"China Phone Number Risk Control Systems and Fraud Prevention" matching MCP servers:

An open-source MCP server for AI-powered fraud prevention that detects fraudulent IPs, emails, URLs, and phone numbers using free APIs and provides actionable risk scores.

Enables AI agents to investigate synthetic fraud cases by pulling transactions, running deterministic rules evaluations, pivoting across devices, and recording auditable case files with provenance.

Enables AI agents to use a real Android phone with a SIM to retrieve phone numbers, receive SMS verification codes, and manage SMS messages.

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

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

MCP server for fraud detection using machine learning, behavioral biometrics, and network graph analysis, with agent-to-agent transaction protection and AI agent fingerprinting.

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.

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.

An open-source MCP server that gives parents real-time oversight and guardrails over their children's AI agent interactions, with features like content filtering, spiral detection, and approval flows.

The control plane for AI prompts that scores, enforces policy, locks config, and audits every prompt decision.

A governance and control layer for MCP tools that manages tool requests as intents through policy-based approval, queuing, or blocking. It enables secure human oversight and audit trails for consequential agent actions across platforms like Claude Desktop and Cursor.

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.

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 fraud analysis and management through Stripe's Radar system, allowing users to assess payment risk, create refunds, and access any Stripe API endpoint. Focuses on fraud detection with automated recommendations while providing full Stripe API access.

Risk Assessment AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Local, read-only MCP server that provides verified access to bounded.tools' signed static API, including the Web-Build Conformance report and SPDX SBOM, with byte-for-byte verification against a Sigstore-signed manifest.

Secures MCP tools as an OAuth 2.1 resource server, validating short-lived delegated tokens, enforcing policy-as-code, and auditing AI agent actions.

A hardened MCP gateway that lets AI agents securely call infrastructure APIs like Kubernetes, Terraform, and Jenkins, with authentication, rate limiting, and OPA policy enforcement.

Provides search, detail lookup, and gap listing tools for a security control inventory, enabling natural language queries about control status and gaps.