Developer Tools & Devops · Polar Signals MCP + Claude
Polar Signals MCP with Claude: Find Performance Regressions Faster
The short answer
Claude connects to Polar Signals through the Model Context Protocol (MCP), a secure standard that lets Claude read profiling data and answer questions about it. Engineers can ask in plain English which services slowed down, where time is spent, and what changed after a release. Access is controlled by the organisation, and sign-in uses an API key.
What is Polar Signals MCP?
Polar Signals is a continuous profiling and performance monitoring service for engineering teams. It records how software uses processor time and memory while it runs in production or test environments. Developers, site reliability engineers and platform teams use it to find slow code, track changes between releases and reduce cloud costs caused by inefficient software.
How Claude connects to Polar Signals MCP through MCP
The Model Context Protocol (MCP) is an open standard that works like a universal adapter. It lets Claude use other software securely, reading information and taking actions only within permissions the organisation sets. Once the Polar Signals connection is in place, Claude can work with profiling data in the same way a team member would, but through a conversation.
Once connected, Claude can typically list the profiling projects available to your team, show recent profiles, and examine where the most time or memory is being used. It can compare a period before and after a deployment, highlight functions that have become more expensive, and summarise findings in plain language so that non-specialists can follow them.
Access is controlled at every step. The connection uses an API key with the scope your team chooses, and read-focused access keeps Claude in an observing role. Any action that changes settings or affects live systems is kept behind human approval, and activity is logged so that your team can review what was asked and answered.
What you can automate
Release regression checks
After each deployment, an engineer asks Claude to compare profiles from the new release against the previous one. Claude highlights functions whose share of processor time has grown, so the team can decide whether to roll back or fix the change before customers notice a slowdown.
Hotspot investigation for slow services
When a customer reports sluggish responses, a support engineer asks which services and code paths consume the most time during peak hours. Claude summarises the top hotspots in plain English, saving the time it would take to browse dashboards manually.
Cloud cost reduction
A finance-minded operations lead wants to know why compute bills are rising. Claude reviews recent profiles to find inefficient code that uses more processor time or memory than necessary, giving the team a shortlist of optimisation opportunities to prioritise.
Weekly performance reviews
A platform team lead asks Claude for a short summary of the week's most significant performance changes across projects. The output becomes a standing agenda item, helping the team track trends without assembling reports by hand.
Onboarding developers to performance work
Newer engineers can ask Claude to explain what a particular profile shows and why a function is expensive. This turns profiling data into a learning resource and reduces reliance on a few senior specialists.
An end-to-end workflow: Release regression alert to ticket
TriggerA new production release is deployed and the release pipeline notifies the platform team.
The engineering lead asks Claude to compare the latest profiles with the prior release through the Polar Signals connection.
Claude identifies functions with a significant increase in processor time and summarises the likely cause in plain English.
Claude drafts a short incident summary with the affected services, the size of the change and the suspected code area.
The lead reviews the draft and approves it before anything is shared outside the team.
The approved summary is passed to Microsoft 365 for the team channel and to the ticketing system as a tracked performance issue, with the relevant owner assigned.
OutcomePerformance regressions are spotted within hours of a release instead of weeks later, with clear owners and an audit trail. Typical teams find that issues are triaged faster, though results depend on how often releases happen and how the workflow is set up.
How we set it up
Free automation audit
We review your engineering and operations processes to identify where profiling insights would save the most time, such as release checks, incident response or cost reviews.
Secure API key connection
We connect Claude to Polar Signals using an API key with the narrowest permissions your team needs, stored in your organisation's secrets management system rather than in code or chat.
Workflow design across your systems
We design how profiling insights flow into Microsoft 365, your ticketing system and other tools, defining where people must approve actions before they happen.
Testing and launch with monitoring
We test the workflow against real past releases and incidents, then launch with monitoring and audit logs so you can see every request Claude makes.
Team training and handover
We train engineers, leads and support staff on asking good questions, reviewing Claude's findings and escalating issues, and we hand over documentation for ongoing use.
Who benefits
- Software engineers
- Get quick answers about slow code and recent changes without digging through dashboards for every question.
- Site reliability and platform engineers
- Spot regressions after releases and respond to incidents with clear summaries and a shared audit trail.
- Engineering managers
- Track performance trends across projects and make decisions about roll-backs and priorities with better information.
- Finance and operations leads
- Understand which inefficient software drives cloud spend and prioritise optimisation work with a measurable case.
Security and control
- Least-privilege API key access, limited to the profiling data your team needs.
- Read-focused use by default, with any change to settings or live systems requiring human approval.
- Complete audit logs of Claude's requests and responses for review and compliance.
- Secrets stored in your secrets manager and rotated on a schedule your security team sets.
- Clear guidance that Claude's findings support engineering judgement and do not replace it.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can host the Claude workflow in their chosen region to match their data handling requirements. Indian organisations are supported in line with the Digital Personal Data Protection Act, 2023, with hosting in India where required. Companies in the Middle East, including the UAE and Saudi Arabia, can align their setup with local data protection laws. We choose the hosting region together with you so that the solution meets your legal and contractual 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 Polar Signals MCP server do?
The Polar Signals MCP server gives AI tools a secure way to reach your profiling data. Through it, Claude can typically list projects, retrieve recent profiles, analyse performance hotspots and detect regressions when you ask in natural language. It acts as a controlled channel, so the assistant only sees what your API key permits.
Is connecting Claude to Polar Signals secure?
Security depends on how the connection is configured. We use an API key with the narrowest permissions possible, store it in your secrets manager, keep Claude in a read-focused role by default and log every request. Consequential actions require human approval, and your security team controls key rotation and access.
What can Claude do with Polar Signals once connected?
Typically Claude can inspect profiling projects, list recent profiles, identify where processor time and memory are used, compare periods to detect regressions and summarise findings in plain English. Its capabilities depend on the permissions granted, and it does not make changes to your systems unless you approve them.
How long does setup take?
Many teams complete a first working connection and a simple workflow within a few weeks, though this varies. Timing depends on how many systems the workflow touches, how quickly your security reviews are completed and how much testing against past releases you want before launch.
Which plan or permissions do I need?
Access depends on the Polar Signals account and the API key your organisation issues. In general, you need an account with access to the projects you want Claude to review and an API key whose permissions match your use case. We confirm the exact requirements during the free automation audit.