Troubleshooting & FAQ
Connection & auth
Section titled “Connection & auth”The client can’t connect / “failed to connect”
Section titled “The client can’t connect / “failed to connect””- Confirm the URL is exactly
https://mcp.cloudquell.com/mcp(note the/mcppath; no trailing slash). - Health check (no auth):
curl -s https://mcp.cloudquell.com/healthshould return{"status":"ok","version":"0.1.0"}. If that fails, it’s a network/DNS issue on your side, not auth. - Make sure your client supports remote Streamable HTTP + OAuth. If it’s
stdio-only, use the
mcp-remotebridge (see Connecting).
mcp.cloudquell.com doesn’t resolve
Section titled “mcp.cloudquell.com doesn’t resolve”The domain is live. If it doesn’t resolve for you, it’s almost always local DNS caching or a network filter on your side — retry, flush your DNS cache, or try a different network. Nothing about your auth or org access changes.
Expired token / 401 Unauthorized
Section titled “Expired token / 401 Unauthorized”Access tokens last ~1 hour. Your client should refresh automatically; if it doesn’t,
reconnect / re-authenticate the connector. For the mcp-remote bridge, clear
its cached credentials (~/.mcp-auth/) and let it re-run the login. A 401 with a
WWW-Authenticate: Bearer … resource_metadata=… header is the normal “log in
again” signal.
403 / “insufficient_scope”
Section titled “403 / “insufficient_scope””You called a write tool with a read-only token. Reconnect and grant the
admin:write scope at the consent screen. See
Authentication. Note admin:write still doesn’t bypass your
CloudQuell role — admin-only actions need an admin account.
“confirmation_required: pass confirm:true”
Section titled ““confirmation_required: pass confirm:true””The write tool was called without confirm: true. This is the safety gate — tell
the agent to proceed explicitly (e.g. “yes, create it”) so it re-sends with
confirm: true.
403 Admin access required even though I have admin:write
Section titled “403 Admin access required even though I have admin:write”Scope governs read-vs-write at the MCP layer; the action still requires the right CloudQuell role server-side. If your account isn’t an org admin, admin-only operations (org rename, invites) are refused regardless of scope.
Data & results
Section titled “Data & results”A tool returns “no data” / an empty list for my org
Section titled “A tool returns “no data” / an empty list for my org”Usually expected, not an error:
- No alert rules / no triggered alerts / no saved reports — many orgs have none
configured.
list_alert_rules,list_triggered_alerts, andlist_saved_reportsreturn an empty list with a note; that’s normal. - A filter didn’t match. Service/account strings must match exactly
(
AmazonRDS, not “RDS”). Runget_metadatato see valid values, then retry. - The window has no spend. Widen the date range or drop
account_id/service.
query_costs says my view isn’t enabled
Section titled “query_costs says my view isn’t enabled”query_costs enables overview and detailed. For the other slices use the
dedicated tool: savings → get_savings, anomalies → list_anomalies, budget status
→ get_budget_status, tag coverage → get_tag_coverage, allocation →
get_allocation_breakdown, commitments → list_commitments. The error message
names the tool to use.
The result says "truncated": true
Section titled “The result says "truncated": true”The output exceeded the ~25k-token cap, so the tool withheld it and told you how to
narrow. Add a filter (service, account_id, integration_id), lower limit, or
keep response_format: "concise", then re-ask.
Numbers don’t match the dashboard
Section titled “Numbers don’t match the dashboard”Almost always a scope/timeframe mismatch. Expand the tool call to see the exact
filters and date range, confirm the currency and lastUpdated, and re-ask with
tighter scope. Trust the dashboard; see Validating responses.
A percentage shows as null
Section titled “A percentage shows as null”The prior-period base was zero, so the percentage is undefined (not “0%”). For anomalies this is the new-service case — spend appeared where there was none.
Data looks stale
Section titled “Data looks stale”Cost data is ingested daily, not in real time — there are no intra-day figures.
Check lastUpdated. With admin:write you can request a fresh pull via
trigger_integration_ingest.
Org & access
Section titled “Org & access”I belong to multiple organizations — which one does the agent use?
Section titled “I belong to multiple organizations — which one does the agent use?”Your active/primary org from your CloudQuell session. The org is not something the agent can pick. To work in another org, switch your active organization in CloudQuell and reconnect if needed.
Is this gated by my CloudQuell tier/plan?
Section titled “Is this gated by my CloudQuell tier/plan?”Tool access is governed by your OAuth scope and org role. The data you see matches what your CloudQuell plan surfaces in the dashboard — if a feature isn’t on your plan, the corresponding data may be empty. Contact CloudQuell about plan coverage.
Can I use this for a scheduled / headless agent?
Section titled “Can I use this for a scheduled / headless agent?”Yes — the interactive OAuth flow issues a long-lived refresh token, so a
scheduled agent can keep running after the initial login. Dedicated
service-account keys (cak_) for fully non-interactive setup are coming
soon.
Do I need to install or host anything? No — it’s a hosted remote MCP server. Add the URL to your client and sign in.
Do I need a client id or secret? No. The server provides Dynamic Client Registration; your client self-registers and uses PKCE.
Can the agent change my cloud resources? No. It reads CloudQuell’s ingested cost
data and can make scoped CloudQuell changes (budgets, invites, channels,
recommendation status) only with admin:write + confirm. It never touches your
AWS resources or credentials.
Does it store my prompts? No — see Security & privacy.
Which clients are supported? Claude (claude.ai, Desktop, Code), Cursor, Goose, Codex, and any MCP client supporting remote HTTP + OAuth. See Supported clients.
Still stuck? Run MCP Inspector to list tools and isolate whether it’s a connection, auth, or data issue, then contact CloudQuell support with the tool name and inputs you used.