# Mindjack MCP server

Source: https://glimind.com/server/mcp-registry%2Fxyz.mindjack%2Fmcp
Registry id: `mcp-registry/xyz.mindjack/mcp`
Status: live (checked 2026-10-26T20:44:47.757Z)

## Verdict

Mindjack MCP server answered 99.69% of Glimind's liveness checks over 30 days, better than 19% of MCP servers, with 1485 ms median handshake and 18 outages in 90 days. Its agent-readiness grade is A (99/100) across 26 tools, costing an agent about 3,994 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 99.69% | 19% of MCP servers |
| Median handshake latency | 1485 ms | 11% of MCP servers |
| p95 handshake latency | 3371 ms | — |
| Checks in 30 days | 4,861 | — |
| Outages, 90 days | 18 | — |
| Median recovery | 6 min | — |
| Agent-readiness score | 99/100 (A) | 93% of MCP servers |
| Tools | 26 | — |
| Tool-list size for an agent | ~3,994 tokens | 41% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "mindjack-mcp-server": {
      "type": "http",
      "url": "https://api.mindjack.xyz/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http mindjack-mcp-server https://api.mindjack.xyz/mcp
```

## Tools (26)

- `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 t
- `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 
- `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
- `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 th
- `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 conn
- `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 
- `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 (
- `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 on
- `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 t
- `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 s
- `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. 
- `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 a
- `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. Co
- `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 win
- `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. Unt
- `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 f
- `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 mi
- `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, collaps
- `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
- `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
- `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 meas
- `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 bo
- `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 th
- `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), 
- `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 
- `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, p

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.