"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.

Provides systems thinking models as composable analysis lenses for architecture, infrastructure, DevOps, incident analysis, and technical decision-making.

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.

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

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.

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.

Validates the format and check character of 18-character Unified Social Credit Identifier codes offline, while clearly stating what a passing code does not establish about the company.

Model Context Protocol server for real-time US climate risk and home insurance metrics.

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.

The MCP server behind Constat — FDA & NHTSA regulatory-risk intelligence for AI agents, over the Model Context Protocol. Live public regulatory data — recalls, adverse events, warning letters, 510(k) premarket evidence, postmarket drift signals, reimbursement pathways, and vehicle safety. Decision support, not regulatory advice.