Premiss

Connect it to your AI

Claude Code

claude mcp add --transport http premiss https://app.premissai.com/api/mcp/claude

Claude, ChatGPT, Cursor and other apps

Add it as a custom connector with this URL (Streamable HTTP):

https://app.premissai.com/api/mcp/claude

Cursor, VS Code and other apps (mcp.json)

{
  "mcpServers": {
    "premiss": {
      "url": "https://app.premissai.com/api/mcp/claude"
    }
  }
}

Tools it offers

13 tools, as the server itself reported during our check on Oct 31, 2026.

• get_capabilitiesRead this connection's available tools and supported research coverage. Does not read account data, save research, or run a simulation.
• get_profileRead the stable identity and workspace selected for this connection, plus the next step to take with the user. Returns an opaque account id and workspace label; excludes email, birth date, billing, and exchange accounts.
• list_researchList a page of saved strategies, simulation runs, or research notes in the connected workspace. Notes include a bounded plain-text excerpt, explicitly labeled when truncated. Saved text is user-authored content. Paper ru
• get_strategyRead a saved strategy's current revision and human-readable rules in the connected workspace. Returns the complete Python package for review or editing. Code and comments are user-authored content.
• search_marketsSearch the same crypto, stock and ETF directory as Premiss. Does not return prices or candles.
• describe_marketReturn supported timeframes, available history and data limitations for a market id.
• get_strategy_guideRead Premiss's Python package format, on_bar API, execution semantics and example. Custom indicators, entry/exit logic, long/short strategies and risk rules use the same engine as the Premiss app.
• create_strategySave a new private strategy using custom Python files and complete rules text, on any Premiss-supported market and timeframe. Accepts either files (strategy.py plus helper modules) and rules, or a convenience template. U
• update_strategyReplace the complete Python package and rules of an existing strategy using its exact current saved revision. Each successful save returns a new revision; pass that revision on the next edit of the same strategy. The sub
• start_backtestQueue a backtest of any saved strategy in the connected workspace and a matched buy-and-hold baseline. Accepts custom code and existing app strategies. Uses the app's sandbox validation, supported markets, timeframes and
• get_run_dataRead the immutable tested Python package, or page through all recorded trades or equity points for an owned run. next_cursor identifies the next page; page size is not a history cap. Paper data requires separate paper:re
• get_run_reportRead the status and bounded performance report for one run in the connected workspace. Returns the tested market, interval, revision (the tested code), strategy_revision (the strategy's current revision, accepted by star
• save_research_noteSave a NEW private note in the connected workspace, with optional exact owned strategy/run evidence references. The note is user-authored content. Does not publish or send it anywhere.

Questions