STK-MCP

STK-MCP is an MCP (Model Context Protocol) server designed to enable Large Language Models (LLMs) or other MCP clients to interact with Ansys/AGI STK (Systems Tool Kit) - the leading Digital Mission Engineering software.

This project allows controlling STK via an MCP server, supporting both STK Desktop (Windows only) and STK Engine (Windows & Linux). It utilizes FastMCP from the official MCP Python SDK.

Overview

The primary goal of this project is to bridge the gap between programmatic interaction and the powerful simulation capabilities of STK. By exposing STK functionalities through a robust CLI and an MCP server, users can command STK simulations using simple commands or LLM-driven applications.

The MCP application, defined in src/stk_mcp/app.py, exposes STK operations as MCP tools, which are dynamically managed by a CLI entry point in src/stk_mcp/cli.py.

Features

• CLI entry point powered by Typer.
• Dual mode operation: STK Engine (Windows/Linux) and STK Desktop (Windows).
• OS-aware: Desktop mode auto-disabled on non-Windows platforms.
• Managed lifecycle: STK instance is started/stopped with the MCP server.
• Tool discovery: list-tools command enumerates available MCP tools.
• Modular architecture: CLI (cli.py), MCP (app.py), STK logic (stk_logic/), and MCP tools (tools/).

Prerequisites

• Operating System: Windows or Linux. STK Desktop mode requires Windows.
• Python: Version 3.12 or higher.
• Ansys/AGI STK: Version 12.x Desktop or Engine installed.
• STK Python API: The agi.stk12 Python wheel corresponding to your STK installation must be available. Typically found under CodeSamples\Automation\Python in your STK install.

Installation

1. Clone the repository

   git clone <repository-url>
   cd stk-mcp
   

2. Create and activate a virtual environment

   # Create the virtual environment
   uv venv
   
   # Activate it
   # On Windows (in PowerShell/CMD):
   # .venv\Scripts\activate
   # On Linux (in bash/zsh):
   source .venv/bin/activate
   

3. Add dependencies with uv (preferred)
   • Add the STK Python wheel from your STK installation (local file):

   uv add ./agi.stk12-12.10.0-py3-none-any.whl
   # or: uv add path/to/your/STK/CodeSamples/Automation/Python/agi.stk12-*.whl
   

4. Sync the environment (installs deps from pyproject.toml)

   uv sync
   

Usage

This project is a command-line application. Ensure your virtual environment is activated before running commands.

Listing Available Tools

uv run -m stk_mcp.cli list-tools

Prints a table of tool names and their descriptions.

Running the MCP Server

Use the run command to start the MCP server. The server will automatically start and manage an STK instance.

Run with uv run so you don’t need to install the package into site-packages.

1) STK Engine (recommended for automation, Windows/Linux):

uv run -m stk_mcp.cli run --mode engine

2) STK Desktop (Windows only, shows GUI): Ensure STK Desktop is closed; the server will launch and manage its own instance.

uv run -m stk_mcp.cli run --mode desktop

The server will start, initialize STK, and listen for MCP connections on http://127.0.0.1:8765 by default.

3. Command Options: You can see all options with the --help flag:

stk-mcp run --help

Interacting with the Server

Once the server is running, you can connect to it using any MCP client, such as the MCP Inspector.

1. Open the MCP Inspector URL provided in the console (e.g., http://127.0.0.1:8765).
2. Find the "STK Control" server in the list.
3. Use the "Tools" section to execute setup_scenario, create_location, and create_satellite.

Stopping the Server

Press Ctrl+C in the terminal where the server is running. The lifecycle manager will automatically close the STK Engine or Desktop instance.

MCP Tools and Resources

The server exposes the following MCP tools/resources.

Resources:

Examples:

• Read all objects: resource://stk/objects
• Read only satellites: resource://stk/objects/satellite
• Read ground locations: resource://stk/objects/location (alias for facilities and places)

Access and LLA examples:

• Compute access: resource://stk/analysis/access/Satellite/ISS/Facility/Boulder
• Get ISS LLA (60 s): resource://stk/reports/lla/Satellite/ISS (optional step_sec argument)

Configuration & Logging

Configuration is centralized in src/stk_mcp/stk_logic/config.py using pydantic-settings. Defaults can be overridden with environment variables (prefix STK_MCP_).

• STK_MCP_DEFAULT_HOST (default 127.0.0.1)
• STK_MCP_DEFAULT_PORT (default 8765)
• STK_MCP_LOG_LEVEL (default INFO)
• STK_MCP_DEFAULT_SCENARIO_NAME (default MCP_STK_Scenario)
• STK_MCP_DEFAULT_START_TIME (default 20 Jan 2020 17:00:00.000)
• STK_MCP_DEFAULT_DURATION_HOURS (default 48.0)

Logging is standardized via src/stk_mcp/stk_logic/logging_config.py. The CLI uses this configuration, producing structured logs with timestamps, levels, and context.

Implementation Notes

• STK access is serialized with a global lock to avoid concurrency issues.
• Common STK-availability checks are handled via decorators in src/stk_mcp/stk_logic/decorators.py (@require_stk_tool and @require_stk_resource).
• STK Connect commands that may be transiently flaky are executed with retry logic (tenacity) in src/stk_mcp/stk_logic/utils.py (safe_stk_command).
• Long-running internal operations are timed with @timed_operation for diagnostics.

Dependencies

Managed with uv:

• agi.stk12 (local wheel from your STK install)
• mcp[cli]>=1.6.0
• uvicorn>=0.30 (explicit for CLI server)
• rich>=13.7 (CLI table output)
• typer>=0.15.2
• pydantic>=2.11.7

Notes:

• On macOS (Darwin), STK Engine/Desktop are not supported. The server will start but STK-dependent tools/resources are unavailable.
• The server serializes STK access via a global lock to avoid concurrency issues with multi-threaded access to the STK Engine/Desktop instance.

Contributing

Contributions are welcome! Please see the CONTRIBUTING.md file for guidelines.