"Improving React Native Development Experience" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Query analyzed WebRTC sessions: observations, deductions, experience scores, and AI summaries.
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
Agent-native uptime monitoring. Create, inspect, and assert monitor health. Free 50-monitor tier.
MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.
