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Appxiom MCP Server

Fix Production Bugs Faster
With the Appxiom MCP Server

Connect any coding agent, including Cursor, Claude Code and Antigravity, to Appxiom. Your agent reads structured issues, user journeys and Goal Friction Impact instead of raw logs, so it finds the bug that matters and fixes it with real context.

coding-agent
Example session

You

Query Appxiom MCP for the highest-friction checkout drop-offs on iOS.

Appxiom MCP result

App Hang on Pay with Apple Pay

Estimated impact

$14,200 / hr

Checkout drop-off

24.2%

Blocked thread

main

Activity trail

6 steps

Cart, address, payment, tap on Confirm Apple Pay, then a synchronous Keychain read freezes the main thread for about two seconds.

Agent

Moving the Keychain read off the main actor and adding a regression test.

Illustrative example based on our iOS MCP case study.

The Problem

Pasted Logs Make Agents Guess

When you paste console output into a coding assistant, it gets thousands of noisy lines, no user journey and no idea which bug matters. It fills the gaps with guesses. The MCP server gives it the facts instead.

Raw logs compared with Appxiom MCP data
What the agent seesRaw logsAppxiom MCP
Data formatUnstructured console prints and hex addressesTyped, structured data
Token use4,000 to 8,000 tokens of noisy outputAbout 350 to 500 tokens of diagnostic signal
User journeyNot visibleActivity trail of user actions
Stack traceUnsymbolicated machine offsetsSymbols with file and line numbers
Business impactAn unordered error countGoal Friction Impact per issue

Token figures come from Appxiom's iOS MCP case study. Your numbers will vary.

What Your Agent Can Read

Production Data, Ready for Your Agent

The same data you see in the Appxiom dashboard, exposed to your coding agent through the Model Context Protocol.

Triage

Issues and severity

List and filter issues by severity, from fatal to minor, so the agent works on what is actually breaking.

Prioritize

Goals and Goal Friction Impact

See which goal drop-offs hurt conversion most and which bugs sit behind them.

Release health

Quality Score

Check release stability and understand why a score moved between versions.

Root cause

Occurrence telemetry

Read activity trails, function and network parameters, device hardware and runtime state for any occurrence.

Setup

Connect Any Coding Agent in Under Two Minutes

The Appxiom MCP server works with any agent that supports MCP over HTTP. While you are signed in to your Appxiom dashboard, your session authenticates the connection. There are no tokens to manage.

Connect Cursor

Add this to .cursor/mcp.json in your project, or to the global Cursor MCP settings.

  1. 1Copy the config below.
  2. 2Paste it into your Cursor MCP settings.
  3. 3Reload Cursor and ask your first question.
.cursor/mcp.json
{
  "mcpServers": {
    "appxiom": {
      "url": "https://app.appxiom.com/ax/app/api/mcp"
    }
  }
}

Try asking

  • Which bugs should I fix first this week?
  • Show the activity trail for the top checkout issue.
  • Why did the Quality Score drop in the latest release?
  • List all fatal issues on Android and group them by screen.
MCP Skills

Skills That Teach Your Agent to Read Appxiom Data

The MCP server supplies the data. These four skills tell your agent how to rank, classify and explain it.

Goal friction analysis

goals

Ranks goal drop-offs, device impact and funnel health so the agent can answer which bugs to fix first.

npx @appxiom/mcp-skills add goals

Issue severity classification

severity

A standard way to classify issues as fatal, major or minor based on business impact and error rates.

npx @appxiom/mcp-skills add severity

Quality score interpretation

quality

Explains Quality Score values, release stability and why a score dropped.

npx @appxiom/mcp-skills add quality

Occurrence telemetry analysis

telemetry

Guides root cause analysis across activity trails, function and network parameters, device hardware and runtime state.

npx @appxiom/mcp-skills add telemetry

Install all four

Looking for SDK setup skills for Android, iOS, Flutter or Web? See all Appxiom skills.

@appxiom/mcp-skills on npm
npx @appxiom/mcp-skills add all
Debugging Time

From a Working Day to Minutes

In our iOS case study, fixing a silent production hang took 5 to 8 hours the traditional way and about 10 to 15 minutes with Appxiom MCP and an AI agent.

Debugging time by stage, traditional workflow compared with Appxiom MCP
StageTraditional workflowWith Appxiom MCP
Triage and prioritization45 to 60 minutes1 minute
Issue reproduction2 to 4 hours2 minutes
Root cause analysis1 to 2 hours2 minutes
Fix and verification60 minutes5 to 8 minutes
Total5 to 8 hours10 to 15 minutes

Figures are from one iOS scenario in Appxiom's case study. Results depend on your app and team.

Everything You Need to Know

Appxiom MCP Server FAQs

Answers about connecting your coding agent, the data it can read and how MCP compares with pasted logs.

Give Your Coding Agent the Full Picture

Start a free trial, connect the MCP server and let your agent work from real production data.

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