- RANKING
- PROFILING
- AUDIT
- HUMAN
Short answer
How can I find my best community members using AI?
Your agent pulls the full member list and examines individual engagement data to find who is actually driving activity. You get a ranked list of high-value contributors. This breakdown shows you exactly how the agent processes that data.
Contributor insights
Where activity turns into profiles.
The agent turns community noise into clear, actionable data.
RANKING
Identify power users
The agent looks at engagement scores to find the people doing the most work. You get a clear hierarchy of who matters most.
PROFILING
Deep dive into activity
The agent pulls specific details for any member you flag. You'll see exactly what they've been working on lately.
AUDIT
Spot inactive accounts
By comparing activity history, the agent finds members who have dropped off. This helps you clean up your contributor list.
HUMAN
Personal outreach
The agent identifies the best candidates for rewards or roles. You decide who actually deserves the recognition.
The workflow
What your AI does when the request arrives.
The agent moves from a broad community view to specific individual profiles.
Gather the roster
The agent pulls every member currently in the community to establish a baseline.
list_membersAnalyze engagement
The agent looks at the activity history and scores for each person on the list.
list_membersBuild deep profiles
Once the agent finds a high-value user, it pulls their specific history and stats.
get_member_detailsSummarize findings
The agent organizes the data into a readable report of your top contributors.
get_member_details
Try it
Copy these to start.
Use these prompts to kick off the analysis.
Starting points
These are starting lines. Swap out the specific community or member names to match your actual data.
crowd.dev Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_KzT6JOx5UiAv6B8LY1QEP8rTac7DmzhmCh6DXtyq/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — crowd.dev capabilities are ready to use.
{
"mcpServers": {
"crowddev-lfx-cdp-mcp": {
"url": "https://edge.vinkius.com/vk_preview_KzT6JOx5UiAv6B8LY1QEP8rTac7DmzhmCh6DXtyq/mcp"
}
}
}List all members in the community and tell me who has the highest engagement score.
Find the top 5 contributors in the main repo and give me a summary of their recent activity.
Get the details for the user with the most recent engagement spike.
Who are the most active members in the project right now?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect crowd.dev once, then ask.
One connection links your agent to your community data. Your credentials stay encrypted, and you can start asking questions immediately.
Connect crowd.dev to your AIFAQ
How this task behaves
- 01
Can the AI change a member's engagement score?
No. The agent can only read existing data; it cannot modify scores or member profiles.
- 02
Can the AI delete members from the community?
No. This MCP is for reading and profiling, not for administrative deletions.
- 03
How does the agent know who is a 'top' contributor?
It uses the engagement scores and activity history provided by the community data.
- 04
Does the AI store my community data?
No. The agent accesses the data through the connection to answer your specific questions.
- 05
Can I use this to automatically reward users?
No. The agent identifies the candidates, but you must handle the actual rewards or actions yourself.
More questions about crowd.dev? The Connector page answers them. See everything the crowd.dev Connector can do
Connect crowd.dev to Claude, Cursor, ChatGPT & more
