BTC Intel

Connect Remote server

claude mcp add --transport http btc-intel https://btcintel.org/mcp

{
  "mcpServers": {
    "btc-intel": {
      "url": "https://btcintel.org/mcp"
    }
  }
}

{
  "servers": {
    "btc-intel": {
      "type": "http",
      "url": "https://btcintel.org/mcp"
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://btcintel.org/mcp

Tools 13 found in our last check

• get_bitcoin_today

  Use for "what is Bitcoin doing and why", first: one morning briefing from BTC Intel's published Brief and Full Read. It gives the price now with its 24-hour, 3-day and 12-month moves and the distance from the cycle high; the market read in one sentence; the five areas (Technical…

• get_calendar

  Use for the events ahead that can move Bitcoin: macro releases (CPI, jobs, the Fed), options expiries, the difficulty adjustment and Bitcoin dates, each with its date, Eastern time and one line on why it matters. Example: days 3 lists what lands before the weekend. For today's r…

• get_area

  Use for one named area of the market ("how is on-chain?", "what is liquidity saying?"), as its Analysis page shows it today: the read, how confident it is and when it last changed, the read by horizon (days, weeks, months), the reasoning in plain English (what holds it up, what…

• get_plan_rules

  Use for the published Intel DCA ladder: what each plan (Defensive, Balanced, Growth) does on payday in each Score band (buy, save, or sell a set share once), word for word from btcintel.org/intel-dca/, with the notes under the ladder. Example: plan Balanced with score 34 returns…

• get_score_live

  Use for today's complete live picture in one paid call: the latest published BTC Intel Score (0–100) and its classification, its historical position (the share of recorded days below and above it, daily since July 2011, backtested with the current method before live publication)…

• get_score_for_day

  Use for the Score on one day: its value (0–100), its classification (Low, Moderate-low, Neutral, Elevated or High) and whether the day is live or backtested (daily since July 18, 2011, backtested with the current method before live publication). Choose it for a single day; for t…

• get_score_momentum

  Use for recent change: how many points the Score moved over 1, 7, 30 and 90 days, and how many days it has held its current classification. Choose it to see whether the Score is rising or falling; for the values themselves use get_score_history, for averages and distributions ge…

• get_score_statistics

  Use for a summary of the record: the historical position (the share of recorded days below and above the latest reading), mean, median and range, days per 10-point band, the share of days per classification, and counts of stretches and moves between classifications. Choose it to…

• get_score_history

  Use for the raw daily series: one row per day with the Score, its classification and a live or backtested mark (daily since July 18, 2011, backtested with the current method before live publication), as JSON or CSV, 100 rows a page. Choose it to chart or export values; for one d…

• get_classification_history

  Use for the periods the Score spent in each classification (Low, Moderate-low, Neutral, Elevated, High): the start, end and length in days of each, newest first, 100 a page, each marked live or backtested. Choose it to see when a classification last held and for how long; for da…

• get_read_for_day

  Use for a past day's record, by date: the Full Read and the five market areas with their state words (Adverse, Cautionary, Neutral, Constructive or Supportive) as stored that day, and for the latest stored day the Brief's headline. Choose it to look up what the read was on a giv…

• get_methodology

  Use for definitions, not data: what the Score is, its five classifications, the record's dates, how it is published and checked, and what live, backtested, historical position and the Delayed date mean. The method itself is private. For Score values use get_score_for_day or get_…

• get_market_detail

  Use for the five market areas broken into their published components: each area (Technical, On-chain, Market structure, Sentiment, Macro) with its state on the five-step scale (Adverse, Cautionary, Neutral, Constructive, Supportive), explanation, last change and edition time, an…

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