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The Coin Daily MCP

Programmatic access to the editorial brain behind The Coin Daily's daily crypto broadcasts. Connect it to Claude, ChatGPT, or any client that speaks the Model Context Protocol, and ground crypto-market reasoning in what the publication actually concluded — instead of guessing from training data.

The publication runs a continuous market-intelligence pipeline: an analyst agent reviews each tracked asset's tape, computes a deterministic direction signal, writes a per-ticker brief, ranks the universe, and produces a Market Analysis Report. A parallel editorial pipeline tracks what the corpus is saying about each asset. Twelve MCP tools expose that work to AI agents.

Get started

  • Quickstart

    Connect the publication to Claude or ChatGPT in about a minute.

  • Authentication

    The connector sign-in (OAuth) and the direct API-key path for developers.

  • Tool reference

    All twelve tools — parameters, returns, and example responses.

  • Use cases

    Worked examples: ground a market read, due-diligence an asset, surface coverage.

What it is

A read-only editorial surface. Every response carries a disclosure field, attribution language, and structured data that an agent can quote, cite, and forward. The publication's value is the editorial framing — refresh cadence, conviction calibration, regime classification, watchpoint discipline — and the MCP preserves all of it.

What it isn't

  • Not a raw market-data feed. For candles, order-book depth, and indicators, use a market-data provider.
  • Not a signal service. The publication doesn't issue trade calls. Levels are structural inflection points the analyst is monitoring — not "buy here, sell there."
  • Not personalised investment advice. The publication doesn't assess any user's circumstances, objectives, or risk tolerance. Every response includes a disclosure that downstream consumers must preserve.

The twelve tools, four surfaces

Market state — the universe-wide read, refreshed regularly:

  • get_active_market_report — the current Market Analysis Report
  • get_macro_frame — a compact narrative summary of the active read
  • get_universe_ranking — the universe ranked by the signal stack, plus directional distribution

Per-ticker tape — what one asset is doing right now:

  • get_ticker_brief — the analyst brief: direction, conviction, levels, developments
  • get_ticker_research — the longitudinal arc across the 2h → 168h lookback windows

Per-ticker editorial — what the corpus is saying about an asset:

  • get_ticker_sentiment — corpus sentiment + attention trajectory across trailing windows
  • get_ticker_critical_events — flagged exploits, depegs, halts, regulatory actions

News intelligence & syndication — what's drawing attention, and the broadcasts themselves:

  • get_trending_tickers — tradeable assets whose editorial attention is accelerating
  • get_trending_entities — the raw, uncurated "what the corpus is talking about" view
  • list_published_coverage — recent shows with YouTube + website URLs
  • get_published_coverage — the full record for one show (script + article body)
  • search_coverage — semantic search across aired segments, with jump-to-moment deep links

See the tool reference for the full contracts.