Your AI agent doesn't know what's broken in production. This fixes that.
Last9 MCP Server connects Claude, Cursor, Windsurf, and any other MCP-capable AI assistant directly to your production observability data — logs, metrics, traces, exceptions, database queries, alerts, and deployments. The agent stops guessing and starts reading the actual signal.
No binary to install. No tokens to manage. One URL, OAuth in your browser, done.
Find your org slug in your Last9 URL: app.last9.io/<org_slug>/...
claude mcp add --transport http last9 https://app.last9.io/api/v4/organizations/<org_slug>/mcpType /mcp, select last9, authenticate. That's it.
Settings > MCP > Add New MCP Server:
{
"mcpServers": {
"last9": {
"type": "http",
"url": "https://app.last9.io/api/v4/organizations/<org_slug>/mcp"
}
}
}Click Connect, complete OAuth.
Requires v1.99+. Open Command Palette → MCP: Add Server, paste the URL, authenticate.
Or directly in settings.json:
{
"mcp": {
"servers": {
"last9": {
"type": "http",
"url": "https://app.last9.io/api/v4/organizations/<org_slug>/mcp"
}
}
}
}Settings > Cascade > Open MCP Marketplace > gear icon (mcp_config.json):
{
"mcpServers": {
"last9": {
"serverUrl": "https://app.last9.io/api/v4/organizations/<org_slug>/mcp"
}
}
}Settings > Connectors > Add custom connector. Name it last9, paste the URL, authenticate.
Requires admin access to your Claude organization.
Use this when your MCP client doesn't support HTTP transport, or when you need the server running locally.
Homebrew:
brew install last9/tap/last9-mcpNPM:
npm install -g @last9/mcp-server@latest
# or directly:
npx -y @last9/mcp-server@latestBinary releases (Windows / manual):
Download from GitHub Releases:
| Platform | Archive |
|---|---|
| Windows (x64) | last9-mcp-server_Windows_x86_64.zip |
| Windows (ARM64) | last9-mcp-server_Windows_arm64.zip |
| Linux (x64) | last9-mcp-server_Linux_x86_64.tar.gz |
| Linux (ARM64) | last9-mcp-server_Linux_arm64.tar.gz |
| macOS (x64) | last9-mcp-server_Darwin_x86_64.tar.gz |
| macOS (ARM64) | last9-mcp-server_Darwin_arm64.tar.gz |
Only admins can create tokens.
- Go to API Access
- Click Generate Token with Write permissions
- Copy it
Homebrew:
{
"mcpServers": {
"last9": {
"command": "/opt/homebrew/bin/last9-mcp",
"env": {
"LAST9_REFRESH_TOKEN": "<your_refresh_token>"
}
}
}
}NPM:
{
"mcpServers": {
"last9": {
"command": "npx",
"args": ["-y", "@last9/mcp-server@latest"],
"env": {
"LAST9_REFRESH_TOKEN": "<your_refresh_token>"
}
}
}
}Where to paste this:
| Client | Location |
|---|---|
| Claude Web/Desktop | Settings > Developer > Edit Config (claude_desktop_config.json) |
| Cursor | Settings > Cursor Settings > MCP > Add New Global MCP Server |
| Windsurf | Settings > Cascade > MCP Marketplace > gear icon (mcp_config.json) |
| VS Code | Wrap in { "mcp": { "servers": { ... } } } in settings.json — details |
VS Code STDIO config
{
"mcp": {
"servers": {
"last9": {
"type": "stdio",
"command": "/opt/homebrew/bin/last9-mcp",
"env": {
"LAST9_REFRESH_TOKEN": "<your_refresh_token>"
}
}
}
}
}For NPM: use "command": "npx" and add "args": ["-y", "@last9/mcp-server@latest"].
Windows
After downloading from GitHub Releases, extract and point to the full path:
{
"mcpServers": {
"last9": {
"command": "C:\\Users\\<user>\\AppData\\Local\\Programs\\last9-mcp-server.exe",
"env": {
"LAST9_REFRESH_TOKEN": "<your_refresh_token>"
}
}
}
}The NPM route is easier on Windows — no path management.
| Variable | Default | Description |
|---|---|---|
LAST9_REFRESH_TOKEN |
(required) | Refresh token from API Access |
LAST9_DATASOURCE |
org default | Datasource/cluster name — useful when you have multiple Levitate clusters |
LAST9_API_HOST |
app.last9.io |
Override the API host |
LAST9_TOOLSETS |
all tools | Comma-separated toolsets to expose (logs, traces, metrics, alerts, dashboards, profiles, grafana, investigate, all). Alias: LAST9_MCP_TOOLSETS |
LAST9_MAX_GET_LOGS_ENTRIES |
5000 |
Max entries for chunked get_logs requests |
LAST9_USE_LOG_SEARCH_API |
false |
Set true to answer get_logs and get_service_logs with one server-side search call instead of client-side chunking |
LAST9_DEBUG_CHUNKING |
false |
Set true to log chunk-planning details for get_logs, get_service_logs, get_traces |
LAST9_DISABLE_TELEMETRY |
true |
Set false to enable internal OTel tracing |
OTEL_SDK_DISABLED |
— | Standard OTel env var. Overrides LAST9_DISABLE_TELEMETRY |
OTEL_EXPORTER_OTLP_ENDPOINT |
— | OTLP collector endpoint (only when telemetry is enabled) |
OTEL_EXPORTER_OTLP_HEADERS |
— | OTLP auth headers (only when telemetry is enabled) |
get_service_summary— Ranked fleet(service, env)rows: interval request_count, throughput_rpm, HTTP 4xx/5xx counts, and gRPC error countsget_service_environments— Available environments for your services. Run this first — other APM tools needenvfrom hereget_service_performance_details— Full breakdown: throughput, error rate, p50/p90/p95/avg/max, apdex, availabilityget_service_operations_summary— Operations grouped by HTTP endpoints, DB calls, messaging, HTTP clientsget_service_dependency_graph— Dependency map with throughput, latency, and error rates for upstream/downstream/infraget_apm_service_deviations— Compare a current window against an equal-duration baseline: regressions/improvements, Apdex reconciliation, and a terminal outcome (fleet or single service)get_exceptions— Server-side exceptions with service and span filters
Four tools that go directly at your database performance, derived from OpenTelemetry trace spans and, where traces are absent, infrastructure metrics such as CloudWatch. No extra instrumentation needed if you're already using OTel.
get_databases— Discover all databases across your infrastructure: DB type, host, throughput (queries/min), p95 latency, error rate, number of dependent services. Also discovers databases from infrastructure metrics such as CloudWatch, with no trace instrumentation needed — those rows carry an activity value instead of trace metricsget_database_slow_queries— The actual slowest query executions, ordered by duration, with trace IDs for drilling into full tracesget_database_queries— Query patterns and aggregates: how often a query runs, average/p95 duration, error rateget_database_server_metrics— Server-side metrics from the DB host itself (CPU, connections, buffer hit rates — depends on your DB system)
Supports PostgreSQL, MySQL, MongoDB, Redis, Aerospike, and anything else OTel traces with a db_system attribute — plus databases discovered from infrastructure metrics such as CloudWatch, whose rows carry an activity value instead of trace metrics.
prometheus_range_query— PromQL range queries over any metricprometheus_instant_query— Instant queries; use rollup functions likeavg_over_time,sum_over_timeprometheus_label_values— Label values for a given seriesprometheus_labels— All labels available for a series
Point these at a different datasource/cluster than the default by setting LAST9_DATASOURCE.
get_logs— Full JSON pipeline log queries (aggregations, filters, field extraction)get_service_logs— Raw log lines for a service, filterable by severity and body contentget_log_attributes— Global catalog of attributes in the log schema for a time windowget_log_attributes_for_pipeline— Log fields actually present for an in-progress pipeline (scoped discovery), each with its exactfilter_fieldget_drop_rules— Log drop rules from Last9 Control Planeadd_drop_rule— Create a new drop rule to cut log volume at the source
get_traces— JSON pipeline trace queries for broad searches and aggregationsget_service_traces— Traces by exact trace ID or service name. Use this when you have a trace ID — it's fasterget_trace_attributes— Global catalog of attributes in the trace schemaget_trace_attributes_for_pipeline— Attributes actually present for an in-progress pipeline (scoped discovery), each with its exactfilter_fieldget_trace_attribute_values— Distinct values for a trace attribute, optionally scoped to a pipelineget_trace_attribute_deviations— Ranks attribute values that differ between two bounded span cohorts (slow vs fast, error vs non-error, or two time windows). Correlation, not causeget_trace_waterfall— One exact trace as a parent/child waterfall with interval-union self-time, slowest spans, and graph warnings
get_change_events— Deployments, config changes, rollbacks. Correlate incidents with what changedget_alert_groups— Configured Compass alert groups with metadata labels, team, tier, and rule counts — including groups with zero rules and groups that are not firingget_alert_config— Alert rule configurations — searchable by name, severity, type, tagsget_alerts— Currently firing alerts within a time windowget_alert_rule_state— Historical firing state (1/0) per alert rule over a time range, grouped byrule_id. Filterable by alert group, rule name, label filters, and state.get_notification_channels— Configured notification channels (Slack, PagerDuty, email, etc.)
list_dashboards— All custom dashboards in your org: IDs, names, and metadataget_dashboard— Full dashboard definition by ID, including panels and queriesvalidate_dashboard— Read-only lint + execute + classify for a saved dashboard id or an inlinedashboard_definitionover a ≤24h window. Never creates or updates dashboardscreate_dashboard— Create a net-new custom dashboard once (panels, queries, metadata). After the id is returned, refine withupdate_dashboard.update_dashboard— Refine an existing dashboard by ID (full replacement; readonly system dashboards return an error)delete_dashboard— Delete a custom dashboard by IDlist_dashboard_snapshots— Frozen point-in-time snapshots for a dashboard (metadata only)get_dashboard_snapshot— Full frozen snapshot including panel data for RCA / shareable viewsdelete_dashboard_snapshot— Delete a frozen snapshot by ID
Requires continuous profiling enabled for the org. Discover services first with get_profile_services, then pull a flamegraph or ranked functions.
get_profile_services— Services that have profiling data in the window (index before querying)get_flamegraph— Nested flamegraph tree for one service (cpudefault; alsoalloc,wall)get_top_functions— Self-sample ranking of hottest functions for one serviceget_profile_summary— Short natural-language triage of the profile for one service
Read-only tools against the org's Grafana instance (via Last9's Grafana proxy). Credential fields are never returned to the model. Enable with LAST9_TOOLSETS=grafana (or leave toolsets unset for all tools).
grafana_search_dashboards— Search dashboards by title substring (paginated;truncated: truewhen the cap is hit)grafana_get_dashboard— Dashboard summary by uid (panels, variables, PromQL targets);full_json=truefor raw Grafana JSONgrafana_list_folders— Folder treegrafana_list_folder_dashboards— Dashboards in one folder (paginated)grafana_list_datasources— Datasource inventory without credentials
did_you_mean— When the agent isn't sure about an entity name, this returns the closest matches from your catalog (services, environments, hosts, databases, K8s deployments/namespaces, jobs). Up to 3 suggestions with similarity scores. The server calls this automatically before most tools when a name lookup returns empty.
get_service_profile— What a service's telemetry actually looks like, before you query it: which signals exist, language and runtime, deployment environments, the shape of its logs, and a recommended ingest fix where one applies. Lets the agent skip trace tools when a service has no traces, and parse severity from the log body whenSeverityTextis empty instead of filtering on it and finding nothing.
Deep links on every response. Every tool returns a deep_link field — a direct URL into the Last9 dashboard for that exact query and time range. The agent can hand you the link; you click it; you're there.
Toolsets. By default the server exposes every tool. Automation hosts that only need investigation (logs/traces/metrics/profiles) can set LAST9_TOOLSETS=investigate (or pass --toolsets=investigate) so tools/list stays small without client-side mass-disable. Named packs: logs, traces, metrics, alerts, dashboards, profiles, grafana, investigate, all. Unknown names fail fast. The metrics pack alone does not include list_datasources or did_you_mean — use investigate (or combine toolsets) when you need those discovery helpers.
Tool reference resources. Long logjson/tracejson/service-logs/metrics manuals are MCP resources (last9://reference/logjson, last9://reference/tracejson, last9://reference/service_logs, last9://reference/metrics, last9://reference/investigation), not always-on tool description text. Critical query rules stay on the tool description so agents that never call resources/read still get correct construction guidance. Discover org-specific fields with get_log_attributes / get_log_attributes_for_pipeline (and the trace equivalents)—they are not injected into descriptions.
Chunked large results. get_logs and get_traces handle large result sets through chunking rather than truncating. The default limit is 5000 entries for logs; configurable via LAST9_MAX_GET_LOGS_ENTRIES.
HTTP mode, curl testing, building from source
export LAST9_REFRESH_TOKEN="your_refresh_token"
export LAST9_HTTP=true
export LAST9_PORT=8080
./last9-mcp-serverServer starts at http://localhost:8080/mcp.
The Streamable HTTP handler runs in stateless mode, so any request is served independently. An initialize handshake and an Mcp-Session-Id header are optional — clients that send them still work (the header is accepted and ignored), and clients can also skip straight to tools/list / tools/call. Every tool is an independent request/response query; the server issues no server→client notifications, so GET /mcp (the SSE stream) returns 405.
# List tools — a session handshake is optional in stateless mode
curl -s -X POST http://localhost:8080/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{"jsonrpc": "2.0", "id": 1, "method": "tools/list", "params": {}}'
# Call a tool
curl -s -X POST http://localhost:8080/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "get_service_logs",
"arguments": {
"service_name": "your-service-name",
"lookback_minutes": 30,
"limit": 10
}
}
}'git clone https://github.com/last9/last9-mcp-server.git
cd last9-mcp-server
go build -o last9-mcp-server
LAST9_HTTP=true ./last9-mcp-serverLAST9_HTTP=true is for local development. For actual usage, the hosted HTTP endpoint is easier.
All parameters, time input standards, and details
- Absolute times (
start_time_iso/end_time_iso, ortime_iso) take precedence overlookback_minutes. - For relative windows: use
lookback_minutes. - For absolute windows: use RFC3339/ISO8601 —
2026-02-09T15:04:05Z. - Legacy
YYYY-MM-DD HH:MM:SSis accepted for compatibility only.
limit(integer, optional): Max exceptions. Default: 20.lookback_minutes(integer, optional): Default: 60.start_time_iso/end_time_iso(string, optional): Absolute time range.service_name(string, optional): Filter by service.span_name(string, optional): Filter by span name.env(string, optional): Filter by environment.
start_time_iso/end_time_iso(string, optional)env(string, optional): PromQL regex. Defaults to.*. Exact match needs anchors (e.g.^prod$).sort_by(string, optional):request_count(default),throughput_rpm,http_4xx_count,http_5xx_count, orgrpc_error_count.limit(integer, optional): Max ranked rows. Omit or 0 means 10; values above 100 clamp to 100.
start_time_iso/end_time_iso(string, optional)
All other APM tools require an
envvalue. Use""if this returns empty.
service_name(string, required)lookback_minutes(integer, optional): Default: 60.start_time_iso/end_time_iso(string, optional)env(string, optional): Defaults toprod.
service_name(string, required)lookback_minutes(integer, optional): Default: 60.start_time_iso/end_time_iso(string, optional)env(string, optional): Defaults toprod.
service_name(string, optional)lookback_minutes(integer, optional): Default: 60.start_time_iso/end_time_iso(string, optional)env(string, optional): Defaults toprod.
service_name(string, optional): Omit for fleet scope; provide for one service and its operation correlations.lookback_minutes(integer, optional): Current window. Default: 60.start_time_iso/end_time_iso(string, optional): Explicit current window.baseline_start_time_iso/baseline_end_time_iso(string, optional): Explicit baseline. Defaults to the immediately preceding equal-duration window.datasource(string, optional): Restrict the comparison to one datasource.env(string, optional): Defaults toprod.max_services/max_operations(integer, optional): Default 10, max 10 each.
env(string, optional): Filter by environment. Accepts a regular expression. Default: all.lookback_minutes(integer, optional): Default: 60. Window may not exceed 7 days.start_time_iso/end_time_iso(string, optional)
db_system(string, optional): e.g.postgresql,mysql,mongodb,redis.host(string, optional): Database host (net_peer_name).service_name(string, optional): Calling service name.env(string, optional)min_duration_ms(float, optional): Minimum query duration in ms.lookback_minutes(integer, optional): Default: 60.start_time_iso/end_time_iso(string, optional)limit(integer, optional): Default: 20.
db_system(string, optional)host(string, optional)service_name(string, optional)env(string, optional)lookback_minutes(integer, optional): Default: 60.start_time_iso/end_time_iso(string, optional)limit(integer, optional): Default: 20.
db_system(string, required): e.g.postgresql,mysql,mongodb,redis,aerospike.host(string, optional)lookback_minutes(integer, optional): Default: 60.start_time_iso/end_time_iso(string, optional)
query(string, required): The PromQL query.start_time_iso/end_time_iso(string, optional): Defaults to last 60 min.lookback_minutes(float, optional): Default: 60.
query(string, required)time_iso(string, optional): Defaults to now.lookback_minutes(float, optional)
match_query(string, optional): PromQL filter.label(string, required): Label name.start_time_iso/end_time_iso(string, optional)
match_query(string, optional): PromQL filter.start_time_iso/end_time_iso(string, optional)
logjson_query(array, required): JSON pipeline query.lookback_minutes(integer, optional): Default: 5.start_time_iso/end_time_iso(string, optional)limit(integer, optional): Server default: 5000.index(string, optional):physical_index:<name>orrehydration_index:<block_name>.
For log-based service inventory, query physical_index_service_count first:
sum by (name, service_name, env) (physical_index_service_count{destination="logs"})
Use service_name as ServiceName, env as the environment when present, and name as the physical index name. If name="default", omit index; for a non-default physical index selected by the user, pass index: "physical_index:<name>". If the backend rejects explicit physical index filtering, retry without index and report that explicit physical index filtering is unavailable for that backend.
service_name(string, required)lookback_minutes(integer, optional): Default: 60.limit(integer, optional): Default: 20.env(string, optional)severity_filters(array, optional): e.g.["error", "warn"]. OR logic.body_filters(array, optional): e.g.["timeout", "failed"]. OR logic.start_time_iso/end_time_iso(string, optional)index(string, optional)
Multiple filter types combine with AND. Each array uses OR internally.
Use get_logs for broad aggregate counts first; use get_service_logs only after narrowing to a service/env/index and a small sample set.
lookback_minutes(integer, optional): Default: 15.start_time_iso/end_time_iso(string, optional)region(string, optional)index(string, optional)
pipeline(array, required): Prior filter stages to scope discovery, e.g.[{"type":"filter","query":{"$eq":["ServiceName","<service>"]}}].lookback_minutes(integer, optional): Default: 15.start_time_iso/end_time_iso(string, optional)region(string, optional)index(string, optional)
No parameters. Lists drop rules via GET /otel_settings/drop?region=....
name(string, required)filters(array, required): Each filter:key,value,operator(equals/not_equals),conjunction(and).- Filter keys must use
attributes["key_name"]orresource.attributes["key_name"](required by the Last9 API). - Creates the rule via
POST /otel_settings/drop?region=...&cluster_id=....
Use for broad searches and aggregations. For exact trace ID lookup, use get_service_traces.
tracejson_query(array, required)start_time_iso/end_time_iso(string, optional)lookback_minutes(integer, optional): Default: 60.limit(integer, optional): Default: 5000.
Exactly one of trace_id or service_name is required.
trace_id(string, optional): Default lookback: 72 hours.service_name(string, optional): Default lookback: 60 min.lookback_minutes(integer, optional)start_time_iso/end_time_iso(string, optional)limit(integer, optional): Default: 10.env(string, optional)
lookback_minutes(integer, optional): Default: 15.start_time_iso/end_time_iso(string, optional)region(string, optional)
pipeline(array, required): Prior filter stages to scope discovery, e.g.[{"type":"filter","query":{"$eq":["ServiceName","<service>"]}}].lookback_minutes(integer, optional): Default: 15.start_time_iso/end_time_iso(string, optional)region(string, optional)
tag_name(string, required): Attribute name fromget_trace_attributes(e.g.resource_departmentorattributes['http.method']).pipeline(array, optional): Prior filter stages to scope the values; omit for global values.lookback_minutes(integer, optional): Default: 15.start_time_iso/end_time_iso(string, optional): Historical RFC3339 bounds; take precedence overlookback_minutes.region(string, optional)
comparison_mode(string, required):latency,errors, ortime.service_name(string, required)environment(string, required): Exactdeployment.environmentvalue.operation(string, optional)filters(array, optional): Trace JSON filter conditions.candidate_attributes(array, optional): Maximum 8; omit for bounded discovery.latency_threshold_ms(number, optional): Required forlatencymode; rejected for other modes.start_time_iso/end_time_iso(string, optional)lookback_minutes(integer, optional): Default: 15. Maximum: 15.baseline_start_time_iso/baseline_end_time_iso(string, optional): Required fortimemode; non-overlapping and equal in duration to the target window.minimum_cohort_size(integer, optional): Default: 100. Minimum: 20.minimum_value_support(integer, optional): Default: 20. Minimum: 10.limit(integer, optional): Default: 10. Maximum: 10.
Requires the companion backend capability to be enabled.
trace_id(string, required)environment(string, optional)start_time_iso/end_time_iso(string, optional)lookback_minutes(integer, optional): Default: 4320 (72 hours).selected_span_id(string, optional): Returns attributes, events, and links for that span only.max_spans(integer, optional): Default: 500. Maximum: 1000.
Returns an investigation-evidence/v1 envelope; the waterfall is under data.
start_time_iso/end_time_iso(string, optional)lookback_minutes(integer, optional): Default: 60.service_name(string, optional)env(string, optional)event_name(string, optional): Call without this first to getavailable_event_names.
Configured Compass alert-group inventory for changeboard / label-coverage audits. Includes groups with zero rules and groups that are not firing. Does not return PromQL.
alert_group_name/alert_group_type/data_source_name(string, optional): Case-insensitive substring match.team/tier(string, optional): Exact case-insensitive match on configured metadata.label_key+label_value(string, optional): Must be set together. Exact case-insensitive match on onemetadata.labelspair — both key and value.
Returns compact JSON {"count":N,"groups":[...]} with id, name, type, entity_class, team, tier, metadata.labels, and rule counts. Empty team / labels means unset.
search_term(string, optional): Free-text search across name, group, data source, tags.rule_name(string, optional)severity(string, optional)rule_type(string, optional):staticoranomaly.alert_group_name/alert_group_type/data_source_name(string, optional)tags(array, optional): All must match (AND logic).
time_iso(string, optional): Evaluation time in RFC3339.window(integer, optional): Lookback in seconds. Default: 900. Range: 60–86400.lookback_minutes(integer, optional): Range: 1–1440.
start_time(integer, required): Unix epoch start of the range (inclusive).end_time(integer, required): Unix epoch end of the range (inclusive).step(integer, required): Resolution in seconds between samples. The number of samples((end_time - start_time) / step + 1)is capped at 100.alert_group_id(string, optional): Filter by alert group ID.rule_name(string, optional): Regex filter on rule name.alert_group_name(string, optional): Regex filter on alert group name.label_filters(string, optional): Comma-separatedkey=valuelabel filters.state(string, optional): Filter by state (e.g.firing).
Returns a JSON map of rule_id -> [{timestamp, is_firing}]. A timestamp at which a rule is absent from the upstream response is reported as is_firing=0 — this means "not observed as firing", not a confirmed normal state.
No parameters. Returns all configured notification channels (Slack, PagerDuty, email, webhooks, etc.).
query(string, required): The name to search for — partial, misspelled, or abbreviated.type(string, optional): Restrict to entity type:service,environment,host,database,k8s_deployment,k8s_namespace,job.
Returns up to 3 closest matches with similarity scores. Use this before any tool call where the entity name is uncertain. If a previous call returned empty results, try this before retrying.
service_name(string, required): Service to derive a telemetry profile for.datasource(string, optional): Datasource name. Omit for the default.
Returns a short investigation brief followed by the full profile as raw JSON: signal presence (logs/traces/metrics as present, absent, or unknown), language and runtime, deployment environments, log signal_shape (log_format, severity_set, level_field), and a recommended ingest fix where one applies. Derived upstream and cached with a ~15 minute TTL.
Call it before any service-scoped investigation so tool selection matches the service's actual telemetry — skip trace tools when traces is absent, and when severity_set is none or partial parse severity from level_field in the log body rather than using severity_filters. metrics is always unknown and dependencies is unpopulated in v1. When logs and traces are both absent, confirm the name with did_you_mean before concluding the service is unmonitored.
No parameters. Returns all custom dashboards in the org as a JSON array with id, name, and metadata.
id(string, required): Dashboard UUID.region(string, optional): Region for panel query population. Defaults to configured datasource region.
Read-only. Never creates or updates dashboards. Accept exactly one of dashboard_id or dashboard_definition.
dashboard_id(string, optional): Saved dashboard UUID to validate.dashboard_definition(object, optional): Inline unsaved dashboard body (true dry run).start_time_iso/end_time_iso(string, optional): Validation window (RFC3339). Must be ≤ 24h.region(string, optional): Region for panel query execution.
Returns dashboard_validation/v1: per-panel lint + execute classification (data / no_data / invalid / error). Day-1 empty results classify as valid_no_data without diagnose probes.
Net-new only. After this call returns dashboard.id, refine with update_dashboard — do not create again to add, trim, or fix panels.
dashboard(object, required): Dashboard definition withnameandpanels[]. Each panel requiresname,version,layout(x,y,w,h),visualization.type, andqueries[].metadata(object, optional): Dashboard metadata —_categoryand_typefields (e.g.{"_category":"custom","_type":"metrics"}).
Prefer this after create. Full replacement by id (same body as create).
id(string, required): Dashboard UUID to update.dashboard(object, required): Full replacement dashboard body (same shape as create).metadata(object, optional): Replacement metadata. Readonly system dashboards return a 403 error.
id(string, required): Dashboard UUID to delete. Readonly system dashboards cannot be deleted.
dashboard_id(string, required): Dashboard UUID whose snapshots to list.
Returns metadata only (id, name, expires_at, etc.). Use get_dashboard_snapshot for frozen panel data.
id(string, required): Snapshot UUID.
Returns the full frozen snapshot including dashboard_definition, panel_data, time_range, and variables.
id(string, required): Snapshot UUID to delete.
lookback_minutes/start_time_iso/end_time_iso(optional): Window; prefer lookback or explicit ISO bounds (default 60m).region(string, optional): Region override.
Returns services that have profiling data in the window. Call this before get_flamegraph / get_top_functions / get_profile_summary.
service(string, required): Service name fromget_profile_services.profile_type(string, optional):cpu(default),alloc, orwall. Pin a type when comparing windows.env/cluster/namespace/runtime(string, optional): Scope filters.limit(number, optional): Max aggregated stack rows (default 1000, max 10000).lookback_minutes/start_time_iso/end_time_iso/region(optional).
Returns a nested flamegraph tree (name / value / self / children). truncated: true means the API row limit was hit.
Same filters as get_flamegraph. Returns self-sample ranking of hottest functions. May be truncated; check truncated.
Same filters as get_flamegraph. Returns a short natural-language triage of the profile for the service.
query(string, optional): Title substring. Empty lists broadly (subject to the 5,000-row cap).
Returns {"dashboards":[…], "truncated":bool} with uid, title, uri, url, type, tags. Use uid with grafana_get_dashboard.
uid(string, required): Grafana dashboard uid.full_json(boolean, optional): When true, return raw Grafana JSON instead of the filtered summary.
Default summary: version, tags, templating variables, and each panel's type/datasource/gridPos/promQL targets. Unknown plugin panel types appear in unsupportedPanelTypes.
No parameters. Returns the folder tree.
folder_uid(string, required): Grafana folder uid.
Returns {"dashboards":[…], "truncated":bool} for dashboards in that folder (paginated up to 5,000).
No parameters. Returns a safe projection of datasources (no credential fields).
See TESTING.md for integration test setup and instructions.

