"Understanding the Concept of LLM Context" matching MCP connectors:
Matching Connector Tools:
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/
Query 90 days of honeypot probe data: IP reputation, scanners, CVE probing, TLS/SSH fingerprints.
Usage metering + SLA accounting for agent services (the meter behind x402 micropayments).
Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.
Revternal MCP — wraps the Revternal Developer Intelligence API
Checks x402 Bazaar resource listings against the public discovery catalog and flags drops.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
ThreatFox MCP — abuse.ch indicator-of-compromise feed (free, key required)
Check if an AI model is deprecated, retiring, or silently changed price or context window.
Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.
Third-party signed reads of how an AI agent behaved: drift, vows, and the town it works in.
Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.
Live LLM API price + status radar across 11 providers, with public per-model price HISTORY.
LLM provider intelligence: recommendations, pricing, and status
Track cost, latency, and usage of every MCP tool call from any client (Claude, Cursor, Windsurf). Free 25K calls/month — open-source proxy, EU-hosted.
Cloudflare Workers MCP server: llm-output-quality-monitor
Gain visibility into the performance, availability, and health of your apps and infrastructure.
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
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