--- title: "Honeycomb MCP integration | Growf" description: "Honeycomb is an observability platform for high-cardinality event data. The Honeycomb MCP server lets agents query… Connect Honeycomb MCP to Growf." url: "https://www.growf.io/integrations/honeycomb_mcp/" language: "en" --- Integration / Developer Tools & DevOps ![Honeycomb MCP logo](https://logos.composio.dev/api/honeycomb_mcp) # Honeycomb MCP integration Honeycomb is an observability platform for high-cardinality event data. The Honeycomb MCP server lets agents query datasets, run analyses and inspect telemetry. [Get a demo](https://www.growf.io/demo/) About Honeycomb MCP ## Honeycomb is an observability platform for high-cardinality event data. It helps teams debug production systems fast with rich telemetry analysis. [All integrations](https://www.growf.io/integrations/) Category Developer Tools & DevOps Connection OAuth Type Tool Actions 689 Tags library Example prompts ## What you can ask Growf to do with Honeycomb MCP - “Investigate latency spikes in production dataset” - “Compare error rates by endpoint today” - “Find anomalous traces in checkout service” Available actions ## 689 actions your agents can run in Honeycomb MCP - 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… Show all 33 actions ## Put Honeycomb MCP to work inside Growf. Connect it once and every workspace, agent and workflow can use it — securely, with your team in the loop. [Get a demo](https://www.growf.io/demo/)