"A guide to everything about Meta Ads" matching MCP servers:

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

Enables self-hosted Google Ads and Meta Ads management through MCP, with human approval, hard spending limits, and audited writes; agents like Claude Code or Codex can connect to ad accounts while the server controls all credential access and platform writes.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Enables deploying a secure MCP gateway that proxies, sandboxes, and policy-governs third-party MCP servers, with credential vaulting and audited tool access across stdio, SSE, and Streamable HTTP.

Enables an MCP server to gate tools/call requests by requiring a per-send channel-policy attestation for outbound actions, checking ROPE-lite origin tags on sensitive arguments, and returning SEP-2643-shaped structured denials with retry handles and remediation hints when a call is blocked. It logs client-asserted audit context (such as turnId and userIntent) for correlation across allowed and denied calls, but never uses that receipt for allow/deny decisions.

An MCP server that sends plain-text Gmail messages only to a predefined allowlist, using generated recipient IDs instead of email addresses to enforce security.

Provides agent certification and trust verification tools for AI agents, enabling certification checks, trust score calculations, audit ticket issuance, and emergency kill switch activation through the A-SOC trust network.

Enables AI agents to manage VPN infrastructure through provisioning, lifecycle control, traffic routing, and health monitoring.

Enables removal of AI provenance metadata and invisible watermarks from images, and injection of realistic camera EXIF profiles to make them appear as authentic photography.

Detects financial fraud and AI agent transaction risks using machine learning, behavioral biometrics, network graph analysis, and agent-to-agent protection.

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.

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.

Enumerates everything in a code checkout addressed to an AI agent, including instruction files, hook commands, declared MCP servers, and skills/subagents, so you can review what your agent will actually follow.

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.

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.

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

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

Exposes a local-first personal brain to any MCP client, letting agents perform identity-grounded memory recall, simulate stances and value conflicts, propose or approve audited guardrail changes, take snapshots with drift comparison, and run a neural validation harness. Everything runs against a local SQLite neuron/synapse memory graph with consent-gated, append-only auditing.

Provides access to a malicious URL database API, enabling users to search, list, and retrieve information about potentially dangerous URLs for security analysis and threat detection.