"A YouTube channel named Franko Leban" matching MCP connectors:
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SSRF-safe web intelligence: 4 outcomes, 43 paid x402 tools, 3 free tools and a URL preview.
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).
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/
Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
Ten machine-readable signals on one public page: the top miss if any, and a receipt we re-verify.
Inventory and audit your agent fleet over MCP: audit_mcp_config returns risk-ranked findings with a 0-100 posture score, scope_check ranks tool-manifest blast radius, audit_skill_file and injection_scan screen untrusted skill files and text, and inventory_report builds a governance inventory with risk tiers. All analysis is deterministic and local to the request.
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
Benchmark-first release surface with a read-only MCP endpoint and operator CLI.
Official MCP: continuous supply-chain risk monitoring and early warning, not a one-off report.
Fuses biometric signals into a stress score (0-100) for AI adaptation. MCP + A2A native.
Free IPv4 lookups against a distributed attacker-observation corpus.
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax
Furgonetka MCP Server is an extension for LLMs (such as Claude) that integrates AI assistants with Poland's most popular courier brokerage platform. The server enables models to interact directly with services from various couriers (including InPost, DPD, DHL, UPS, and Poczta Polska) through a single, unified interface. With this integration, your AI stops just "writing about logistics" and starts actually managing it.
Ships with 42 pre-built text processing agents (sentiment analysis, keyword extraction, SEO metadata, code explanation, grammar checking, and more) totaling 259 endpoints. All code runs sandboxed in isolated child processes. Supports Streamable HTTP and stdio transports. Includes rate limiting, caching, analytics with p50/p95/p99 latency tracking, and a web dashboard.
Interact with a global network measurement platform.Run network commands from any point in the world
Website carbon footprint auditor. CO2/page, grade A–F, green hosting check, and recommendations.
Privacy-first web analytics, exposed to your AI agent as a first-class data source. The agent sees your traffic, referrers, geos, devices, live visitors, and custom events, and can reason across them. Ask what changed since the last deploy, why a campaign underperformed, which segment of signups actually activated, or have it build a conversion funnel and alert you when bounce rate spikes.
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.
Assemble a scheduled operations digest