- INVENTORY
- DETAILS
- HISTORY
- HUMAN
Short answer
How can I track and manage my Relevance AI agents?
You can pull a full list of your agents, look up specific metadata for any individual agent, and review their recent execution history. This gives you a clear view of how your autonomous workflows are performing.
Your agent's visibility.
Where your data lands.
Your AI uses Relevance AI tools to surface these specific insights.
INVENTORY
View all agents
The AI pulls a complete list of every agent in your account. You'll see exactly what's running in your workspace.
DETAILS
Inspect agent metadata
Get specific configuration data for a single agent. This helps you verify settings and parameters.
HISTORY
Review execution logs
Check the recent history of agent runs. You can see what happened during recent tasks to catch errors early.
HUMAN
Manual intervention
The AI provides the data, but you must go to the Relevance AI dashboard to edit or delete an agent.
The workflow
What your AI does when the request arrives.
Your agent acts as a bridge between your chat interface and your Relevance AI workspace.
Identify agents
The AI scans your account to find all available autonomous agents.
list_agentsFetch settings
Once you pick an agent, the AI pulls its specific metadata and configuration details.
get_agent_detailsAudit activity
The AI looks up the most recent runs to see how the agents have been behaving.
list_executionsReport status
The AI summarizes the list, the details, and the history into a readable format for you.
list_executions
Try it
Copy these to start.
Use these prompts to begin interacting with your Relevance AI data.
Starting points
These are opening lines. Swap out the agent names or specific task types to get more precise answers.
Relevance AI Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_iFwRUZhAj5suaTidWNZC08UUh2XO1rOjS6rvlZqI/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 — Relevance AI capabilities are ready to use.
{
"mcpServers": {
"relevance-ai-alternative-mcp": {
"url": "https://edge.vinkius.com/vk_preview_iFwRUZhAj5suaTidWNZC08UUh2XO1rOjS6rvlZqI/mcp"
}
}
}List all my agents so I can see what is currently active.
Show me the metadata for my 'Lead Researcher' agent.
Check the recent execution history for the 'Email Drafter' agent.
Are there any recent failed executions in my agent list?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Relevance AI once, then ask.
Just link your account once. Your credentials stay encrypted, and you can immediately start asking questions about your agents.
Connect Relevance AI to your AIFAQ
How this task behaves.
- 01
Can my AI change the settings of an agent?
No. The AI can only read agent metadata and execution history. You must make configuration changes directly in Relevance AI.
- 02
Can the AI delete an agent if it's malfunctioning?
No. The AI has no permission to delete or modify agents. It only provides visibility so you can decide what to do.
- 03
How far back can the AI see in the execution history?
The AI can only see the recent execution history provided by the connector.
- 04
Can I see which specific user triggered an agent run?
The AI can only report on the data available in the execution logs provided by the connector.
- 05
Does the AI know about agents I haven't created yet?
No. The AI only knows about the agents currently existing in your Relevance AI account.
More questions about Relevance AI? The Connector page answers them. See everything the Relevance AI Connector can do
Connect Relevance AI to Claude, Cursor, ChatGPT & more
