Inspector APM
Inspector MCP server by Valerio Barbera that provides AI assistants with direct access to Inspector APM (Application Performance Monitoring) data for debugging and performance analysis. Built with PHP using the php-mcp/server library and Guzzle HTTP client, it integrates with Inspector's REST API to retrieve production errors, transaction performance data, and detailed execution timelines. The implementation offers four main tools: retrieving recent production errors with AI-powered fix suggestions, analyzing individual errors with stack traces and code context, identifying worst-performing transactions with categorization by criticality, and examining detailed transaction timelines including database queries and N+1 detection. Designed for developers and DevOps teams who need conversational access to production monitoring data, enabling use cases like proactive debugging, performance optimization, and incident response without manually navigating the Inspector dashboard.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/inspector-apm/mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Inspector APM from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.