"Controlling Ableton Live music production software" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Live status probes plus published uptime and incident history for 280+ APIs and cloud services.
Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di
Monitoring for the agent economy — liveness, latency, trust scoring for MCP endpoints
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Read-only triage for n8n, MCP, webhook, and AI agent workflow production failures.
Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.
Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.
Manage status pages: components, incidents and maintenances; set live component status.
Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.
Read-only production error evidence for coding agents investigating failures.
Live status, API pricing and rate limits for ChatGPT, Claude, Gemini, Cursor and 42+ AI tools.
Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence across 17 channels without analyzing content.
- RevelaraOAuthai.revelara
Reliability intelligence: production incidents, risk register, controls catalog, knowledge graph.
Governed access to production AI-agent traces in an existing ClickHouse store.
Production observability for AI agents: search runs, read evaluations, acknowledge incidents.
Discover software problems, analyze evidence, and create implementation-ready Build plans.
