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Connect Axiom MCP to your AI agents, securely.

One secured endpoint for every Axiom call your AI agents make, scoped per user, inspected, and logged.

Select the tools your AI agents can call

31 tools from the Axiom MCP schema.

Showing 31 tools

  • queryDatasetreadRuns an APL query against an events or traces dataset. Metrics datasets use queryMetrics instead.
  • getSavedQueriesreadLists the saved APL queries in the organization.
  • listDatasetsreadLists the available Axiom datasets.
  • getDatasetFieldsreadLists the fields in an events or traces dataset, including field names and types.
  • createDatasetwriteCreates a new dataset in the current organization.
  • listMetricsreadLists the available metric names in a dataset.
  • listMetricTagsreadLists the tags available for filtering metrics in a dataset.
  • getMetricTagValuesreadReturns the values for a specific metric tag in a dataset.
  • searchMetricsreadSearches for metrics that match a known tag value.
  • queryMetricsreadRuns an MPL query against an Axiom metrics dataset.
  • listDashboardsreadLists the dashboards in the organization.
  • getDashboardreadReturns the details for a dashboard by UID.
  • exportDashboardreadExports a dashboard as JSON, including the queries behind its charts.
  • createDashboardwriteCreates a dashboard from a JSON document.
  • updateDashboardwriteUpdates a dashboard by UID.
  • updateDashboardChartwritePatches a single chart in an existing dashboard by chart ID, rather than replacing the whole dashboard.
  • deleteDashboardhigh riskDeletes a dashboard by UID.
  • checkMonitorsreadChecks the monitors and their current statuses, including which are alerting.
  • getMonitorreadReturns a monitor's full definition by ID, including the complete query text.
  • getMonitorHistoryreadReturns the alert history for a specific monitor.
  • listNotifiersreadLists the configured notifiers, the delivery channels alerts go to.
  • createMonitorwriteCreates a new monitor.
  • updateMonitorhigh riskUpdates an existing monitor by ID, which can widen a threshold or window until the monitor stops firing.
  • deleteMonitorhigh riskDeletes a monitor by ID, ending the alerting it provided.
  • createNotifierhigh riskCreates a new notifier, which is an outbound delivery channel such as Slack, email, PagerDuty or a custom webhook.
  • updateNotifierhigh riskUpdates an existing notifier by ID, including pointing it at a different webhook URL.
  • deleteNotifierhigh riskDeletes a notifier by ID, so monitors bound to it stop delivering anywhere.
  • services-getMapreadReturns the service dependency graph, including call volume, errors and approximate latency.
  • services-getChangesreadReports what changed in the service dependency graph, such as new or missing dependencies and latency regressions.
  • services-getEdgeHistoryreadReturns time-series history for a service's dependency edges.
  • sendFeedbackwriteSends feedback to the Axiom team about MCP tool descriptions, results, errors or missing capabilities.

What Axiom MCP exposes

Axiom MCP groups its 31 tools into 7 categories, each with a suggested starting policy.

All 31 tools as JSON, ready to paste.

CategoryCoversAccessSuggested policy
Monitors & NotifiersChecking monitors and their current statuses, a monitor's full definition including its complete query text, alert history, listing notifiers, and creating, updating and deleting both monitors and notifiersRead / WriteupdateNotifier can point a notifier at a different webhook URL, which redirects the alert stream. The delete tools end alerting silently, so gate all six write tools and log the notifier target
DashboardsListing dashboards, reading one by UID, exporting as JSON, creating from a JSON document, updating by UID, patching a single chart by chart ID, and deletingRead / WriteupdateDashboardChart patches one chart rather than replacing the whole dashboard, which makes it the safer edit. exportDashboard carries the chart queries out with it
MetricsListing metric names in a dataset, the tags available for filtering, values for a specific tag, searching metrics by a known tag value, and running MPL queries against a metrics datasetReadEntirely read-only. Metrics datasets use MPL and a different discovery path from events and traces, so the events tools do not apply here
Service MapThe service dependency graph with call volume, errors and approximate latency, what changed in that graph such as new or missing dependencies and latency regressions, and time-series history for a service's dependency edgesReadRead-only, and only present when service map is enabled for the organization. The graph is a map of the production architecture, so treat the output as internal
DatasetsListing available datasets, listing the fields in an events or traces dataset with their names and types, and creating a new dataset in the current organizationRead / WritegetDatasetFields is the prerequisite for writing a correct APL query. createDataset adds a new ingest target, which has a billing consequence
QueryRunning an APL query against an events or traces dataset, and listing the saved APL queries in the organizationReadqueryDataset runs arbitrary APL against production telemetry, which routinely contains customer data in log lines. Axiom's query cost limits for AI agents are the control to pair with it
FeedbackSending feedback to the Axiom team about tool descriptions, results, errors or missing capabilitiesWriteTouches no account data, but it is still an outbound message from the organization to the vendor

Connect Axiom MCP to your AI agent

Four steps, under ten minutes.

  1. 01

    Sign in to NeuralTrust

    Open the NeuralTrust platform, sign in and go to Getting started, then Connect your tools.

    Sign in to NeuralTrust
  2. 02

    Choose your agent

    When asked which agent you use, pick Claude Code, Codex, Cursor, Windsurf, Copilot or your own code.

    Choose your agent
  3. 03

    Connect Axiom

    Find Axiom in the tool list and connect it.

    Connect Axiom
  4. 04

    Connect your agent

    Follow the steps on screen to add the config to your agent, then send the test prompt.

    Connect your agent

Permissions down to the single tool

You do not allow Axiom MCP or block it. You allow the exact tools each agent can call, one by one.

Axiom MCP31 TOOLS AVAILABLE
Code review agent4 tools, read only
Issue triage bot9 tools
Platform team assistantall 31 tools
  • Tool by toolConnecting the server is not the unit of access. Each tool is granted on its own.
  • Default denyA tool you have not enabled is never exposed to the agent.
  • Approval on writesTools that change or delete things can require a human to confirm.

Is Axiom MCP secure?

One endpoint instead of raw credentials. Every call is checked against policy and logged.

AI agentsConnect through your MCP client configuration.NeuralTrustApply controls based on your configuration.Axiom MCP31 documented tools, which Axiom itself labels Read or Write. The server also ships seven prebuilt MCP prompts, which are not available in the local setup, and Axiom offers separate query cost limits for AI agents.
Coding assistantsConnection & credentialsper userMonitors & Notifiers10 tools
Internal copilotsTool access policiesdeny by defaultDashboards7 tools
Workflow automationsRequest & response inspectioninlineMetrics5 tools
Compatible MCP clientsActivity monitoringalerts and logsAll other tools9 tools
FAQ

Common questions about running Axiom MCP through TrustGate.

Connect Axiom MCP instantly

Pick the tools, point your agent at TrustGate, and Axiom MCP is live: scoped, inspected, logged.