"Finding people on LinkedIn using their names" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Observed facts on public MCP servers: protocol checks, tool changes, signed evidence. No verdicts.
Read-only WooCommerce checkout and revenue incident diagnosis using privacy-safe store signals and public release evidence.
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.
Cookieless web analytics your coding agent reads: traffic answers, deploy impact, what broke. One connection covers every site on the account.
Observatory operated and funded by devlo: real tools on frozen tasks; intervals, cost, limits.
AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.
MCP tool observatory: do registry servers answer, and are their answers true? No key.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.
Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.
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.
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.
