# Premiss

- Registry name: `io.github.founders-loralabs/premiss` · version 0.2.1
- Categories (automatic, keyword rules): Research & knowledge, Search & data, Markets & trading, Finance & markets
- Authentication at last check: No auth
- Declared risk: Has destructive tools (destructiveHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.founders-loralabs%2Fpremiss
- Server page: https://mcpstation.net/s/io.github.founders-loralabs--premiss.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://app.premissai.com/api/mcp/claude`

## Tools (as reported by the server, not verified)

- `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. Search matches titles;
- `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 revision; saving does n
- `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 or start a bot. Identi
- `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 simulated capital, z
- `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 paper:read and do not start, s
- `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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html