"Intel" matching MCP servers:

Provides Kubernetes deployment intelligence with typed query tools and AI-synthesized risk briefs, enabling users to list workloads, get detailed snapshots, query Prometheus metrics, record deployment history, and generate risk assessments before promoting to production.

Enables MCP clients to query YouTube channel health, diagnose video performance, full-text search transcripts, and vet topics/scripts directly from an editor or chat interface.

Security intelligence API for AI models. CVE lookup with EPSS/KEV, domain recon (DNS, WHOIS, SSL, subdomains, WAF), and code security checks (secrets, injection, headers). 16 tools, no API key required.

Provides access to Grips Intelligence e-commerce analytics data through Model Context Protocol. Enables querying domain performance metrics, channel breakdowns, ad spend data, and device analytics for e-commerce businesses.

Aggregates real-time threat intelligence from multiple sources including Feodo Tracker, URLhaus, CISA KEV, and ThreatFox, with IP/hash reputation checking via VirusTotal, AbuseIPDB, and Shodan for comprehensive security monitoring.

Enables checking IP reputations and threat intelligence by querying Chaitin's global honeypot network and millions of defense nodes. Provides real-time IP profiling, malicious behavior detection, and threat alerts based on aggregated security data.

Revnuvo Company Intelligence tells AI agents what changed at a company, with evidence. It observes company websites, technologies, and DNS over time and returns timestamped, confidence-aware changes, signals, and monitoring.

Provides KPI tools for factory intelligence, including productivity, quality, downtime metrics, and alarm analysis via TimescaleDB.

Analyzes AI agent traces to diagnose failures, score performance, and provide actionable fixes using tools like judge_trace and trace_breakdown.

Enables AI agents to investigate Splunk exports or live queries using deterministic detectors and an iterative analysis loop, all running locally without data leaving the machine.

al-time AI ecosystem intelligence for agents: 1,250+ classified AI security incidents, API pricing for 26 models across 7 providers, GPU cloud pricing, live provider status and cross-signal company analysis. No API key required.

Extends Veeam Intelligence to MCP-compatible clients, enabling secure, real-time operational insight across Veeam Backup & Replication, Veeam ONE, and VSPC via natural language or AI workflows.

A standalone Python/FastAPI server that implements the Model Context Protocol (MCP) for the OPTIX threat intelligence platform. It exposes 26 analyst-friendly tools that AI assistants and programmatic consumers can use to query threat feeds, search documents and indicators, manage watchlists, triage IOCs, generate detection rules, trigger AI research, and produce intelligence reports.

Enables AI assistants to analyze Azure Data Factory costs, detect waste, and provide optimization recommendations by querying pipeline run metadata and Azure pricing.

Enables real-time monitoring of system resources including CPU, GPU (NVIDIA, Apple Silicon, AMD/Intel), memory, disk, network, and processes across Windows, macOS, and Linux platforms through natural language queries.

Enables querying threat intelligence data about files, URLs, IPs, and domains from multiple abuse.ch platforms (MalwareBazaar, URLhaus, and ThreatFox) through a unified API. Provides comprehensive security reports and threat analysis data for cybersecurity investigations.

Enables natural language interfaces for complex Jenkins pipeline operations, including monitoring, analysis, and optimization through AI-powered conversations in VSCode and Cursor.

Wraps Intel VTune Profiler CLI as MCP tools, enabling Claude Code to analyze performance data such as hotspots, summaries, and comparisons via natural language.

Provides ML-powered revenue intelligence for sales and customer success teams, enabling lead scoring, churn risk detection, and conversion predictions with explainable feature attribution and production monitoring capabilities.

A high-performance MCP server integrated with a Django analytics dashboard, featuring 19 tools for AI interaction tracking, AST code analysis, and real-time token efficiency metrics.