"Information on PowerPoint (PPT) presentations" matching MCP connectors:
Matching Connector Tools:
AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.
Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.
Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.
Manage Kubernetes clusters, deployments, databases, secrets and observability on Mengi Cloud.
Draw your app's architecture on a live canvas and flag the bottlenecks and security gaps.
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.