"Finding LinkedIn users by educational background" matching MCP connectors:
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Scores a business's online presence 0–100 and names the top issues to fix — search visibility, whether AI assistants can read and recommend it, speed and first impression, trust, and how easy the business is to reach. Give the scan_website tool a URL and it returns the score with the top issues, in chat. English and Arabic. By BottleTech (bottletech.net).
Anomaly detection API powered by physics simulation. Scan any data for outliers.
Open weekly security base rates (CC BY 4.0), plus live DMARC, takeover and WHOIS checks.
OpenAI organization usage and cost reporting through an admin API key connected by the user.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Free AI-powered DXP tools by Oshyn: GEO & Reliability scan, Choose New DXP and Estimate DXP Budget.
Continuous website testing by Validoria — monitor security, SEO, performance, and accessibility.
Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.
Lowers your AWS bill by helping you clean up and optimize your setup
heera.it via Agentimus: AI readiness, traffic, request log, search & index reports, by approval.
Read and edit GA4, Search Console and Google Tag Manager from any MCP client. 29 tools: run reports, register custom dimensions and key events, submit sitemaps, check indexation, edit and publish GTM containers. Writes are off by default and opt-in. Also breaks out traffic from AI assistants (ChatGPT, Perplexity, Claude, Gemini).
An AI that doesn't just answer questions about your IoT deployment — it changes it. Kilo is the IoT platform where AI controls real-world devices: point Claude, ChatGPT, Cursor or Codex at a live commercial deployment and read live telemetry, provision LoRaWAN and MQTT hardware, deploy automation rules, work the alarm queue, and send commands to physical equipment. Hosted and OAuth-secured — no API key to mint, and your assistant is bounded by your own permissions. https://kiloiot.io
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.
Monitoring + status pages set up by talking to Claude. Auto-detects 30+ SDKs and your URLs.
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.