Connect-MCP

Premiss

io.github.founders-loralabs/premiss · v0.2.1

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

MCPremoteno credentialsResearch & educationKnowledge & docsFiles & storage

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Last check

Reachable, 13 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 92/100

What it does: 13 tools · 9 read, 4 write (incl. delete/pay) · Research & education, Developer tools, Knowledge & docs

Test call get_capabilities: worked (1,019 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +2
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

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

Tools

13 tools listed at last check
  • 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.

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