
Premiss
io.github.founders-loralabsv0.2.1Updated Oct 3, 2026
Create Python strategies and backtest crypto, stocks and ETFs in Claude. Premiss account required.
Overview
AI-generated overview
Lets an assistant create Python trading strategies and backtest them on crypto, stocks and ETFs through a Premiss account.
- What it does
- Premiss connects an assistant to a remote service for building Python trading strategies and running backtests across crypto, stocks and ETFs. The registry description states it is used from Claude, and the manifest lists no individual tools, so the exact operations are not documented here. It is a hosted endpoint rather than a local package.
- When to use it
- Worth considering when you want an assistant to help write Python strategy code and evaluate it against historical market data for crypto, equities or ETFs. It is aimed at users who already work with Premiss rather than at general-purpose coding tasks.
- Requirements
- A Premiss account is required. The server is a remote streamable HTTP endpoint at app.premissai.com; no local runtime, packages, environment variables or headers are declared. Network access to that endpoint is needed.
Before you install
The manifest declares no authentication method, environment variables or headers, so how credentials are supplied is not shown here. Backtesting involves market data and strategy code sent to a third-party service; review what data leaves your machine and confirm the account and access terms before connecting.
Installation
In SourceWeft
- Open Premiss in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"premiss": {
"type": "http",
"url": "https://app.premissai.com/api/mcp/claude"
}
}
}Tools
0Tool metadata has not been indexed yet.
Version history
1- v0.2.1LatestOct 3, 2026

