Aerospace MCP

Instructions

Implementation Reference

• aerospace_mcp/tools/optimization.py:131-157 (handler)

  Handler function that implements the MCP tool logic for particle_swarm_optimization. It delegates to an external trajopt implementation (which appears to be missing) or returns an error message with JSON formatting.

  def particle_swarm_optimization(
      optimization_problem: dict, pso_parameters: dict | None = None
  ) -> str:
      """Optimize spacecraft trajectory using particle swarm optimization.
  
      Args:
          optimization_problem: Problem definition (objective, constraints, variables)
          pso_parameters: Optional PSO parameters (n_particles, iterations, etc.)
  
      Returns:
          JSON string with optimization results
      """
      try:
          from ..integrations.trajopt import particle_swarm_optimization as _pso_optimize
  
          result = _pso_optimize(optimization_problem, pso_parameters or {})
  
          return json.dumps(result, indent=2)
  
      except ImportError:
          return (
              "Particle swarm optimization not available - install optimization packages"
          )
      except Exception as e:
          logger.error(f"PSO optimization error: {str(e)}", exc_info=True)
          return f"PSO optimization error: {str(e)}"

• aerospace_mcp/fastmcp_server.py:127-127 (registration)

  Registers the particle_swarm_optimization function as an MCP tool in the FastMCP server.

  mcp.tool(particle_swarm_optimization)

• aerospace_mcp/fastmcp_server.py:48-55 (registration)

  Imports the particle_swarm_optimization tool from the optimization module for registration.

  from .tools.optimization import (
      genetic_algorithm_optimization,
      monte_carlo_uncertainty_analysis,
      optimize_thrust_profile,
      particle_swarm_optimization,
      porkchop_plot_analysis,
      trajectory_sensitivity_analysis,
  )