streamable-httpupdated 2mo ago
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.
What can you do with Faultline?
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.
Install
Add Faultline to your client. Pick the one you use.
claude mcp add --transport http faultline https://mcp.fltln.io/mcpcodex mcp add faultline --url https://mcp.fltln.io/mcp{
"mcpServers": {
"faultline": {
"url": "https://mcp.fltln.io/mcp"
}
}
}Add to `~/.cursor/mcp.json`, or `.cursor/mcp.json` for a single project.
{
"servers": {
"faultline": {
"type": "http",
"url": "https://mcp.fltln.io/mcp"
}
}
}Add to `.vscode/mcp.json` in your workspace.
{
"mcpServers": {
"faultline": {
"url": "https://mcp.fltln.io/mcp"
}
}
}Add to `claude_desktop_config.json`, then restart Claude Desktop.
{
"mcpServers": {
"faultline": {
"serverUrl": "https://mcp.fltln.io/mcp"
}
}
}Add to `~/.codeium/windsurf/mcp_config.json`.
10 tools
Faultline exposes 10 tools to a connected agent.
- 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)
Score
67 / 100
Good
- Documentation22/25
- Maintenance16/25
- Trust9/20
- Capability8/15
- Install experience12/15
- Documents what it does and how to connect
- Has a resolvable package or endpoint
- Exposes at least one tool, prompt or resource
- README has substantive content
- Includes a code example
- Documents its configuration
- Mentions credentials or security posture
- Last commit 58 days ago
- Has a release history
- Repository is not archived
- No licence detected
- Namespace verified in the official MCP registry
- Claimed by its owner
- Published under an organisation
- 10 tool(s) documented
- Provides prompt templates
- Provides resources
- 6 documented install method(s)
- Published to a package registry
- Offers a hosted endpoint — no local install
Version history
| Versions | Published |
|---|---|
| 2.0.0Latest | Jul 4, 2026 |