"RISC-V" matching MCP servers:

Enables AI agents to access VirusTotal intelligence through MCP, supporting file, URL, domain, and IP lookups, plus analysis, via remote HTTP or local stdio.

Mandatory human approval gate for autonomous AI agents. Before any critical, irreversible, or financially significant action executes — file deletion, production deployment, financial transaction — the agent calls oracle_validate. A human receives a real-time Telegram notification with full context and taps Approve or Reject. The agent waits for the decision before proceeding.

OS keychain secrets for AI coding agents, over MCP. Anchors credentials to the native vault (macOS Keychain, Linux Secret Service, Windows Credential Vault) and exposes them through 44 policy-governed tools: per-environment values, TTL, linked rotation, encrypted transfer bundles, redacted exec, and a tamper-evident audit log. Local-first, no cloud account.

MCP server that lets agents order temporary phone numbers, receive SMS verification codes, and manage activations via nine simple tools.

MEOK CRA Annex Iv Classifier - MCP server providing AI-powered tools and automation by MEOK AI Labs

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Governed agent execution gateway for LLM workflows, providing deterministic FSM-based execution, audit trails, and idempotency guarantees via MCP.

A local stdio MCP server that enables coding agents to discover credential handles and create scoped action requests with local approval and sanitized output.

Autonomous M2M compliance and trust APIs for AI agents (KYB, OFAC, VAT, Sanctions checking).

Enables triage, installation validation, and controlled automation of X-Ways Forensics and related tools through structured MCP tools for agents.

Enables an AI agent to preflight concrete tool calls by recording principal, destination, scope, authority evidence, and relations, allowing only formed actions to execute and producing inspectable evidence receipts.

Enables local-first, fail-closed security auditing of AI coding outputs by detecting Korean PII, secrets, configuration risks, and MCP-native threats, while mediating runtime events and gating releases with actionable verdicts and next steps.

Enables LLM clients to safely perform file operations such as create, read, edit, delete, move, copy, and more, with every path checked against an explicit permission database managed through a desktop GUI.

缔零法则MCP是基于LLM和RAG技术搭建的实现完全替代人力的全自动化风险识别的内容安全审查平台，致力于通过代理AI技术减少人力成本，高效高精度为用户提供分钟级接入的内容风控解决方案，破解安全威胁，提供从风险感知到主动拦截策略执行的全链路闭环与一体化解决方案。This MCP tool is an AI-powered content security review platform built on LLM and RAG technologies, designed to achieve fully automated risk identification that completel

Enables LLM clients to read and modify MS-SQL, PostgreSQL, MySQL/MariaDB and SQLite databases through 38 MCP tools, with every table, view, function and procedure gated by explicit permission rules that deny by default. Ships with a desktop GUI for authoring rules, approving destructive operations and auditing what the model did.

Enables security scanning of code projects to identify common vulnerabilities like XSS, injections, SSRF, and path traversal issues. Provides local, offline scanning with severity-grouped results and actionable fix suggestions for improving code security.

GDPR Chapter V runtime guard for cross-region agent transfers. Supports adequacy decisions, SCCs, BCRs, and IDTA.

Performs comprehensive crawler compliance risk assessment for webpages, evaluating legal, ethical, and technical risks including robots.txt rules, anti-crawling mechanisms, sensitive data detection, and providing crawl permissibility ratings.

Provides MCP tools to check a package's maintenance status, licence, and security advisories before you depend on it, with per-call payment in USDC on Base mainnet via x402.

Enables CVE lookups and risk assessment by integrating CISA Known Exploited Vulnerabilities (KEV) data and CVSS metrics. It helps users prioritize patching efforts by ranking vulnerabilities based on exploitation status and calculated risk scores.