Developer Tools & Devops · Honeycomb MCP + Claude
Honeycomb MCP with Claude: Faster Production Incident Investigation
The short answer
Claude works with Honeycomb through the Model Context Protocol, an open standard that gives Claude a secure, permission-controlled connection to your Honeycomb data. Once connected, Claude can query datasets, run analyses and inspect telemetry from a plain-English request, helping engineers find the cause of production problems faster.
What is Honeycomb MCP?
Honeycomb is an observability platform built to analyse high-cardinality event data, meaning data with many unique values such as individual user IDs, request IDs or build versions. Engineering, site reliability and DevOps teams use it to see what their production systems are doing, spot unusual behaviour and debug problems quickly. It is typically used when standard dashboards are not enough to explain why a specific group of users or requests is slow or failing.
How Claude connects to Honeycomb MCP through MCP
The Model Context Protocol, usually shortened to MCP, is an open standard that lets Claude securely use other software. Think of it as a universal adapter between Claude and a tool. For Honeycomb, the connection lets Claude work with your telemetry without you copying data into a chat window by hand.
Once connected, Claude can read information in Honeycomb, such as the datasets available, the queries you have run and the telemetry behind them. It can run analyses, look for patterns across events and help summarise what it finds. Claude can typically combine these steps while you ask questions in ordinary language.
Permissions and approvals keep people in charge. Access is set by the organisation and limited to what each role needs, which is known as least-privilege access. Sign-in uses Honeycomb's supported dynamic client registration OAuth flow, so no shared passwords are stored. Consequential actions can require a person to approve them before they happen, and every interaction can be logged for audit.
What you can automate
Live incident triage
When an alert fires at night, an on-call engineer can ask Claude which services, regions or customer segments show the sharpest rise in error rates. Claude can run the relevant analyses in Honeycomb and return a short summary of likely causes, so the engineer starts from a shortlist instead of an empty dashboard.
Post-incident reviews
After an outage, a reliability lead can ask Claude to reconstruct the timeline of events from telemetry and identify when the problem began. This helps teams write accurate review documents faster and check whether the proposed root cause matches the data.
Performance regression checks
Product and engineering managers can ask whether a recent release slowed down a key page or API for a particular group of users. Claude can compare time windows, break results down by attributes such as build version, and flag changes worth a closer look by the development team.
Release health monitoring
Before and after a deployment, a DevOps lead can ask Claude to check error rates, latency and unusual events against the previous release. Claude can prepare a concise status note for the release channel, with the engineer deciding whether to roll back or continue.
Support escalation support
When a customer reports a problem, a support engineer can ask Claude to look up telemetry for that customer's requests. Claude can surface the relevant traces and events, helping the engineer give a faster, evidence-based answer or hand a clear case to the development team.
Knowledge sharing for new team members
Team leads can use Claude to help newer engineers learn how to query production data. Claude can explain the analysis it ran and why, turning each investigation into a teaching moment while keeping the underlying access controls in place.
An end-to-end workflow: Checkout slowdown investigation
TriggerA latency alert fires in the monitoring system for the checkout service at peak trading hours.
The alert is passed to Claude, which pulls the incident details from the ticketing system and links them to a new incident record.
Claude queries Honeycomb for checkout request latency, grouped by region, payment provider and app version to find where the slowdown is concentrated.
Claude reviews matching traces and reports the likely cause, such as one payment provider responding slowly from a specific region.
The on-call engineer checks the findings and approves a proposed action, such as switching traffic to a backup route.
Claude updates the incident record in the ticketing system with a summary, the evidence and the actions taken, and posts a status update to the operations channel.
OutcomeTeams typically reach a likely cause faster, keep incident records complete without manual copying, and keep a person in control of every change to production.
How we set it up
Free automation audit
We review your current incident and monitoring workflows and identify the investigations most worth speeding up with Honeycomb and Claude.
Secure connection
We connect Claude to Honeycomb through MCP using dynamic client registration OAuth, so sign-in follows Honeycomb's supported method and no shared credentials are stored.
Workflow design
We design the end-to-end workflow across Honeycomb and your other systems such as ticketing, chat and Microsoft 365, with approval points for consequential actions and least-privilege access for each role.
Testing against real cases
We test the workflow against past incidents and known performance issues to confirm Claude's findings match what your engineers found at the time.
Launch, monitoring and training
We launch with audit logging and monitoring in place, then train your engineers and on-call staff to use the workflow confidently.
Who benefits
- Site reliability engineers
- Shorter time from alert to likely cause, with evidence gathered in one place.
- DevOps and platform leads
- Consistent release health checks and cleaner handovers between shifts.
- Engineering managers
- Clearer post-incident reviews and better visibility into performance regressions.
- Support and customer success teams
- Evidence-based answers to customer problems without waiting for a developer on every case.
Security and control
- Least-privilege access so each user and Claude itself can only see the datasets their role requires.
- Dynamic client registration OAuth sign-in, with no shared passwords or long-lived keys stored in prompts.
- Human approval for any action that changes production systems or customer-facing services.
- Audit logs that record queries and actions for review and compliance purposes.
- Hosting region chosen to meet your data residency requirements, with sensitive fields reviewed before connection.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom often need telemetry handled under their state or national data protection and security expectations, and we configure access accordingly. In India, the Digital Personal Data Protection Act, 2023 governs personal data, so we design logging and access to respect it. Organisations in the UAE and Saudi Arabia must meet local data protection laws, and we select a hosting region for Claude that matches those requirements.
Learn more about Claude and MCP
Anthropic's AI model and assistant.
Secure links between Claude and business tools.
How engineers build and change software with Claude.
Hosted agents that run multi-step work.
The open standard Claude uses to connect to tools.
Frequently asked questions
What does the Honeycomb MCP server do?
The Honeycomb MCP server is the connector that lets AI tools such as Claude work with Honeycomb data securely. It typically allows the AI to list datasets, run queries and analyses, and inspect telemetry, all within the permissions you set. It does not replace Honeycomb itself; it gives Claude a controlled way to use it.
Is connecting Claude to Honeycomb secure?
Security depends on how the connection is set up. Sign-in uses dynamic client registration OAuth, so no shared passwords are stored. Access is limited to what each role needs, consequential actions can require approval, and activity can be logged for audit. We design these controls before anything goes live.
What can Claude actually do with Honeycomb?
Once connected, Claude can typically read datasets, run analyses, search telemetry for patterns and summarise findings in plain language. It can help engineers investigate incidents and check releases. Changes to production or customer-facing systems should always be approved by a person.
How long does setup take?
Timelines vary with the number of datasets, workflows and systems involved. A focused integration for one investigation workflow is often completed in a few weeks, including testing and training. We confirm the timeline during the free automation audit.
Which Honeycomb plan or permissions are needed?
Generally, the connection needs a Honeycomb user or service account with permission to access the datasets you want Claude to use, and access to the sign-in flow that Honeycomb supports. Exact requirements depend on your Honeycomb setup, so we check your current access during the audit.