INDIVIDUAL MCP TOOL
list_brands
List the brands on the watchlist (companies, tokenized stocks, crypto projects, private companies) with ids, tickers and all-time alert counts, most-targeted first.
LIVE ENDPOINT
https://deepcounterfeit.com/mcp
Connect to this endpoint to inspect the live schema for list_brands and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.deepcounterfeit]
url = "https://deepcounterfeit.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"deepcounterfeit": {
"type": "http",
"url": "https://deepcounterfeit.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: deepcounterfeit
Remote MCP URL: https://deepcounterfeit.com/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"deepcounterfeit": {
"url": "https://deepcounterfeit.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"deepcounterfeit": {
"type": "http",
"url": "https://deepcounterfeit.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "deepcounterfeit",
"transport": "streamable-http",
"url": "https://deepcounterfeit.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
check_token— Look up a deployed token by contract/mint address and report whether it impersonates a real company, its "official" token or its tokenized stock (e.check_name— Run the impersonation detector on a token name and/or ticker symbol without needing an address.search_alerts— List recent impersonation coins, newest first, filtered by brand, chain, time and severity.get_brand_report— Summarise impersonation activity against one brand over a window: number of fake coins, traded volume, breakdown by chain/match type/severity, repeat creator wallets, how many creators bought 50%+ of supply, and the top cases with evidence.get_stats— Aggregate numbers for a window: alerts, high-severity count, brands hit, by chain, by match type, top brands, data-source health and coverage.search— Search the impersonation index by brand name, ticker or coin name.fetch— Fetch the full check_token result for a result id returned by search (format "<chain>:<address>"): verdict, matched brands, match type and explorer links; with an API key also risk score, reasons and creator facts.