MCP serverxyz.mindjack/mcp
Solana memecoin rug check for trading agents: pump.fun launches, calibrated rug risk, wallets, KOL.
Overview
Score?
UNRATED 0.798
of what a free look can see, on 30 looks
Looks
35
last 9 hr ago
Tools
26
More info
URL
api.mindjack.xyz/mcp
streamable-http
Says it is
mindjack 1.4.5
protocol 2025-06-18
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.798 · highest on record 0.8561
Toolsfrom sha256:cdcdff1fa8…75116f
| Tool | Schema |
|---|---|
| can_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 that survives. Verdic |
input · output |
| 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 behind it, and how fast thi |
input · output |
| 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_record is the per-trade hi |
input · output |
| compare_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 the roles rather than |
input · output |
| fetch [$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 connect, and whether it |
input · output |
| find_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 count alone puts bots on t |
input · output |
| find_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 (1-100). A time-order |
input · output |
| funder_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 one token is a line it |
input · output |
| get_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 tools will answer 402 |
input · output |
| get_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 start date, so an old |
input · output |
| get_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. Served by the same h |
input · output |
| get_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 ask you to trust a sc |
input · output |
| inspect_token [$0.005] Who is involved: top holders and supply, the sniper / fresh-wallet / insider / early-buyer split, connected-group topology, tracked-trader activity. Counts and structure o |
input · output |
| kol_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 window. Sort by profit, |
input · output |
| kol_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. Untracked addresses ans |
input · output |
| search [$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 for `fetch`. ChatGPT |
input · output |
| search_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 migrated; this finds t |
input · output |
| test_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, collapse speed. Answers pat |
input · output |
| token_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 see whether concentrate |
input · output |
| 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 names the holders; this s |
input · output |
| token_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 measured upside band. Th |
input · output |
| token_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 bonding-curve phase be |
input · output |
| token_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 than the parts; use on |
input · output |
| token_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), link count and clust |
input · output |
| 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. Use when token_identity |
input · output |
| wallet_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, plus a bounded second |
input · output |
Verify it yourself
npx teppi-check https://api.mindjack.xyz/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2R46EDGG58FBF4NVS3RS