Appxiom Agent Skills and MCP Server for AI Coding Agents

AI coding agents now write a large share of the code that ships to production. We built two things so your agent can work with Appxiom directly: Agent Skills that teach it how to integrate the Appxiom SDK, and an MCP server that gives it live access to the bugs your users actually hit.

Both work with Claude Code, Cursor, GitHub Copilot and Antigravity.

Appxiom skills are SKILL.md instruction files that teach your coding agent how to set up the Appxiom SDK and how to read Appxiom data correctly. There is one npm package each for Android, iOS, Flutter, Web and MCP.

Install them from your project root with a single command, for example npx @appxiom/android-skills add all. The CLI detects your agent's skills folder from .claude, .agents or .cursor.

• Core setup: dependencies, initialization and error reporting.
• Screens and network: screen tracking, UI hang detection and HTTP monitoring.
• Goal tracking and activity trails: instruments your critical workflows, with naming rules and your approval.
• Test issue: a temporary call to verify the integration, removed again before release.

The Appxiom MCP server connects your coding agent to Appxiom through the Model Context Protocol. Instead of pasting raw logs into a chat, your agent reads structured issues, activity trails and Goal Friction Impact, so it can find the bug that matters most and fix it with real context.

Copy the MCP URL from the Appxiom docs and add it to your agent. Your dashboard session handles authentication, so there are no tokens to manage.

Skills teach your agent how to set up Appxiom and how to interpret its data. The MCP server gives it the data itself. Install the @appxiom/mcp-skills package alongside the MCP server and your agent can rank goal drop-offs, classify issue severity and read Quality Score the same way your team does.