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Servidor MCP de n0brains

Qué servidores MCP son de n0brains, del registro oficial y encontrados preguntando a su propio dominio, si responden y qué ofrecen. Un programa comprobó cada dato; nada está copiado de la página del producto.

leído el 2026-10-24

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De quién es el servidor
  • Nombre en el registrocom.n0brains/mcpverificado en el registro MCP

El nombre en el registro está bajo n0brains.com. El registro solo permite usar ese espacio de nombres a quien demuestra control del dominio por DNS o HTTP.

Cuando le preguntamoscomprobado el 2026-10-24
  • Estadorespondecomprobado el 2026-10-24
  • Herramientas52
  • El servidor se llaman0brains
  • Versión del servidor1.27.1
  • Versión del protocolo2025-06-18

El 2026-10-24 el servidor respondió a initialize y tools/list sin iniciar sesión. Primera respuesta en 241 ms.

¿Debe un agente conectarlo?Conectarlo
  • Sus herramientas hacen todos los casos de uso comprobados: assess crowding, event risk and liquidity before entering a trade; check stop placement and falsifiers for a proposed position; feed pre-trade conditions reads to an AI agent via API.

Una vez conectado

  • Para "assess crowding, event risk and liquidity before entering a trade", la primera llamada probable es check_trade.
  • Para "check stop placement and falsifiers for a proposed position", la primera llamada probable es check_trade.
  • Para "feed pre-trade conditions reads to an AI agent via API", la primera llamada probable es check_trade.
  • Parámetros sin tipo o sin descripción en 39 de 52 herramientas: revisa los argumentos antes de llamar.

Lo dicen reglas a partir de las mediciones de arriba. La primera llamada probable la elige un modelo de la lista de herramientas; lee su descripción antes de fiarte.

Medido cada díacomprobaciones diarias: 12, la primera el 2026-10-24
  • Nota INITE MCP94 de 100responde 100 · hace el trabajo 100 · definiciones 88 · contexto 70 · conexión 100
  • Qué puede hacer un agente con él3 de 3 casos de uso
  • Respondióel 100% de los días12 de 12 comprobaciones diarias
  • Mediana de la primera respuesta243 ms
  • Espacio en el contexto del agente≈ 9100 tokenslas definiciones de todas sus herramientas (52), que el agente lleva en cada turno
  • Definiciones de herramientasB · 88 de 100
  • Resultados tipados19 de 52 herramientasdeclaran outputSchema: el resultado llega tipado y se lee de una vez
  • Parámetros sin descripción: en 39 de 52

Qué puede hacer un agente con él

  • puede · assess crowding, event risk and liquidity before entering a trade
  • puede · check stop placement and falsifiers for a proposed position
  • puede · feed pre-trade conditions reads to an AI agent via API

Cada caso de uso del producto se le preguntó a Jev junto con la lista de herramientas de este servidor: ¿puede un agente hacerlo con estas herramientas?

Conviene revisar

Ninguna de las cinco señales de alerta en estas definiciones.

Un programa comprueba el servidor una vez al día: initialize y tools/list, sin modelo. Los tokens son la longitud de las definiciones, a unos cuatro caracteres por token. La nota promedia seis comprobaciones del nombre, la descripción, el esquema y las anotaciones de cada herramienta; dice lo bien descritas que están, no si funcionan. La nota pondera solo lo medido: si responde (25%), si hace el trabajo del producto (25%), definiciones (20%), contexto (10%), uso (10%) y lo fácil que es conectarse (10%). Lo que no se midió queda fuera, y una instrucción oculta limita la nota a 40. El estado de los servidores MCP de los proveedores: método y números →

Herramientas que ofrece52 herramientas · leído el 2026-10-24
  • list_signals

    [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|liquidation|funding|hack|price|other)…

  • get_signal

    [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.

  • get_signals_since

    [MONITORING] Polling alternative to the /stream WebSocket. Walks the signal stream in emission order (timestamp, id) from a cursor: pass `since_timestamp` (unix epoch seconds) and, to resume exactly, the `since_id` from the previous…

  • get_signal_with_context

    [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).

  • find_similar_signals

    [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 — 'have we seen this setup before and…

  • get_price

    [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, age_secs, ts}. Use this to sanity-check…

  • get_prices

    [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}.

  • get_levels

    [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 1d (2 years) — and every level…

  • get_macro

    [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 surfaced.

  • get_macro_aligned_signals

    [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 x0.88). macro and macro_pulse signal…

  • get_performance

    [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 forward-return record by signal type…

  • get_market_opens

    [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.

  • get_actionable_signals

    [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-predictive cells. Also returns…

  • get_anti_predictive_cells

    [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 sample. Signals in these cells get…

  • health

    [META] Liveness + lightweight pipeline stats: uptime, signals in last 1h, current macro regime, classifier backlog, local-LLM classify breaker state (mode/open/consecutive fails). Mirrors REST GET /health with extra context. Pro-gated…

  • get_usage

    [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). Mirrors REST /usage. Private to…

  • get_liquidation_map

    [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 imbalance per zone (long_usd vs…

  • get_correlation

    [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 data as REST /correlation/{coin}.

  • get_rotation

    [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, not true BTC dominance. Uncalibrated…

  • get_options

    [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. Positive skew = downside hedging/fear…

  • get_sentiment

    [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 is CURATED high-edge authors — what…

  • get_mindshare

    [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 ACCELERATING before price moves…

  • get_mindshare_coin

    [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}.

  • get_state

    [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 target/invalidation, and the shared macro…

  • get_state_brief

    [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 quote to a user directly (the narrative…

  • get_indicators

    [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 daily + weekly timeframes plus a…

  • get_trade_plan

    [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 the trade, entry near a liq cluster)…

  • rank_trades

    [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-separated (default BTC,ETH,SOL). Mirrors GET…

  • get_market_regime

    [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 favor risk right now?'. Mirrors REST…

  • get_liquidity_map

    [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. Descriptive, not advice.

  • get_cross_asset_flows

    [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 other than crypto?'. Mirrors REST…

  • get_discovery

    [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). Surfaces patterns nobody hand-coded…

  • get_economic_calendar

    [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 consensus/previous, and actual + surprise…

  • get_asset_class_proof

    [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/commodity absolute). Intel-only: the…

  • get_proof

    [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. Args: asset_class…

  • get_market_analogs

    [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 the following 1d/5d (median…

  • get_event_outlook

    [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 last N hot prints moved SPX/BTC X%'…

  • get_positioning

    [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-price divergence (new longs /…

  • get_long_short

    [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 exchange long/short ratios (alts)…

  • check_trade

    [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 (default 24). Returns grade A..F with…

  • get_check_history

    [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 stop-touch honored. This is your…

  • get_checkable_assets

    [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. Contract: count === len(assets); `degraded…

  • log_trade

    [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, thesis (why you took it). n0brains…

  • close_trade

    [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 over the held window: return %, R…

  • amend_trade

    [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 use); realized R stays measured against…

  • void_trade

    [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 retained and recoverable (get_journal…

  • get_journal

    [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 PnL/R and a warning if your stop…

  • get_playbook

    [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 (action_hint, historical_edge, n_eff…

  • get_market_brief

    [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-asset trade-plan ranking — compact…

  • get_trust

    [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 concentration. Run this BEFORE taking any…

  • get_manipulation

    [FORENSICS] Manipulation-risk analysis for one asset: composite manipulation score, coordinated-pump probability, fake-engagement risk, liquidation-cascade detection. Richer than the per-signal manipulation_score field — this is the full…

  • get_narrative

    [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? Complements get_mindshare_coin (attention…

Cómo conectar

Añade el servidor a la configuración de tu cliente MCP. Claude Desktop, Cursor y la mayoría de los demás clientes leen este formato:

{
  "mcpServers": {
    "n0brains": {
      "type": "http",
      "url": "https://api.n0brains.com/mcp/"
    }
  }
}

Añadirlo

Claude Code, en una terminal

claude mcp add --transport http n0brains https://api.n0brains.com/mcp/

Añadir a CursorAñadir a VS Code

claude.ai, ChatGPT y otros clientes: añade https://api.n0brains.com/mcp/ como conector personalizado en los ajustes.

Cada línea es algo que un programa encontró al buscar: la entrada del registro, la respuesta del propio servidor, una especificación que se puede leer. Si falta una línea, es que no la encontramos, no que no exista.