"Information about computer usage" matching MCP servers:

Safety middleware for AI computer use agents that monitors, enforces policies, and provides guardrails to enable safe desktop interaction.

Enables querying and analyzing Tenable Vulnerability Management audit logs, including activity summaries, API key usage, and anomaly detection through MCP tools.

Enables AI agents to read Microsoft 365 tenant data, such as users, license usage, and stale accounts, while enforcing least-privilege by refusing to run with excessive Azure permissions.

Enables AI agents to run read-only AWS security audits and receive normalized, severity-ranked findings about account posture, such as stale access keys, missing MFA, public buckets, open security groups, and CloudTrail coverage.

Enables MCP clients to check URLs for scam/phishing risks, get verdicts with confidence and severity, report false positives, and monitor plan usage.

A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.

A read-only MCP server for the Qualys PCI Merchant API that lets LLM assistants answer questions about PCI compliance posture, such as which hosts are failing PCI or listing high findings.

An MCP server that exposes 43 domain tools behind 4 meta-tools, applying guardrails such as budgets, rate limits, schema validation, human-in-the-loop confirmation for mutations, PII redaction, and an append-only audit log while reducing context window usage.

Enables LLM agents to extract, validate, and mask personally identifiable information using deterministic regular expressions, reducing token usage and hallucination risks.

A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.

MISP (Malware Information Sharing Platform) MCP server with built-in prompt injection defense via prompt-defense-audit

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

Enables observability and governance for local LLMs via Ollama, including auditing model usage, scanning prompts for secrets/PII, and enforcing allow/deny policies.

Automates Android app analysis using Frida via AI commands, connecting a rooted Android phone to a computer and running dynamic analysis scripts without manual command execution.

Provides threat intelligence lookups against the AbuseIPDB database, enabling IP reputation checks, CIDR block analysis, and log enrichment. It features intelligent caching and rate limiting to efficiently manage API usage for security analysis and automated workflows.

Exposes the OpenAI Admin API as MCP tools, enabling management of organization members, projects, service accounts, API keys, rate limits, usage, costs, and audit logs through natural language.

Enables local detection of protected health information in source code before it reaches LLM prompts, log statements, or analytics calls.

Enables read-only access to Circle parental-control data, including family profiles and per-profile internet usage.

Provides conversational access to a local CVE (Common Vulnerabilities and Exposures) database, enabling natural language queries to search vulnerabilities, retrieve detailed CVE information, and view security statistics.

Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence.