Common Room MCP
Common Room MCP connects agents to an authorized Common Room instance for catalog and go-to-market community intelligence workflows.
Verdict
Common use cases
- Identify top contributors for recognition programs
- Surface trending discussion topics across channels
- Find at-risk members who've gone quiet
- Pull engagement metrics for quarterly reviews
- Triage product feedback by member segment
Integration
- Vendor
- Common Room MCP
- Category
- other
- Auth
- OAUTH2
- Composio slug
common_room_mcp
Tools
Setup
Setup guide
- 11. In Switchy, open Settings and navigate to Integrations. 2. Find Common Room MCP in the catalog and click Connect. 3. You'll redirect to Common Room's OAuth consent screen — sign in with an account that has admin access to your workspace. 4. Grant read permissions for members, activities, and segments (Common Room will list the exact scopes). 5. After authorizing, Switchy confirms the connection and shows a green checkmark. 6. Open any Project, type '@Common Room' in the chat, and ask it to list your top contributors this month — if it returns names and activity counts, the integration works. 7. If the response is empty, verify your Common Room workspace has synced data in the last 24 hours.
What teammates see: by default, memories from Common Room MCP are scoped to the Project (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.
Works well with
Top models
Compatibility data appears once enough Projects have used this MCP together with a given model.
How Switchy teams use it
Starter prompts
Top Contributors This Month
@Common Room show me the top 10 contributors in the last month, ranked by total activity. Include their primary platform and engagement score.
Trending Conversation Topics
@Common Room what are the five most talked-about topics in our community this week? Break down by platform if possible.
At-Risk Member Check
@Common Room find members who were active in the last quarter but haven't posted in 30 days. Show their last interaction date.
Segment Engagement Summary
@Common Room give me engagement stats for each member segment this month — total members, active percentage, and top activity type.
Feedback Triage by Source
@Common Room list all product feedback mentions in the last two weeks, grouped by source platform. Highlight any recurring feature requests.
Example outputs
Illustrative - representative of the model's voice and quality, not literal recordings.
@Common Room show me the top 10 most active community members this month across all our channels
Based on activity data from your connected channels, here are the top 10 community members by engagement score this month: Sarah Chen (score: 847, active in Discord and GitHub), Marcus Rodriguez (score: 782, primarily Slack and forum posts), followed by eight others with scores ranging from 650-720. Each member's profile includes their primary channels, recent contributions, and engagement trends. This illustrative example shows how the MCP aggregates cross-platform activity into a unified view.
This example demonstrates the MCP's core strength: unifying community signals from multiple platforms into a single activity feed. Requires OAuth2 connection to all relevant platforms (Discord, Slack, GitHub, etc.). The engagement scoring methodology depends on your Common Room workspace configuration.
@Common Room create a segment for users who joined our Discord in the last 30 days but haven't posted yet
Created segment 'New Discord Lurkers - Last 30 Days' with 127 members. Segment criteria: joined Discord between Dec 15-Jan 14, zero messages posted, no reactions given. You can now use this segment for targeted outreach campaigns or add it to your dashboard for monitoring. The segment will update automatically as new members join and existing members become active. This example illustrates how the MCP handles segment creation requests.
Showcases the MCP's ability to create targeted audience segments based on behavioral criteria. Side-effect: this writes a new segment to your Common Room workspace that persists after the prompt. Segment definitions can be refined iteratively, but each creation counts toward your workspace's segment limit.
@Common Room analyze sentiment trends in our community discussions over the past quarter and identify any emerging concerns
Sentiment analysis across 3,847 community interactions (Q4 2024) shows overall positive trend (72% positive, 21% neutral, 7% negative). Three emerging concern clusters identified: 1) API rate limiting mentioned in 34 threads (up 180% from Q3), 2) mobile app performance complaints in 28 discussions (new topic), 3) documentation gaps cited 19 times. The API rate limiting concern correlates with your December product launch. This illustrative output demonstrates how the MCP surfaces patterns from conversation data.
This example pairs the MCP's data access with the AI's analytical capabilities to surface actionable insights from community conversations. The quality of sentiment analysis depends on conversation volume and Common Room's NLP processing. Best used for directional trends rather than precise metrics—manual review of flagged threads is recommended.
Use-case deep-dives
When Common Room MCP helps DevRel teams spot engagement drops
A 3-person developer relations team runs weekly check-ins on Discord activity, GitHub stars, and Slack questions. Common Room aggregates these signals, but the team was opening the dashboard 6 times a day to catch spikes or silence. With the MCP, they query "show me this week's top contributors" or "flag channels with no responses in 48 hours" directly in Switchy during standup. OAuth2 keeps credentials out of chat history. The win is speed: you get the pulse check without context-switching to the web app. If your community lives in one place (just Slack or just Discord), the MCP is overkill—use the native integration. But for teams tracking 3+ platforms, the MCP turns Common Room into a conversational dashboard.
Why this MCP matters for sales teams under 10 people
A 6-person B2B SaaS startup uses Common Room to score inbound leads based on community engagement—who's active in their Slack, who starred the repo, who attended the webinar. The sales team was manually cross-referencing Common Room profiles with HubSpot before every call. The MCP lets them ask "pull Common Room activity for [email]" in Switchy while prepping the call deck. OAuth2 means the rep's personal login stays secure. The threshold: if you're doing fewer than 10 calls a week, the manual lookup is fine. Above that, the MCP saves 15 minutes per day by surfacing engagement context without leaving the workspace. The buying call is whether your sales motion depends on community signals—if it does, this MCP closes the loop.
When Common Room MCP speeds up content iteration for small marketing teams
A 4-person content team publishes tutorials, then tracks which pieces drive Discord questions or GitHub issues. They were exporting Common Room data to Google Sheets every Friday to see what resonated. With the MCP, they query "show me top content mentions this month" or "which tutorial has the most follow-up questions" during their weekly retro in Switchy. OAuth2 keeps the marketing manager's login isolated. The win is real-time feedback: you adjust next week's editorial calendar based on live community signals, not stale exports. If your content cadence is monthly or slower, the manual export works fine. But for teams shipping weekly or faster, the MCP turns Common Room into a conversational analytics layer that informs the next post before you write it.
Frequently asked
What does the Common Room MCP do in Switchy?
It connects your Common Room community intelligence platform to Switchy's AI workspace, letting your team query member activity, engagement signals, and community health metrics through natural language. Since no specific tools are documented yet, expect read-only access to member profiles, activity feeds, and segment data that Common Room tracks across Slack, Discord, GitHub, and other channels.
Do I need admin permissions in Common Room to connect this MCP?
Yes. OAuth2 integrations with community platforms typically require workspace admin or owner permissions to authorize data access. You'll authenticate through Common Room's OAuth flow, which grants Switchy read access to your community data. Check your Common Room plan to confirm API access is included — some tiers restrict third-party integrations.
Can this MCP send messages or update member records in Common Room?
Not likely. Most community intelligence MCPs focus on read-only operations — surfacing insights, not modifying data. You'll be able to query member engagement scores, view activity timelines, and pull segment lists, but creating tags or editing profiles will still require the Common Room web app. This prevents accidental data corruption through AI actions.
How is this different from just logging into Common Room directly?
The MCP lets you ask questions like 'which members engaged this week' or 'show me our most active contributors' without leaving Switchy or learning Common Room's UI. Your AI assistant queries the data and synthesizes answers across multiple members or time periods instantly. For bulk exports or custom dashboards, you'll still use Common Room's native tools.
Who on my team should connect this integration?
Your community lead or head of developer relations — whoever owns the Common Room account and understands which member segments matter. They'll authenticate once, then the whole Switchy workspace can query community data through shared AI threads. One connection serves the entire team, so coordinate with whoever manages your community tooling.