"How to Run a Python Script" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Read in-app bug reports, crashes, screenshots and tickets from mobile, web and TV apps.
Scores code against a repo's own incident history, rolled into an 8 index Production Reliability Index (PRI). Exposes suggest_code, save_recommendation, and get_scan_report as tools.
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Query your Google Search Console, GA4 and Bing Webmaster data across every site you run.
Website monitoring: add sites, configure and run monitors, read health, review results, apply fixes.
Independent AI-governance measurement MCP. Free reads + x402 evidence. Measurement not cert.
Ask Claude, ChatGPT, Cursor or any AI tool how your site is doing — the answers come from your own Google Analytics 4 (GA4) property. Paste https://app.anacraft.dev/mcp, sign in with Google and pick your site; nothing to install. Twelve tools: headline metrics against the previous period, live visitors, top pages, events, referrers, traffic sources and countries, page and event search, and an audit that checks whether the GA4 property is measuring correctly before its numbers are quoted. One tool writes: it creates a GA4 property and web stream for a new domain and returns the tag to paste.
Website monitoring for any site, deepest on WordPress & WooCommerce: add sites, configure and run monitors, read health and performance, review results with undo, apply proposed fixes.
Check your WhatsApp numbers, connection status and webhooks, and send a text when you confirm.
Check your cron jobs, recent runs, workflows and webhooks, and run a job now when you confirm.
The elmah.io MCP server allows AI assistants to interact directly with your error logs, deployments, and organization statistics. Debug production issues faster than ever before.
GXEON services, prepaid packs from R$0.99, purchase planning, and agent buyer guidance.
Wash-filtered intelligence layer for x402 — read-only access to category stats, service details, wash analysis aggregate, service search, and 24h trends.
Warm CDN and reverse-proxy caches: manage sites, run warms, read cache-hit stats.
Seller-side analytics for AI-agent discovery, settled revenue, delivery, and repeat use.
Nephia is a brand monitoring service, and this is its remote MCP server. Claude, Cursor, ChatGPT or any MCP client can read the mentions your brand gets on 14 sources: X, Reddit (posts and comments), YouTube, TikTok, Bluesky, Hacker News, Mastodon, Lemmy, GitHub, Product Hunt, Stack Overflow, any RSS feed, Vinted, and AI answers from ChatGPT, Gemini and Perplexity. Every mention arrives already read, with its sentiment and intent, so an agent can answer plain questions: which complaints came in since Friday, what Reddit said about us this week. The source is an argument, not a tool, so one call reads every source you watch. Sign-in is OAuth in the browser: no API key to copy. The consent screen has three permissions: read your mentions and Queries, change what is running (pause, resume, retire), and spend credits (semantic search and AI passes), which arrives unticked. Every tool description states its cost, so a model can budget before it spends. The server is on every plan, Free included, and reading your own mentions through it costs nothing.
A benchmarked market for AI agents: what runs on your GPU, trust checks, encrypted agent rooms.
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).
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.
Find your AI agent's likely failure mode, get runtime settings, and clarify ambiguous prompts.
