Honeycomb MCP integration

Canvas agent invoke

Kick off a single-turn run of the Honeycomb Canvas agent. Pass investigation_id to extend an existing investigation visible to the caller's team. Omit investigation_id to create a new investigation for this prompt; the new ID is returned in the response so the caller can reuse it on follow-up calls…

Canvas agent poll response

Poll for the result of a previously-issued canvas_agent_invoke call. Pass the investigation_id and session_id returned from canvas_agent_invoke. Each call waits up to wait_seconds (default 30, max 50) for a terminal event, then returns either status='completed' with the agent's chat reply, status='…

Create board

Create a board (dashboard) with query, SLO, and text panels. When to use: - "Create a dashboard for service X" / "build a board with latency and error queries" — primary creation path. - After running queries and collecting their run IDs, assembling them into a board for sharing. - When a user want…

Create marker

Creates a marker (a vertical annotation on charts) to mark a point or window in time, such as a deploy, incident, or config change. Scope it to one dataset or, with dataset_slug='__all__', the whole environment.

Create recipient

Create a notification recipient (email, Slack, PagerDuty, or webhook) so it can be attached to triggers and SLO burn alerts. When to use: - "Alert the on-call channel when this trigger fires" — create a Slack recipient first, then pass its ID to create_trigger. - "Page the on-call team via PagerDut…

Create slo

Create an SLO (Service Level Objective) backed by an auto-created SLI derived column. When to use: - "Create an SLO for API latency" / "set a 99.9% availability target" — primary creation path. - When a user asks to track reliability for a service over a rolling time window. - After creating an SLO…

Create trigger

Create a trigger that fires alerts when a query result crosses a threshold. When to use: - "Alert me when error rate exceeds 5%" / "page on-call when request count drops below 100" — primary alerting path. - "Create a trigger that only fires during business hours" — use evaluation_schedule with typ…

Feedback

Submit feedback about Honeycomb's MCP server to the agentic-intelligence team. When to use: - A tool returned unexpected, wrong, or confusing data. - You wanted a capability that no tool in this server provides. - A workflow felt unnecessarily clunky or required too many tool calls. - A tool descri…

Find columns

Search for columns and calculated fields by intent across one or all datasets in an environment. When to use: - "What column has the error rate?" / "Find columns related to duration or latency" — intent-based discovery. - Before composing a run_query, to confirm that columns with the right names ex…

Find queries

Search query history and saved queries by intent; returns matching queries with their run PKs. When to use: - "Has anyone queried the error rate for checkout?" — check existing work before composing a new query. - Before calling run_query, verify a semantically similar query does not already exist.…

Get aiconversation

Fetch the full event timeline for a single AI conversation, identified by its OpenTelemetry gen_ai.conversation.id attribute value. Prefer this over ad-hoc run_query filtered by conversation ID — it returns every LLM call, tool call, and related agent/task event (with span name, operation/category,…

Get dataset

Get dataset metadata and its full column schema (columns + calculated fields), sorted by most recent write activity. When to use: - "What columns does the api-service dataset have?" — retrieve the schema for one dataset. - Before run_query, to verify column names and types exist in the target datas…