"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 an MCP client to read conversations and send SMS from your own number through a paired Android phone over KDE Connect on the local network, with no cloud relay or gateway account. It exposes thread listing, message reading, contact lookup, and sending tools that hand requests to the phone via D-Bus.

Enables coding agents to observe and control an authorized Android phone over ADB through MCP tools and a JSON CLI. It supports UI inspection, screenshots, taps, swipes, typing, key presses, app listing, and launching.

Enables users to access and analyze Garmin China fitness and health data, including activities, recovery, trends, and weather heat stress, through 55 tools.

Enables an agent to drive an Android phone attached via USB by reading the screen, deciding next steps, executing actions, and verifying results, all through adb.

Enables AI assistants to assess the risk of crypto wallets, tokens, and smart contracts by providing read-only on-chain analysis, 0-100 risk scoring with explanations, fund tracing, and contract inspection before interaction.

Lets an AI assistant search for, buy, and configure CallTrackingMetrics tracking numbers using your own CTM API credentials, with safety defaults like dry-run purchasing and confirmation before release.

Production-ready MCP server that provides LLMs with essential random generation abilities, including random integers, floats, choices, shuffling, and cryptographically secure tokens.

Analyzes Korean DART (Financial Supervisory Service) public disclosures to detect unfair trading risk signals, enabling users to query and evaluate corporate risk through natural language.

Enables real-time fraud detection and transaction analysis by integrating with Claude through MCP, providing tools to analyze transactions, flag suspicious activity, and manage fraud rules.

Enables Claude clients to score borrower default risk, explain predictions with SHAP, compare applicants, and inspect model metadata through natural conversation. Serves a trained XGBoost model locally over stdio or remotely over HTTP with API-key authentication, keeping confidence transparent by reporting which inputs fell back to training-set defaults.

MCP server exposing Interactive Brokers' portfolio risk analysis, including model greeks, implied volatility surface, what-if margin, and a local stress engine for P&L curve analysis.

Provides an LLM agent with extreme value statistics tools for tail risk analysis, including peaks-over-threshold GPD fitting, VaR and Expected Shortfall estimation, return levels, threshold-stability diagnostics, and out-of-sample VaR backtesting.

Provides Chinese cultural and public data as MCP tools, including random classical poems, Chinese holiday and compensatory workday queries with annual summaries, and historical events for any date.

Enables mortgage risk assessment and underwriting by calculating DTI, LTV, credit risk, income stability, and asset sufficiency, and by aggregating these factors into a loan recommendation with conditions and compensating factors.

Enables LLMs to search Chinese statutes and verify legal citations locally, including detecting fabricated references in generated text. It supports natural-language queries, article lookup, and citation validation without registration, API keys, or network access.

Bridges AI agents to Chinese internet services like Baidu, Bilibili, and Chinese web page extraction without requiring API keys.

MCP server for controlling Android devices via semantic actions with verification, enabling any MCP client to interact with phones through natural language and structured tools.

Provides AI agents with quantitative risk tools such as VaR, expected shortfall, GARCH volatility, backtesting, stress testing, tail risk analysis, and credit scoring using synthetic or user-supplied data.