xyz.mindjack/mcp
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Publisher-provided description
Solana memecoin rug check for trading agents: pump.fun launches, calibrated rug risk, wallets, KOL.
Summary by lookupd
Checks Solana memecoins for rug risk, sellability, insider wallets and sibling-token links, with measured hit rates and per-call pricing.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http mcp https://api.mindjack.xyz/mcp
Claude Code, npm package (stdio)
claude mcp add mcp -- npx -y @mindjack/mcp
Codex, remote (streamable-http)
codex mcp add mcp --url https://api.mindjack.xyz/mcp
Codex, npm package (stdio)
codex mcp add mcp -- npx -y @mindjack/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"mcp": {
"url": "https://api.mindjack.xyz/mcp"
}
}
}Cursor, npm package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"mcp": {
"command": "npx",
"args": [
"-y",
"@mindjack/mcp"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (26 tools)
Publisher-provided text
check_token[$0.001] Is this Solana token dangerous? A calibrated rug verdict whose probability is a MEASURED frequency (see get_scorecard), the concentration facts behindinspect_token[$0.005] Who is involved: top holders and supply, the sniper / fresh-wallet / insider / early-buyer split, connected-group topology, tracked-trader activity. Cotoken_report[$0.025] check_token + inspect_token + token_identity in one call. depth="full" ($0.07) adds the outcome path, live sellability and the wallet graph. Cheaper thtoken_identity[$0.025] Who is BEHIND this token: what its largest holders did in earlier launches, which sibling tokens the same wallets ran and how those ended, and the measfind_tokens[$0.005] Recently analysed tokens, each already carrying a verdict, to rank locally before paying for depth. Filters: hours (1-168), min_mcap, platform, limit (check_wallet[$0.006] One wallet across every token we indexed: launches it appeared in, how many ran, roles it recurs in, realised record. Works for any address. kol_recordcan_i_exit[$0.005] Can this token be sold RIGHT NOW, and what does a round trip cost: real Jupiter buy and sell routes at $100 and $1000, and the fraction of your money ttoken_changes[$0.025] Who sold since we analysed it: reads the chain now and diffs the large positions against what we recorded. Use when a cached read feels stale or to seetoken_price_path[$0.005] What the token did after we called it: peak, drawdown from peak, and where it stands now, at 4-5 second resolution. Our feed starts at analysis; the bofind_serial_insiders[$0.025 per 25] Wallets that keep turning up as insiders across the whole index. Each row carries the wallet's full footprint, because ranking on insider countcompare_tokens[$0.025] Were these tokens run by the same people? Give 2-4 mints and get the wallets appearing in more than one, each with the role it played in each. Weigh thtest_hypothesis[$0.025] Measure what happened to every indexed launch matching your filters: rug rate against the index base rate, peak-gain percentiles, time to peak, collapsget_scorecard[free] Our measured hit rate per risk band, and how fast each band tends to collapse. Read this to decide how much weight to give our verdicts. Most risk APIs aget_sample[free, no key] One fixed token answered in full: the complete check_token, inspect_token and token_identity responses, each carrying the price that call costs.token_graph[$0.04] The wallet relationship graph behind a token: edges with strength and confidence, cluster membership and role, wash-trading wallets. token_wallets namestoken_wallets[$0.005] The NAMED wallets behind one token: insiders, snipers, early buyers, fresh wallets, wash traders and tracked KOLs, each with funder (exchanges named),token_web[$0.04] Earlier launches tied to this token through shared wallets, with the wallets themselves, each launch's outcome and its highest recorded market cap. Usewallet_network[$0.025] Who one wallet is wired to across the index: direct counterparts with interaction counts, shared tokens, transfer direction where the chain shows it, pkol_leaderboard[$0.02/page] Every tracked KOL wallet, ranked from the recorded trades: lifetime realized SOL, per-token win rate on NET realized SOL, and a recent-activity winkol_record[$0.02] One tracked KOL in depth: lifetime stats, per-token history from every recorded trade (buys, sells, volume, realized SOL) and the latest trades raw. Untfunder_networks[$0.025/page] Funders ranked by how many fresh wallets they seeded across the whole index, each labelled when we know the exchange behind it. A funder inside onsearch_tokens[$0.005/page] Find a token in the analysed catalogue by symbol, name fragment or exact mint, with platform, size and age filters. find_tokens lists what just misearch[$0.005/page] ChatGPT entry point: the same catalogue search as search_tokens (same endpoint and price) returning {id, title, url} rows, each id a Solana mint ffetch[$0.025] ChatGPT entry point: everything we hold on one token as one document: the calibrated verdict with its measured hit rate, who holds it and how they connget_coverage[free] What we hold and how fresh, plus a live example mint guaranteed to have data. Call this first: we index every pump.fun and letsbonk migration since our sget_balance[free] Credits remaining on your key. There is no free allowance: a new key starts at zero and is funded with a USDC deposit, so a balance of 0 means the paid t
Details
- Version: 1.4.5
- Transports: streamable-http, stdio
- Uptime (7 days): 100%
- Median latency: 1171 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/freyotrisolana/mindjack-mcp
- Website: https://api.mindjack.xyz
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