mcpField
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Faultline

Faultline

Remote
github.com/fltln-ioCloud & Infra0Updated 17w ago
Repository

About Faultline

Faultline’s remote MCP server lets DevOps and SRE teams inspect infrastructure health, manage incidents, check on-call schedules, and run approved runbooks through compatible AI agents. It is hosted by Faultline and requires no local installation.

Key features

  1. 01Service status and recent checks
  2. 02Incident inspection and updates
  3. 03On-call schedule lookup
  4. 04Latency anomaly review
  5. 05Incident action recommendations
  6. 06Approved runbook execution

Use cases

  1. 01Check service health during diagnosis
  2. 02Acknowledge or resolve incidents
  3. 03Find the current on-call responder
  4. 04Run a confirmed infrastructure runbook

MCP support

The hosted server exposes Faultline monitoring and incident-management tools to MCP clients over Streamable HTTP. Authentication uses an API key sent in a request header.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.fltln.io/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.fltln.io/mcpAuth required

Tools

Details

From the project 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

  1. Create an API key in Faultline: Settings → API Keys. Keys look like flt_....
  2. Point your MCP client at https://mcp.fltln.io/mcp, sending the key as either X-API-Key: flt_... or Authorization: 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

ToolWhat it does
list_servicesMonitor inventory with current status (optional status filter)
get_serviceOne service + its 10 most recent checks (for diagnosis)
list_incidentsOpen incidents (or status: "resolved" for history)
get_incidentFull incident record: timeline, AI summary, post-mortem
acknowledge_incidentAcknowledge an incident — stops further escalation
resolve_incidentResolve with an optional note (recorded on the timeline)
who_is_on_callCurrent on-call per schedule, with shift end time
list_anomaliesRecent learned-baseline latency anomalies (observed vs baseline, z-score, hours sustained, auto-opened incident if any)
diagnose_incidentRecommend the next action (run runbook / escalate / resolve / wait) + candidate runbooks. Analysis only — changes nothing
run_runbookExecute 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_runbook is the only tool that changes infrastructure. Its description instructs the calling agent to use it only after diagnose_incident recommended 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: [email protected] or the Faultline dashboard.

Comments

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