Server data from the Official MCP Registry
Check infrastructure health, manage incidents, and run runbooks in Faultline.
About
Check infrastructure health, manage incidents, and run runbooks in Faultline.
Remote endpoints: streamable-http: https://mcp.fltln.io/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
Endpoint verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-fltln-faultline": {
"url": "https://mcp.fltln.io/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Faultline MCP Server
Faultline is infrastructure monitoring and incident
management for DevOps/SRE teams. This repo documents faultline-mcp —
Faultline's remote MCP server, which lets AI agents (Claude, Claude Code,
Claude Desktop, or anything MCP-compatible) operate Faultline: check
infrastructure health, inspect and act on incidents, look up who's on call,
and run approved runbooks.
This repo is documentation only. The server is hosted by Faultline at
https://mcp.fltln.io/mcp (Streamable HTTP transport) — there's nothing to
install or run yourself.
Setup
- Create an API key in Faultline: Settings → API Keys. Keys look like
flt_.... - Point your MCP client at
https://mcp.fltln.io/mcp, sending the key as eitherX-API-Key: flt_...orAuthorization: Bearer flt_....
Claude Code:
claude mcp add --transport http faultline-mcp https://mcp.fltln.io/mcp \
--header "X-API-Key: flt_..."
Clients that take raw JSON config (Claude Desktop, etc.):
{
"mcpServers": {
"faultline": {
"type": "http",
"url": "https://mcp.fltln.io/mcp",
"headers": { "X-API-Key": "flt_..." }
}
}
}
Tools
| Tool | What it does |
|---|---|
list_services | Monitor inventory with current status (optional status filter) |
get_service | One service + its 10 most recent checks (for diagnosis) |
list_incidents | Open incidents (or status: "resolved" for history) |
get_incident | Full incident record: timeline, AI summary, post-mortem |
acknowledge_incident | Acknowledge an incident — stops further escalation |
resolve_incident | Resolve with an optional note (recorded on the timeline) |
who_is_on_call | Current on-call per schedule, with shift end time |
list_anomalies | Recent learned-baseline latency anomalies (observed vs baseline, z-score, hours sustained, auto-opened incident if any) |
diagnose_incident | Recommend the next action (run runbook / escalate / resolve / wait) + candidate runbooks. Analysis only — changes nothing |
run_runbook | Execute one chosen runbook against an incident — mutates infrastructure (can restart/scale services) |
Security
- Scoped to your API key. The server never stores your key — it's used only for the duration of each request, proxied straight through to Faultline's API.
- Approval-gated mutation.
run_runbookis the only tool that changes infrastructure. Its description instructs the calling agent to use it only afterdiagnose_incidentrecommended it and you've explicitly confirmed. - Tenant-isolated. Every request is scoped to the tenant that owns the API key — one key can never see or affect another tenant's data.
Support
Questions or issues: support@fltln.io or the Faultline dashboard.
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