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Audited crypto intelligence for AI trading agents, with pre-trade checks, win-rate-scored signals, liquidation maps, and market regime data.
Do not connect
A critical issue was found. Do not connect this server as-is.
Scanned 1 month ago Due for re-check
A server can change after it's graded. Re-run the automated scan to refresh this report.
This grade is deterministic and reproducible: the same server surface always yields the same grade under a given algorithm version. It is a real automated assessment computed by the MCPGrade engine from what the probe actually observed — not a fabricated or opinion score. It is not a manual human pentest, so it can miss context-specific risks.
Every signal below was measured directly by the automated probe. The grade is derived only from evidence like this — nothing is assumed.
The n0brains MCP server exposes 52 tools, focused primarily on general-purpose capabilities. Its published description reads: "Audited crypto intelligence for AI trading agents, with pre-trade checks, win-rate-scored signals, liquidation maps, and market regime data". It communicates over Streamable HTTP using the 2025-06-18 protocol revision, and does not require authorization to connect. MCPGrade currently rates n0brains F — a critical issue was found and the server should not be connected as-is. Its most notable findings include "Cross-tool shadowing" and "Cross-tool shadowing". This report is a deterministic, reproducible automated assessment: the same observed surface always yields the same grade under a given algorithm version, and it is refreshed as new scans arrive and free to read — but it is not a substitute for a manual human security review. Always re-check n0brains's advertised tools, transport security, and authorization posture before connecting an autonomous agent or sharing sensitive context with it.
Add n0brains to an MCP client using the endpoint below. Review the grade and findings above before granting an autonomous agent access.
MCP endpoint
https://api.n0brains.com/mcp/Streamable HTTP transport. This is the MCP endpoint, not a website — paste it into your MCP client server list rather than a browser.
Captured passively during the read-only scan. Click any value to find servers that match it.
The tools this server advertises via tools/list — names, purposes, and the parameters each accepts, exactly as enumerated read-only.
[RAW FEED — engine inputs, NOT trade calls] List active n0brains signals with optional filters. Filters: asset (e.g. 'ETH'), signal_type (whale|sentiment|listing|regulatory|macro|macro_pulse|liquidati
[RAW FEED — detail] Fetch a single signal by ID with full enrichment (historical_edge, paired_inverse, latency, priced_in fields). Returns 404 semantics via tool error if signal not found.
Sorted worst-first. Each finding shows its severity, what it means, its OWASP MCP Top-10 mapping, and a recommended fix — the check id links to the exact methodology row that produced it.
tool: list_signals
A tool description tries to alter the model’s use of another tool.
able output use get_actionable_signals.RecommendationDescriptions must describe only their own tool.
tool: get_performance
A tool description tries to alter the model’s use of another tool.
able badge, use get_proof instead.RecommendationDescriptions must describe only their own tool.
tool: get_actionable_signals
A tool description tries to alter the model’s use of another tool.
o rank_trades / get_trade_plan — a signal-gate miss does not mean no setup exiRecommendationDescriptions must describe only their own tool.
tool: get_usage
A tool description tries to alter the model’s use of another tool.
lls — free tier check_trade is 3/day (get_check_history shows the remainingRecommendationDescriptions must describe only their own tool.
tool: get_state
A tool description tries to alter the model’s use of another tool.
d of stitching get_macro + get_market_state + get_levels. Drill down onlyRecommendationDescriptions must describe only their own tool.
tool: get_state_brief
A tool description tries to alter the model’s use of another tool.
tive layer over get_state; the structured payload rides along in `data`).RecommendationDescriptions must describe only their own tool.
tool: get_indicators
A tool description tries to alter the model’s use of another tool.
confluence with get_levels.RecommendationDescriptions must describe only their own tool.
tool: get_market_regime
A tool description tries to alter the model’s use of another tool.
cl. this block: get_market_brief.RecommendationDescriptions must describe only their own tool.
tool: get_asset_class_proof
A tool description tries to alter the model’s use of another tool.
rypto board use get_performance or REST /proof. Not financial advice.RecommendationDescriptions must describe only their own tool.
tool: get_proof
A tool description tries to alter the model’s use of another tool.
d — richer than get_performance: per-signal-type measured post-signal performanRecommendationDescriptions must describe only their own tool.
tool: get_positioning
A tool description tries to alter the model’s use of another tool.
bining get_liquidation_map + get_options + funding. Mirrors REST /positionRecommendationDescriptions must describe only their own tool.
tool: get_long_short
A tool description tries to alter the model’s use of another tool.
xt. Complements get_positioning (the 8-leg synthesis) with the raw who-is-long-RecommendationDescriptions must describe only their own tool.
tool: check_trade
A tool description tries to alter the model’s use of another tool.
o is crowded) + get_event_outlook (scheduled risk inside the horizon) for the fulRecommendationDescriptions must describe only their own tool.
tool: get_check_history
A tool description tries to alter the model’s use of another tool.
own] Your past check_trade assessments WITH resolved outcomes: each row isRecommendationDescriptions must describe only their own tool.
tool: get_checkable_assets
A tool description tries to alter the model’s use of another tool.
support by error. Contract: count === len(assets); `degraded: true` meansRecommendationDescriptions must describe only their own tool.
tool: log_trade
A tool description tries to alter the model’s use of another tool.
e — an internal check_trade) so nothing needs hand-transcribing. HISTORICALRecommendationDescriptions must describe only their own tool.
tool: close_trade
A tool description tries to alter the model’s use of another tool.
trade_id (from log_trade or get_journal). Optionally exit_price (defaultRecommendationDescriptions must describe only their own tool.
tool: void_trade
A tool description tries to alter the model’s use of another tool.
ve existed; use close_trade for real trades that ended. Pro.RecommendationDescriptions must describe only their own tool.
tool: get_journal
A tool exposes a free-text/webhook/feedback parameter with no honest purpose — a classic exfil channel.
ked), limit for history (default 20). Open trades include live unrealizRecommendationRemove side-channel parameters; constrain tool inputs.
tool: get_market_brief
A tool description tries to alter the model’s use of another tool.
omic_calendar / get_actionable_signals / rank_trades, assembled server-side. OptionalRecommendationDescriptions must describe only their own tool.
tool: get_narrative
A tool description tries to alter the model’s use of another tool.
ng? Complements get_mindshare_coin (attention share) with time-structure. MirrorsRecommendationDescriptions must describe only their own tool.
tool: (server instructions)
A tool description tries to alter the model’s use of another tool.
d of exploring the catalog tool-by-tool: n0brains = measured market intelRecommendationDescriptions must describe only their own tool.
The server accepts tool enumeration (and likely invocation) with no authentication.
RecommendationRequire OAuth 2.1 authorization for any server exposing non-public tools.
tool: close_trade
The server advertises open-world / broadly-scoped capabilities.
annotations.destructiveHint = trueRecommendationScope tools to the minimum needed.
tool: amend_trade
The server advertises open-world / broadly-scoped capabilities.
annotations.destructiveHint = trueRecommendationScope tools to the minimum needed.
tool: void_trade
The server advertises open-world / broadly-scoped capabilities.
annotations.destructiveHint = trueRecommendationScope tools to the minimum needed.
tool: (server instructions)
The description pairs a fetch imperative with a hardcoded external URL, letting the server relocate its real instructions off-metadata and mutate them after review. Fires only when a fetch verb and a URL co-occur, so benign documentation links do not.
lved outcomes), https://n0brains.com/proof. TIERS: free = check_trade 3/day, 15-min delayedRecommendationDo not direct the model to fetch and act on external URLs; treat linked content as untrusted.
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[MONITORING] Polling alternative to the /stream WebSocket. Returns active signals with timestamp > `since_timestamp` (unix epoch seconds). Use the returned server_timestamp as the next call's since_ti
[RAW FEED — detail+context] Composite call: signal + same-asset S/R levels + active macro bias. Saves 2-3 round trips. Returns a dict (not a typed model — the composite shape varies).
[DRILL-DOWN — history rhymes] Semantic similarity search across the signal corpus: give a coin and/or a free-text query (q), get the k most similar past signals ranked by embedding cosine similarity —
[TRUTH ANCHOR] THE canonical current price (live exchange mid) for a coin — the single source of truth every other n0brains tool's spot/current_price should agree with. Returns {coin, price, source, a
[TRUTH ANCHOR] Batch canonical prices for several coins in one call. coins = comma-separated symbols, e.g. 'BTC,ETH,SOL' (max 50). Returns {prices:{SYM:price}, missing:[...], source, age_secs}.
[DRILL-DOWN] Support/resistance levels for a coin (e.g. 'BTC', 'ETH', 'SOL'). Reads from levels_engine + Hyperliquid mids. Levels are detected on THREE timeframes — 15m (3 days back), 4h (90 days) and
[CONTEXT] Current macro bias (regime, BTC/ETH bias + conviction, calendar risks). Mirrors REST /macro current snapshot. Honesty overlay applied: fields marked uncalibrated, insufficient-data flags sur
[CONTEXT] Active signals whose direction AGREES with the current macro bias (conviction ≥ 0.6). Uses the same rule the internal pipeline uses to boost confidence x1.12 (vs CONFLICTS, which dampens x0.
[RECEIPTS] Backtest performance over last N days (1-365, default 30). Same data as REST /performance. Note: no asset filter — performance is aggregated across all assets. Performance is the live forwa
[DRILL-DOWN] Latest TradFi market open prices for BTC/ETH/SOL across sessions. Source: watchers.market_opening_watcher.get_latest_opens(). Same data as REST /market-opens.
[START HERE — 'find me a trade'] Signals the production trade-gate itself marked actionable (action_hint=trade_signal — the engine's per-(type,direction) proven verdict), age ≤ max_age_min. Skips anti
[RECEIPTS] Cells from cell_stats.json with inverse_flagged=true. These are (signal_type × direction × regime) buckets where the empirical win-rate is below the inverse_thresholds floor with sufficient
[META] Liveness + lightweight pipeline stats: uptime, signals in last 1h, current macro regime, classifier backlog. Mirrors REST GET /health with extra context. Pro-gated (per tools/call rule) — use R
[META] Your own API usage: total calls, per-day series and top endpoints over period '7d' or '30d'. Use it to budget calls — free tier check_trade is 3/day (get_check_history shows the remaining count
[DRILL-DOWN] Liquidation map for a coin (e.g. 'BTC', 'ETH'), binned into price clusters — the same feed that powers positioning's liq_magnet and market_state's target/invalidation. Shows long/short im
[DRILL-DOWN] Return-correlation + beta of a coin to BTC and ETH over a 7d window of 15m log returns, plus its most/least correlated peers. Descriptive statistic (correlation is not causation). Same da
[CONTEXT] Altseason/rotation read: is capital rotating INTO alts (altseason) or back to BTC (risk-off)? rotation_score in [-1,1] from relative-strength breadth + correlation trend. Breadth is a PROXY,
[DRILL-DOWN] Options analytics for a coin (BTC or ETH): ATM implied vol, skew (put-call IV proxy — the fear gauge), IV term structure, put/call OI ratio, and max-pain, from public Deribit data. Positi
[DRILL-DOWN] Aggregate sentiment for a coin: net directional lean (confidence-weighted, recency-decayed), chatter volume + velocity (is it accelerating?), and contributing sources, over 24h. Coverage
[DRILL-DOWN] Mindshare leaderboard: each asset's share of crypto attention across n0brains' sources over the window, ranked, with velocity (rising / falling / emerging). The edge is a coin's attention
[DRILL-DOWN] One coin's mindshare: its attention share %, rank, and velocity vs the prior window (rising/falling/stable/emerging). Same data as REST /mindshare/{coin}.
[START HERE — coin snapshot] Unified whole-system snapshot for one coin: current price, per-coin market-state consensus (proven-voter directional read), nearest support/resistance levels, liq-map targ
[DRILL-DOWN — prose brief] LLM-written 'state of <coin>' in markdown: joins the headline consensus, macro composite, levels, technical indicators and flow context into one readable analysis you can qu
[DRILL-DOWN] Technical indicators for a coin (e.g. 'BTC', 'ETH', 'SOL', 'XRP'): RSI(14), MACD, SMA/EMA (20/50/200 + 200-week), Stochastic, and FIBONACCI retracement levels (90-day swing). Returns dail
[STEP 2 — plan one coin] Assembled trade plan for one coin: direction, entry, strongest target, stop, risk/reward, sizing hint, options context (put/call + skew), and warnings (max-pain timing against
[STEP 2 — pick the coin] Cross-asset ranking: assembled trade plans for the given coins sorted by setup_score (best first) — answers 'which coin is the better trade right now?'. coins = comma-separate
[CONTEXT — market overview] Market-wide risk-appetite read: risk-on / risk-off / squeeze from a blend of the macro composite, cross-sectional breadth, funding regime and vol. Answers 'do conditions fa
[CONTEXT] Net cross-asset liquidity map: Fed net liquidity, stablecoin dry-powder, total perp OI, liquidation pressure, net taker flow. Answers 'where is liquidity?'. Mirrors REST /liquidity. Descript
[CONTEXT] Cross-asset flows: crypto rotation, crypto-vs-tradfi OI split, institutional posture (ETF flow / COT / 13F, descriptive). Answers 'where are funds going and is the market buying something ot
[RECEIPTS — experimental] Emergent edge discovery: corroboration class-combinations mined from the shadow ledger vs realized forward returns, ranked by measured edge (honesty-gated, both-halves). Surf
[TIMING] Scheduled macro + earnings calendar — the 'knows WHEN' feed. Upcoming high-impact US macro releases (CPI, NFP, FOMC, PPI, GDP) and tracked single-name earnings (NVDA, TSLA, MSFT, +) with cons
[RECEIPTS] Per-non-crypto-asset-class forward-return scoreboard (asset_class = stock | index | metal | commodity). Measured on that class's own rows + baseline (stock excess vs SP500; index/metal/comm
[RECEIPTS] The full public forward-return proof board — richer than get_performance: per-signal-type measured post-signal performance with the proven-gate `tradeable` badges, plus the SWING boards. Ar
[CONTEXT] Nearest historical market-state analogs to right now: k-NN over the cross-asset state (SPX/NDX momentum, VIX level + term structure, DXY, yield curve) with what SPX/NDX/BTC actually did over
[TIMING] Upcoming scheduled macro releases + earnings joined with each event's MEASURED historical reaction distribution (event-study library, grouped by surprise sign): 'CPI prints Thursday — the las
[DRILL-DOWN — who is crowded] Positioning thesis for one coin: who is crowded and which way. Combines funding-rate crowding (30d z-score), taker CVD buy/sell dominance (2h + 24h), open-interest-vs-pri
[DRILL-DOWN] Long/short positioning for one coin from REAL data, mode picked by the asset's primary source: DEX price-point buckets (Hyperliquid+GMX, BTC/ETH-style), CFTC COT (metals/oil/indices), or
[START HERE — 'vet my trade'] Ask n0brains First: graded pre-trade conditions assessment for a proposed trade. Give asset + side (long/short); optionally entry, stop, target, leverage, horizon_hours (
[RECEIPTS — your own] Your past check_trade assessments WITH resolved outcomes: each row is the trade as you submitted it, the grade it got, and (once the horizon passed) the side-adjusted result with
[META] The asset universe check_trade / get_trade_plan / get_levels can price: Hyperliquid perp coins + tokenized HIP-3 stocks/metals/indices. Call once instead of discovering support by error. Contra
[JOURNAL] Log a REAL trade entry into your private n0brains journal the moment it fills. Give asset + side (long/short); optionally entry (defaults to live price), stop, target, size_usd, leverage, th
[JOURNAL] Close a journal trade by trade_id (from log_trade or get_journal). Optionally exit_price (defaults to live price) and note (exit reasoning). n0brains resolves the outcome from real candles o
[JOURNAL] Amend an OPEN journal trade by trade_id: move your stop or target, fix size_usd / leverage / thesis. A stop MOVE changes only the current stop (what the watchdog and close-time touch scan us
[JOURNAL] Void a mis-logged journal trade by trade_id (wrong asset, duplicate, fat-finger) with an optional reason. Soft-delete: the trade is removed from your stats and the default journal view but r
[JOURNAL] Read your private trade journal. status=open|closed|void|all (default all shows open+closed; void is hidden unless asked), limit for history (default 20). Open trades include live unrealized
[READ FIRST] The routing guide for every n0brains tool: which tool answers which intent (find a trade / vet a trade / coin snapshot / market brief / monitoring) and how to interpret the honesty fields
[START HERE — market overview] One-call morning brief: market regime (risk appetite), liquidity read, high-impact events next 72h, the engine's actionable reads (has_trade_signal + reads[]), and cross
[FORENSICS] Trust / scam-risk screen for a token: resolves the ticker to a contract via DexScreener, then checks GoPlus Security for honeypot behavior, mint function, high taxes, and insider concentra
[FORENSICS] Manipulation-risk analysis for one asset: composite manipulation score, coordinated-pump probability, fake-engagement risk, liquidation-cascade detection. Richer than the per-signal manipu
[FORENSICS] Narrative heatmap for one asset: signal momentum, velocity, decay, manipulation probability and directional conviction across 1h / 4h / 24h windows — is the story building or dying? Comple