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Stochastly Desktop

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Local MCP access to Stochastly desktop nodes, diagnostics and research tools.

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package stochastly-mcp
Claude Code 
claude mcp add stochastly-desktop -e 'STOCHASTLY_MCP_SCRIPT=<STOCHASTLY_MCP_SCRIPT>' -- uvx stochastly-mcp==0.2.2
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "stochastly-desktop": {
            "command": "uvx",
            "args": [
                "stochastly-mcp==0.2.2"
            ],
            "env": {
                "STOCHASTLY_MCP_SCRIPT": "<STOCHASTLY_MCP_SCRIPT>"
            }
        }
    }
}

Environment variables

  • STOCHASTLY_MCP_SCRIPT Optional path to the MCP client script supplied by the installed Stochastly app.

Documentation

From the project's README on GitHub, refreshed weekly. Links open on 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"} under mcpServers in claude_desktop_config.json.
  • Cursor: add the same entry under mcpServers in .cursor/mcp.json.
  • VS Code: add "stochastly": {"type": "stdio", "command": "stochastly-mcp"} under servers in .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.

Frequently asked questions

What is Stochastly Desktop?

Local MCP access to Stochastly desktop nodes, diagnostics and research tools.

How do I install Stochastly Desktop?

It runs on your machine. In Claude Code: claude mcp add stochastly-desktop -e 'STOCHASTLY_MCP_SCRIPT=<STOCHASTLY_MCP_SCRIPT>' -- uvx stochastly-mcp==0.2.2. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Stochastly Desktop need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Stochastly Desktop open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Stochastly Desktop?

It is published by Stochastly. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.