Stochastly Desktop
Local MCP access to Stochastly desktop nodes, diagnostics and research tools.
التثبيت
أضف هذا إلى إعدادات MCP في عميلك (Claude Desktop: claude_desktop_config.json، وCursor: .cursor/mcp.json، ويستخدم VS Code وغيره الصيغة نفسها «mcpServers»).
stochastly-mcpclaude mcp add stochastly-desktop -e 'STOCHASTLY_MCP_SCRIPT=<STOCHASTLY_MCP_SCRIPT>' -- uvx stochastly-mcp==0.2.2
{
"mcpServers": {
"stochastly-desktop": {
"command": "uvx",
"args": [
"stochastly-mcp==0.2.2"
],
"env": {
"STOCHASTLY_MCP_SCRIPT": "<STOCHASTLY_MCP_SCRIPT>"
}
}
}
}
متغيرات البيئة
STOCHASTLY_MCP_SCRIPTOptional path to the MCP client script supplied by the installed Stochastly app.
التوثيق
مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.
Stochastly MCP
This small public launcher connects an MCP client to the server shipped with the Stochastly desktop app. The app must be installed, running, and licensed for Atelier or Portfolio. The package contains no Stochastly engine code.
Install with pip install stochastly-mcp or run with uvx stochastly-mcp. To run this source instead of the PyPI release, install this directory with pip install ..
Configure a local stdio server with command stochastly-mcp and no arguments:
- Claude Desktop: add
"stochastly": {"command": "stochastly-mcp"}undermcpServersinclaude_desktop_config.json. - Cursor: add the same entry under
mcpServersin.cursor/mcp.json. - VS Code: add
"stochastly": {"type": "stdio", "command": "stochastly-mcp"}underserversin.vscode/mcp.json.
The server exposes 29 tools, among them node_catalog, compose_graph, backtest_graph, red_flag_check, adversarial_check, portfolio_combine and export_paper. The installed app runs them and checks the licence on every call: portfolio_combine needs Portfolio, every other tool Atelier or Portfolio.
Without the app, the launcher lists the same 29 tools (names, descriptions, input schemas and annotations from stochastly_mcp_data/tools_manifest.json, generated from the app's server), so a client can see what the server offers. Each description then starts with a note that the desktop app is required, and every call to a listed tool returns a structured answer with ok: false, the edition needed and a link to request access. A name the server does not list returns the error Unknown tool, as the app's server does. The manifest is metadata only.
For a nonstandard installation, set STOCHASTLY_MCP_SCRIPT to the installed app's stochastly_mcp.py. This is a local path, not a network endpoint.
Links
- MCP server overview: what the server does and which clients it supports.
- MCP server reference: the 29 tools, their inputs and which ones write.
- Documentation: the Stochastly desktop app, from data import to research papers.
- Comparison with other backtesting tools: how Stochastly differs from other backtesting software.
- Request access: early access to the desktop app.
الأسئلة الشائعة
ما هو Stochastly Desktop؟
Local MCP access to Stochastly desktop nodes, diagnostics and research tools.
كيف أثبّت Stochastly Desktop؟
يعمل على جهازك. في Claude Code: claude mcp add stochastly-desktop -e 'STOCHASTLY_MCP_SCRIPT=<STOCHASTLY_MCP_SCRIPT>' -- uvx stochastly-mcp==0.2.2. وفي العملاء الآخرين، الصق إعداد JSON من هذه الصفحة في إعدادات MCP الخاصة بهم.
هل يحتاج Stochastly Desktop إلى مفتاح API؟
لا يذكر إدراجه في السجل أي مفتاح أو سر إلزامي. قد تتطلب بعض الميزات حسابًا لدى الخدمة التي يتصل بها.
هل Stochastly Desktop مفتوح المصدر؟
نعم. شيفرته متاحة على GitHub بترخيص MIT.
من يصون Stochastly Desktop؟
ينشره Stochastly. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.
من سجل MCP الرسمي. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.