io.github.founders-loralabs/premiss
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Publisher-provided title
Premiss
Publisher-provided description
Create Python strategies and backtest crypto, stocks and ETFs in Claude. Premiss account required.
Summary by lookupd
Lets an agent create, edit and backtest Python trading strategies across crypto, stocks and ETFs, and read run reports and notes.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http premiss https://app.premissai.com/api/mcp/claude
Codex, remote (streamable-http)
codex mcp add premiss --url https://app.premissai.com/api/mcp/claude
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"premiss": {
"url": "https://app.premissai.com/api/mcp/claude"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (13 tools)
Publisher-provided text
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;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 wget_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 ansearch_marketsSearch the markets Premiss covers by name, ticker or alias (bitcoin, BTCUSDT, SPY, gold, oil): crypto, indices, commodities and US stocks. Returns registry idsdescribe_marketReturn one market's bar sizes and stored history, the bar sizes this account can backtest, paper-bot bar sizes, trading modes, price sources and data notes. Pasget_strategy_guideRead Premiss's Python package format, the event strategy API (on_bar, on_schedule, on_fill and the other handlers), spot and perpetual modes, execution timing acreate_strategySave a new private strategy using custom Python files and complete rules text, on any Premiss-supported market and timeframe. Accepts either files (strategy.pyupdate_strategyReplace the complete Python package and rules of an existing strategy using its exact current saved revision. Each successful save returns a new revision; passstart_backtestQueue a backtest of any saved strategy in the connected workspace; the run records a spot buy-and-hold of its traded market beside it. Accepts custom code and eget_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 sizeget_run_reportRead the status and bounded performance report for one run in the connected workspace. Returns the tested market, interval, revision (the tested code), strategysave_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 publ
Details
- Version: 0.2.1
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 712 ms
- First indexed:
- Last seen in registry:
- Website: https://app.premissai.com/integrations
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