How do I check if my API token is working with Common Room MCP? +

You use the get_token_status tool. This function immediately verifies your connection and tells you if your credentials are active, saving you from failed operations later.

Can I find all members who are 'At Risk' using Common Room MCP? +

Yes, run the list_segments tool. This lets you filter and see exactly which users fall into defined behavioral groups like 'At Risk,' helping you prioritize outreach.

What is the best way to update a member's profile using Common Room MCP? +

Use the update_member tool. This allows your agent to modify specific fields on an existing user record, ensuring all changes are tracked and applied correctly.

Does Common Room MCP handle data deletion for GDPR? +

Yes. The delete_member tool executes the removal of member records programmatically, fulfilling compliance requirements by managing deletions through your agent.

How do I use the create_webhook tool to set up automated data synchronization? +

You configure it by specifying the target URL and the data payload type. The MCP handles the handshake, sending real-time signals directly when a member profile changes or new activity is detected.

Is there a way to run the ingest_activity tool for large batches of historical records? +

Yes. You can pass batch parameters detailing the source platform and date range. This lets you backfill your member timelines and update engagement scores across years of activity.

Can I use the list_members tool to filter users based on custom tags or groups? +

Absolutely. When calling list_members, simply provide a tag ID or segment name. This narrows down results immediately, letting you focus only on 'Power Users' or specific project teams.

How do I safely remove an old integration using the delete_webhook tool? +

Running delete_webhook requires confirming the webhook ID. This action removes the endpoint entirely, preventing any future data from being sent to that specific location.

How do I find my Common Room API Token? +

What is the Person360™ engine? +

Person360™ is Common Room's identity resolution engine that unifies data from multiple platforms into one single member profile.

Can the agent ingest custom social signals? +

Yes! The ingest_activity tool allows you to push any user interaction into a member's community timeline programmatically.

Connect to your AI in seconds.

Create member

Create webhook

Delete member

Common Room: 12 Tools for Community Intelligence

Make your AI actually useful.

Create Member

Create Webhook

Delete Member

Delete Webhook

Get Member

Get Token Status

Ingest Activity

List Members

List Segments

List Tags

List Webhooks

Update Member

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Manually tracking who your best users are is brutal work.

Managing Member Data with Common Room

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

Identifying key advocates before an event

Responding to sudden drop-off in activity

Onboarding new enterprise clients

Auditing data retention compliance

The honest tradeoffs

Using separate tools for simple updates

Ignoring token status checks

Treating member data as static

When It Fits, When It Doesn't

Questions you might have