"Overview of Command Line Interface Usage" matching MCP servers:

Exposes the ConnectWise Command (Continuum) ITSupport247 Reporting API as MCP tools, enabling querying of sites, devices, patches, antivirus, performance, and more.

A secure server that allows LLM applications like Claude to execute whitelisted system commands with user confirmation and comprehensive security features.

Supply chain risk scoring for npm, PyPI, and GitHub repos

Provides 18 tools for repository snapshot, release readiness, secret scanning, and approval-gated file writes with backup and audit log.

Enables agents to prove and verify that a real, unique human performed an action, issuing machine-readable signed credentials with public verification.

Enables secure execution of shell commands through a dynamic approval system that prompts for user authorization on first use, with persistent command storage and comprehensive audit logging.

Enables secure execution of penetration testing commands on Kali Linux through Server-Sent Events with intelligent command validation, real-time monitoring, and comprehensive audit logging. Designed for authorized security research and penetration testing workflows.

Enables MCP clients to exchange an MCP-audience token for a Microsoft Graph token and call Graph as the signed-in user, with tools for identity verification and recent mail access.

A governed MCP server exposing 37 risk-checked tools with signed Ed25519 receipts on a Bitcoin-anchored ledger, failing closed if governance or receipt writing fails.

Enables interaction with the Huntress SAT API to manage security awareness training, including learners, phishing campaigns, and training assignments. It supports OAuth2 authentication and optional role-based access control for secure organizational management.

Enables LLMs to make HTTP requests with OAuth2, session cookies, retry logic, and cURL command generation, while providing security features like SSRF protection and TLS enforcement.

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

A consequence engine for shell commands. Blast Scope scores what a command would actually do before an AI agent runs it.

An MCP server that lets an AI agent orchestrate credential placement without ever seeing the secret value, while a human-controlled interface independently authorizes the destination.

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.

Exposes Microsoft 365 privacy/compliance audit checks as MCP tools, enabling natural language queries about tenant configuration, orphaned documents, Conditional Access policies, DLP policies, and Copilot usage.

An independent review layer for AI-generated text: a 10-lens gate run by a separate model over output it did not write, returning the flagged line and the reason for each check rather than a single opaque verdict. A check that cannot complete reports unknown instead of a pass; lens_health needs no API key.

Policy-based governance for AI agent tool calls. YAML policies, approval gates, risk assessment, and audit logging across LangChain, OpenAI, Anthropic, and MCP.