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Brand-impersonation intelligence for token launchpads MCP server

Which MCP servers are Brand-impersonation intelligence for token launchpads's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-27

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Whose server it is
  • Registry namecom.deepcounterfeit/deepcounterfeitverified in the MCP registry

The registry name sits under deepcounterfeit.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-27
  • Stateanswerschecked 2026-10-27
  • Tools16
  • Server calls itselfdeepcounterfeit
  • Server version1.0
  • Protocol version2025-06-18

On 2026-10-27 the server answered initialize and tools/list without a sign-in. First answer in 129 ms.

Should an agent connect itNot proven either way yet
  • Its tools do every use case we checked: flag memecoins impersonating a brand's official token; review creator risk scores for suspicious token launches.
  • Checked on 1 of the 7 days it takes to judge reliability.

Once connected

  • For "flag memecoins impersonating a brand's official token", the likely first call is search_alerts.
  • For "review creator risk scores for suspicious token launches", the likely first call is creator_reputation.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 1, the first on 2026-10-27
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 1 so far
  • What an agent can do with it2 of 2 use cases
  • Answeredmeasuring1 of the 7 daily checks it takes to print a share
  • Median first answer130 ms
  • Space in an agent's context≈ 3,042 tokensthe definitions of all its tools (16), which an agent carries on every turn
  • Tool definitionsA · 100 of 100
  • Typed results0 of 16 toolsdeclared outputSchema: results come typed, read once
  • Every tool passes all six checks.

What an agent can do with it

  • can do · flag memecoins impersonating a brand's official token
  • can do · review creator risk scores for suspicious token launches
  • not sure · export per-brand takedown evidence reports

Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers16 tools · read 2026-10-27
  • 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.g. a fake SpaceX, Coinbase or NVDAx coin). Returns verdict (likely_impersonation |…

  • check_name

    Run the impersonation detector on a token name and/or ticker symbol without needing an address. Tells you whether a coin called e.g. "SpaceX Official" ($SPACEX) or "TSLAx" would be flagged as impersonating a brand, which brand, and why…

  • search_alerts

    List recent impersonation coins, newest first, filtered by brand, chain, time and severity. Use to answer "are there fake <brand> tokens?", to monitor a brand, or to collect cases for a takedown. Free tier returns alerts older than 24 h…

  • 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…

  • 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. Use to find a brand id or check whether a brand is covered.

  • 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. Use for overviews, trend questions and to check data freshness.

  • search

    Search the impersonation index by brand name, ticker or coin name. Returns result ids for fetch. Prefer search_alerts / check_name when available.

  • 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. Use after search; for a…

  • trace_wallet

    For a Solana wallet (typically a token creator), return where its SOL/USDC went: transfers followed up to 3 hops to exchange hot wallets (Binance, OKX, Coinbase, Bybit, ... from a public label set), likely exchange deposit addresses, its…

  • token_manipulation_score

    Score 0-100 of on-chain patterns consistent with market manipulation for a pump.fun token (last 72 h): bundled launch, creator sell-off, coordinated early-wallet dump, wash-like round-trip volume, serial-launcher group, collapse with…

  • kol_scorecard

    For a public pump.fun caller (wallet or public handle), how often its wallet bought before posting a call, median lead time, how often it sold within 1 h of the call, how often the token fell 50%+ within 1 h, calls on serial-launcher…

  • forensics_case

    Evidence pack for a flagged pump.fun token, creator wallet group or caller: detectors fired (bundled launch, creator sell-off, wash-like trading, sells after a call, caller sold into own call, recurring launch-and-exit) each with…

  • creator_reputation

    For a token creator wallet (Solana or EVM address): how many tokens it launched, first/last launch (UTC), share of launches that were bundled (3+ wallets buying in the first slots), share where the creator sold 90%+ of its tokens within…

  • prebuy_check

    One fast call before buying a token (Solana mint, mainly pump.fun): verdict clear / caution / avoid / unknown, risk_score 0-100 and reasons[] (code + one line). Combines brand imitation and older, bigger tokens with the same ticker…

  • smartmoney_flow

    For a pump.fun token mint: how many proven wallets (statistically positive past results over the last 30 days, net of estimated fees; creators, launch-block buyers, wash-like and clustered wallets removed) bought or sold it in the last 15…

  • get_trial_key

    Create a free 14-day trial API key for your user instantly (no card): real-time data, full evidence and no daily cap instead of the keyless Free tier (24 h delayed, limited free calls per day). ONLY call this with your user's explicit…

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

{
  "mcpServers": {
    "deepcounterfeit": {
      "type": "http",
      "url": "https://deepcounterfeit.com/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http deepcounterfeit https://deepcounterfeit.com/mcp

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://deepcounterfeit.com/mcp as a custom connector in the settings.

OpenAPI spec

74 paths, read 2026-10-27. Open the spec ↗

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.