32 available actions

What your AI agent can do in Honeycomb MCP

Honeycomb is an observability platform for high-cardinality event data. The Honeycomb MCP server lets agents query datasets, run analyses and inspect telemetry. This page lists every available action. Your agent only receives the actions and permissions required for the role you approve.

Common starting points

Find columnsSearch for columns and calculated fields by intent across one or all datasets in an environment.
Find queriesSearch query history and saved queries by intent; returns matching queries with their run PKs.
Create boardCreate a board (dashboard) with query, SLO, and text panels.
Create markerCreates a marker (a vertical annotation on charts) to mark a point or window in time, such as a deploy, incident, or config change.
Update boardEdit an existing board (dashboard) in place.
Update sloUpdate an existing SLO.

Browse all 32 actions by capability

Open a capability to see every supported action and its description.

Find & reviewLook up and review existing recordsView 18 actionsHide actions

Find columnsSearch for columns and calculated fields by intent across one or all datasets in an environment.
Find queriesSearch query history and saved queries by intent; returns matching queries with their run PKs.
Get aiconversationFetch the full event timeline for a single AI conversation, identified by its OpenTelemetry gen_ai.conversation.id attribute value.
Get datasetGet dataset metadata and its full column schema (columns + calculated fields), sorted by most recent write activity.
Get dataset columnsGet the full column schema for one dataset, with optional sample values for specific columns.
Get environmentGet details for a specific environment, including its dataset list sorted by most recent activity.
Get query resultsRetrieve results and metadata from an existing query execution.
Get semconv attributeGet the full definitions of one or more semantic convention attributes by their exact names.
Get span detailsSummarize attributes and their common values observed on spans with a specific name.
Get traceRetrieve all spans for a specific trace ID and render them as a waterfall.
Get triggersList triggers (alert rules) for the team, or fetch full configuration for a single trigger.
Get workspace contextCall this tool first to orient yourself in a Honeycomb workspace.
List aiconversationsDiscover recent AI agent conversations (gen_ai.conversation.id values) in an environment, ordered by total event count (most active first) with per-agent activity.
List boardsList boards (saved dashboards) in an environment, or fetch one board's full contents by ID.
List recipientsList all pre-registered notification recipients (email, Slack, PagerDuty, webhook) for the team.
List semconv namespacesList the top-level semantic convention namespaces available in this team's registry.
List spansList span names in trace data, ranked by count, with how often each is a trace root and which dataset the count came from.
Search semconvSearch the semantic convention registry for attributes matching a query.

Create & communicateCreate records or send supported messagesView 5 actionsHide actions

Create boardCreate a board (dashboard) with query, SLO, and text panels.
Create markerCreates a marker (a vertical annotation on charts) to mark a point or window in time, such as a deploy, incident, or config change.
Create recipientCreate a notification recipient (email, Slack, PagerDuty, or webhook) so it can be attached to triggers and SLO burn alerts.
Create sloCreate an SLO (Service Level Objective) backed by an auto-created SLI derived column.
Create triggerCreate a trigger that fires alerts when a query result crosses a threshold.

Update & manageChange and manage existing recordsView 5 actionsHide actions

Run bubbleupRun BubbleUp analysis to find what makes a selected data subset different from the baseline.
Run queryRun a time-series aggregation query against a Honeycomb dataset and return computed results.
Update boardEdit an existing board (dashboard) in place.
Update sloUpdate an existing SLO.
Update triggerUpdate an existing trigger.

Other actionsSpecialist and administrative actions.View 4 actionsHide actions

Canvas agent invokeKick off a single-turn run of the Honeycomb Canvas agent.
Canvas agent poll responsePoll for the result of a previously-issued canvas_agent_invoke call.
FeedbackSubmit feedback about Honeycomb's MCP server to the agentic-intelligence team.
Refinery docsRead Honeycomb Refinery documentation.

Connection record

A connection you can control.

Sign-in: OAuth sign-in
Setup: Sign in with your own Honeycomb MCP account. Access is limited to the work agreed for the role.
Boundaries: Only the approved role and actions.
Off switch: Revoke the connection from your account.

FAQ

Before you connect Honeycomb MCP

How does the agent connect to Honeycomb MCP?

You sign in with your own Honeycomb MCP account. Permissions are limited to what the agent needs, the connection is health-checked, and you can revoke access from Honeycomb MCP at any time.

What can the agent actually do in Honeycomb MCP?

The page above lists the 32 actions currently available through the Honeycomb MCP connection. The role determines which of those actions the agent may use, and write access is only enabled when the workflow needs it.

Is Honeycomb MCP included in my plan?

Connections are priced per tool on top of the base plan. Some are included and some are premium. See pricing for how connection charges work.

How long until Honeycomb MCP is ready?

Timing depends on the sign-in method, permissions and workflow being connected. We confirm the scope and setup plan before enabling the connection.

Bring the workflow together

Ready to put Honeycomb MCP to work?

Start with the responsibility you want off your plate. We’ll map the connection and the boundaries around it.

Book a setup call Browse all connections

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