Connect your AI assistant
Connect Claude, ChatGPT, Cursor, or any MCP client to your SuperOrgs organization. About a minute, no API keys.
MCP endpoint
https://app.superorgs.com/mcpAdd the connector
Pick your client and follow the steps. The endpoint is the same everywhere.
- 1
Open connector settings
In Claude, go to Settings, then Connectors. - 2
Add a custom connector
Choose Add custom connector and paste the endpoint.https://app.superorgs.com/mcp - 3
Connect and pick your org
Click Connect, sign in to SuperOrgs, and choose your organization on the consent screen. - 4
Ask something
Try “What did my agents do today?” Claude will call the right tools.
What you can ask
Ask in plain language. SuperOrgs picks the right tools and answers from your real workforce.
Tools reference
Every tool the server exposes, grouped by what it answers. Names are stable; descriptions come straight from the product.
| Tool | What it returns |
|---|---|
| Activity | |
activity_org_feed | Recent runs across every agent in the org, newest first, each with its Orion summary, status, and cost. |
activity_stats | Org-wide activity headline for the last 7 days: runs, active agents, errors, spend. |
activity_agent_runs | One agent's recent runs (including its linked deployments), newest first, with Orion summaries and cost. |
activity_run_events | The full event timeline for one run (messages, tool calls, cost), oldest first. |
activity_summarize_agent | A digest of what one agent recently did: its latest runs with Orion summaries plus 24h stats. |
| Workforce | |
agents_list | Every agent in the org: name, type, platform, status, owner, department, monthly cost. |
agents_get | One agent by id, with full detail. |
org_chart_departments | Departments with their human headcount, agent count, human-to-agent ratio, and monthly AI spend. |
| Costs | |
costs_summary | Monthly AI spend, human-equivalent cost, savings, and ROI across the org. |
cost_top_agents | The biggest-spend agents over the window, each with its real run cost in cents and its share of total spend. |
cost_anomalies | Agents whose run cost in the trailing window is at least 2x the equal-length window before it (a rate comparison, not a projection). New spenders with no prior baseline are flagged. |
| Health | |
agents_health | Per-agent run count, error count and rate, average duration, and idle time over the window, ranked worst-first to surface failing or stale agents. |
agent_errors_recent | The most recent failed runs across the org, newest first, each with the agent name, error message, cost, and time. |
run_forensics | One run's full story for debugging why it failed or what it did: the run header (status, error, cost, tokens, duration, summary) plus its complete event timeline. |
| Discovery | |
agent_search | Find agents by a substring of their name, title, description, or department. |
automation_gaps | Departments with active employees but little to no agent coverage, ranked by the widest gap, to show where deploying agents would help most. |
Two prompts ship with the tools: workforce_review for a weekly review and investigate_cost_spike for a spend spike. Three resources attach from your client's attachment menu: the org chart snapshot, an agent profile, and a run report.
Permissions and safety
- Your token is scoped to your organization. The org comes from the verified token, never from anything you type.
- Every tool runs the same permission checks as the app. Your role and owner scope are respected.
- Version 1 is read-only. Tools answer questions; actions come later.
Troubleshooting
- Tools list is empty or stale
- Remove the connector and add it again so your client refreshes the tool list.
- 401 or an auth loop
- Your session expired. Reconnect and sign in again.
- Connected but no data
- Check you picked the right organization on the consent screen.