"Finding people on LinkedIn using their names" matching MCP connectors:

Diagnose AI agent failures & translate ambiguous human input into clear intent using RPCS-1.

Pay-per-call URL intelligence for AI agents via x402 USDC on Base; no account or API key.

Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.

Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.

Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.

Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.

Pay-per-call live telemetry, environmental metrics, transit state vectors, blockchain reads, network/security lookups and real-time utilities for AI agents using x402 and MCP.

Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.

Security intelligence via x402 on Base. CVE lookup, IP reputation, secret scanning.

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.

CPU telemetry & benchmarking, SHA-256 hashing, AES-256-GCM storage, AI video/image via Nova.

Vet any MCP server before you depend on it: live health from GitHub, npm and PyPI.

Enables monitoring and management of Ruckus Unleashed WiFi controllers, including APs, clients, WLANs, and system events. MCP server for Ruckus Unleashed (tested on R500/R600, built-in Embedthis-Appweb web server). Uses aioruckus to talk to the controller's AJAX API.

Monitor MCP servers, API contracts and AI outputs for schema drift. Alerts on breaking changes.

Hosted OAuth-protected Google Search Console MCP for analytics, URL inspection, sitemap management, indexing requests, and SEO diagnostics. The endpoint runs on Cloudflare Workers and exposes 17 tools.

Provide AI-powered real-time analysis and intelligence on NPM packages, including security, depend…

Monitor Bluesky for new brand mentions, keywords and account posts. Alerts only on new results.

Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.

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.

Debug production issues using Shipbook logs and Loglytics error insights.