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Premiss

by app.premissai.com in AI models & inference

MCP serverPassing, checked 4 h ago

Create Python strategies and backtest crypto, stocks and ETFs in Claude. Premiss account required.

https://app.premissai.com/api/mcp/claude
Tools
13
open to any client
Uptime
100%
last 30 days
Response time
185 ms
343 ms slowest 5%
Last check
Passed
4 h ago, next in 3 h

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How to connect

Add it to any MCP client that supports remote servers.

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

13 tools

  • get_capabilities

    Read this connection's available tools and supported research coverage. Does not read account data, save research, or run a simulation.

  • get_profile

    Read the stable identity and workspace selected for this connection. Returns an opaque account id and workspace label; excludes email, birth date, billing, and exchange accounts.

  • list_research

    List 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 runs require the separately approved paper:read permission…

  • get_strategy

    Read 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_markets

    Search the same crypto, stock and ETF directory as Premiss. Does not return prices or candles.

  • describe_market

    Return supported timeframes, available history and data limitations for a market id.

  • get_strategy_guide

    Read 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_strategy

    Save 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. Uses the same package format as the app. Returns code and…

  • update_strategy

    Replace the complete Python package and rules of an existing strategy using its exact current saved revision. The submitted package replaces all existing files. Supports all Premiss markets and timeframes. The app's active-run and shared-file protections apply; does not change…

  • start_backtest

    Queue 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 date rules. Requires the exact saved revision. Uses 10,000…

  • get_run_data

    Read 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:read permission. Saved code is user-authored content.

  • get_run_report

    Read the status and bounded performance report for one run in the connected workspace. Returns the tested market, interval, revision, and recorded rules when verifiable. Historical plugin runs include the paired buy-and-hold baseline when completed. Paper reads require…

  • save_research_note

    Save 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.

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