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Honeycomb

Queries Honeycomb traces, events, metrics, SLOs, triggers, and boards through MCP.

Install Honeycomb

Pick your client, then add it in one click or paste the config.

SSE (Remote)
Server URL
https://docs.honeycomb.io/integrations/mcp

Remote servers are added in the app, not the config file: Customize → Connectors → Add custom connector, then paste this URL.

Overview

Honeycomb MCP server lets AI agents query Honeycomb observability data through the Model Context Protocol. Its documented coverage includes traces, events, metrics, SLOs, triggers, and boards. Reach for it when an agent needs to inspect Honeycomb data, while consulting Honeycomb's documentation for installation and connection details.

Use cases

  • Query Honeycomb traces during incident investigation
  • Inspect events and metrics through an AI client
  • Review SLOs for service health checks
  • Examine triggers and boards conversationally

Key features

  • Query traces
  • Query events
  • Query metrics
  • Query SLOs
  • Query triggers
  • Query boards

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 1d ago

Recent health check succeeded.

4/4 checks healthy over the last 44d

How Honeycomb works

What the Honeycomb MCP server does

The Honeycomb MCP server exposes Honeycomb observability data to MCP-compatible AI clients for querying. The available listing identifies six areas of coverage: traces, events, metrics, service-level objectives (SLOs), triggers, and boards. This makes the server relevant to workflows that need an agent to inspect operational telemetry or related Honeycomb configuration data through a conversational interface.

The description specifies query access, not mutation or administrative actions. The listing does not describe alert delivery, dashboard editing, data ingestion, or automatic remediation.

How it works

An AI client communicates with Honeycomb through MCP, and the server makes the listed Honeycomb observability categories available for queries. The repository field points to Honeycomb's MCP integration documentation, which is the stated source for this listing.

The available description also does not specify whether queries span one environment, multiple environments, or particular datasets. Those details should be verified in Honeycomb's documentation before deployment. The confirmed scope is the ability to query Honeycomb data covering traces, events, metrics, SLOs, triggers, and boards.

Tools and capabilities

The documented capabilities are:

  • Query traces.
  • Query events.
  • Query metrics.
  • Query SLOs.
  • Query triggers.
  • Query boards.

Limitations and notes

As a result, installation commands, required environment variables, supported clients, licensing, authentication requirements, and transport options cannot be confirmed here. The listing confirms query coverage but does not establish write access or broader Honeycomb API functionality.

Use Honeycomb's linked integration documentation to confirm setup requirements and the exact operations exposed by the server. If a workflow depends on changing SLOs, triggers, or boards rather than reading them, verify that capability explicitly; it is not supported by the information available for this entry.

Reviews

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Frequently Asked Questions about Honeycomb

Honeycomb is an MCP server that connects AI clients to Honeycomb observability data and provides query access to traces, events, metrics, SLOs, triggers, and boards.

The listing links to Honeycomb's MCP integration documentation, which should be consulted for setup commands, authentication, transport, and client configuration.

It can query traces, events, metrics, SLOs, triggers, and boards. The listing does not provide details about filters, query parameters, pagination, datasets, or environments.

The listing does not name any supported MCP clients, so client support should be verified in Honeycomb's integration documentation.

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