ScamShield▌
by brokerchooser
ScamShield integrates with BrokerChooser to enhance scam detection, fraud identification, and prevent identity or credit
Integrates with BrokerChooser's fraud detection systems to identify and analyze potential financial scams and suspicious broker activities.
github stars
★ —
best for
- / Due diligence on financial brokers
- / Investment fraud prevention
- / Regulatory compliance checking
capabilities
- / Check broker legitimacy and regulatory status
- / Analyze suspicious trading patterns
- / Detect common investment scam indicators
- / Verify broker licensing information
- / Generate fraud risk assessments
what it does
Connects to BrokerChooser's fraud detection systems to identify suspicious financial brokers and analyze potential investment scams.
about
ScamShield is an official MCP server published by brokerchooser that provides AI assistants with tools and capabilities via the Model Context Protocol. ScamShield integrates with BrokerChooser to enhance scam detection, fraud identification, and prevent identity or credit
how to install
You can install ScamShield in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
ScamShield is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the ScamShield MCP server?
- ScamShield is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for ScamShield?
- This profile displays 26 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★26 reviews- ★★★★★Shikha Mishra· Dec 24, 2024
ScamShield is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Kwame Tandon· Dec 12, 2024
According to our notes, ScamShield benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Mia Torres· Nov 3, 2024
ScamShield has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Lucas Gonzalez· Oct 22, 2024
We evaluated ScamShield against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Oshnikdeep· Sep 17, 2024
ScamShield is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Emma Zhang· Sep 17, 2024
According to our notes, ScamShield benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Kwame Farah· Aug 8, 2024
We wired ScamShield into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Ganesh Mohane· Aug 4, 2024
Useful MCP listing: ScamShield is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Lucas Ramirez· Jul 27, 2024
We evaluated ScamShield against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Sakshi Patil· Jul 23, 2024
ScamShield reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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