STK-MCP

STK-MCP

An MCP server that enables Large Language Models or other MCP clients to interact with Ansys/AGI STK (Systems Tool Kit), allowing users to control STK Desktop simulations programmatically or via natural language.

Category
Visit Server

README

STK-MCP

Python Version MCP Version

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 Desktop via MCP tools, leveraging the STK Python API. It utilizes FastMCP from the official MCP Python SDK. The server logic resides within the src/stk_mcp package.

Overview

The primary goal of this project is to bridge the gap between programmatic or natural language interaction (via LLMs) and the powerful simulation capabilities of STK. By exposing STK functionalities through an MCP server, users can command STK simulations using MCP clients or potentially LLM-driven applications.

The MCP server, defined in src/stk_mcp/server.py, manages STK interaction and exposes functionality, showcasing how to:

  • Connect to a running STK Desktop instance or launch a new one via the server's lifecycle management (src/stk_mcp/stk_logic/core.py).
  • Expose STK operations as MCP tools (defined in src/stk_mcp/tools/).
  • Create and configure STK scenarios using the setup_scenario tool.
  • Programmatically add and configure Satellite objects using the create_satellite tool.
  • Define satellite orbits using common orbital parameters.
  • Utilize the TwoBody propagator for orbit simulation within the tools.

Features (MCP Server)

  • MCP Server Implementation: Uses FastMCP within src/stk_mcp/server.py.
  • Modular Structure: Code organized into server setup (server.py), STK interaction logic (stk_logic/), and MCP tools (tools/).
  • STK Desktop Integration: Automatically connects to or starts STK 12 (requires Windows) when the server starts, managed via MCP lifespan.
  • Scenario Management Tool (setup_scenario): Creates new scenarios, sets analysis time periods, and closes any pre-existing scenario.
  • Satellite Creation Tool (create_satellite): Adds Satellite objects to the currently active scenario.
  • Orbit Definition: Configures satellite orbits using Apogee/Perigee Altitude, RAAN, and Inclination.
  • TwoBody Propagation: Sets up and runs the TwoBody propagator for created satellites.

Prerequisites

  • Operating System: Windows (due to STK Desktop and win32com dependency).
  • Python: Version 3.12 or higher.
  • Ansys/AGI STK: Version 12.x Desktop installed.
  • STK Python API: The agi.stk12 Python wheel corresponding to your STK installation must be installed. This typically involves:
    • Locating the wheel file (e.g., agi.stk12-py3-none-any.whl) within your STK installation directory (often under CodeSamples\Automation\Python).
    • Installing it using pip: pip install path/to/agi.stk12-py3-none-any.whl
  • Project Dependencies: Requires the mcp library (installed via pip install .).

Installation

  1. Clone the repository:
    git clone <repository-url>
    cd stk-mcp
    
  2. Ensure Prerequisites are met: Install Python, STK Desktop, and the STK Python API wheel as described above.
  3. Install project dependencies:
    # Install dependencies defined in pyproject.toml (includes mcp[cli])
    pip install .
    

Usage (MCP Server)

The MCP server logic is now structured within the src/stk_mcp directory. You interact with it using an MCP client or development tools.

  1. Ensure STK Desktop is closed (the server will launch its own instance via the lifespan manager).
  2. Run the MCP server in development mode:
    • Option A (Using the helper script):
      python scripts/run_dev.py
      
    • Option B (Directly using mcp command from the project root):
      mcp dev src/stk_mcp/server.py
      
    • The server will start, attempt to launch/connect to STK, and print logs.
    • STK Desktop should become visible.
    • The server listens for MCP connections.
  3. Interact with the Server (Example using MCP Inspector):
    • Open the MCP Inspector URL provided in the console (e.g., http://127.0.0.1:8765).
    • Find the "STK Control" server.
    • Use the "Tools" section to execute setup_scenario and create_satellite as before.
  4. Stop the Server: Press Ctrl+C in the terminal where the server is running. The lifespan manager will attempt to close STK.

MCP Tools Available

  • setup_scenario: (Defined in src/stk_mcp/tools/scenario.py)
    • Description: Creates/Configures an STK Scenario. Closes any existing scenario first.
    • Arguments: scenario_name (str, default: "MCP_STK_Scenario"), start_time (str, default: "20 Jan 2020 17:00:00.000"), duration_hours (float, default: 48.0).
  • create_satellite: (Defined in src/stk_mcp/tools/satellite.py)
    • Description: Creates or modifies an STK satellite. Assumes a scenario is active.
    • Arguments: name (str), apogee_alt_km (float), perigee_alt_km (float), raan_deg (float), inclination_deg (float).

Future Development (MCP Server & Expanded Automation)

Planned enhancements include:

  • Adding Ground Locations: MCP tool to add a Facility or Place object.
  • Resource Endpoints: Add MCP resources (e.g., get_scenario_details, list_objects) to query STK state.
  • Enhanced Satellite/Object Definition: More comprehensive configuration options.
  • Access Analysis Tool: Compute and report access between objects.
  • Error Handling: More robust error reporting back to the MCP client.

Dependencies

  • agi.stk12: For interacting with STK Desktop (Requires manual installation from STK).
  • mcp[cli]>=1.6.0: Model Context Protocol library.
  • pywin32: Automatically installed on Windows; used for COM interactions via win32com.client.

Limitations

  • Windows Only: Relies heavily on STK Desktop automation via COM.
  • STK Desktop Required: Does not currently support STK Engine.
  • Basic Functionality: Currently limited to scenario setup and basic satellite creation.
  • Single Scenario Focus: Assumes interaction with a single active scenario managed by the setup_scenario tool.

Contributing

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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured