Odel
MCP server: One MCP server.

Stochastly Desktop

@stochastlyMCP server · External

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

Investment portfoliosv0.2.0MITPython
Freeno charge per call
How to install

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

PyPIstochastly-mcpv0.2.0

Run

uvx stochastly-mcp

MCP client config

{
  "mcpServers": {
    "stochastly-desktop": {
      "command": "uvx",
      "args": [
        "stochastly-mcp"
      ]
    }
  }
}
README2 min read

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 To try the unpublished source, install this directory with pip install ..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 returns a structured answer with ok: false, the edition needed and a link to pricing. 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

Similar modules

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