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Update autodE/mcp_output/mcp_plugin/mcp_service.py
Browse files
autodE/mcp_output/mcp_plugin/mcp_service.py
CHANGED
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@@ -1,423 +1,148 @@
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import os
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import sys
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# Add the local source directory to sys.path
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source_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))), "source")
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if source_path not in sys.path:
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sys.path.insert(0, source_path)
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from fastmcp import FastMCP
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# Check if autodE is available
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try:
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import autode as ade
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from autode import Atom, Molecule, Reactant, Product, Reaction, Config
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from autode import Species
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AUTODE_AVAILABLE = True
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except ImportError:
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AUTODE_AVAILABLE = False
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# Create the FastMCP service application
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mcp = FastMCP("autode_service")
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# ============================================================================
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@mcp.tool()
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def create_molecule_from_smiles(smiles: str, name: str = "molecule") -> dict:
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"""
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Parameters:
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- name: Name for the molecule (default 'molecule')
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Returns:
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- dict:
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"""
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if not AUTODE_AVAILABLE:
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return {"success": False, "error": "autodE not installed. Requires: rdkit, numpy, networkx, and more"}
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try:
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"charge": mol.charge,
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"mult": mol.mult,
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"formula": str(mol.formula) if hasattr(mol, 'formula') else None
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}
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except Exception as e:
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return {"success": False, "error": str(e)}
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@mcp.tool()
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def get_atom_properties(element: str) -> dict:
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"""
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Get properties of an atom given its element symbol.
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Parameters:
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- element: Chemical symbol (e.g., 'H', 'C', 'O', 'N')
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Returns:
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- dict: Atom properties including mass and atomic number
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"""
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if not AUTODE_AVAILABLE:
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return {"success": False, "error": "autodE not installed"}
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try:
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atom = Atom(element)
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return {
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"success": True,
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"
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"
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"atomic_mass": atom.mass,
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"atomic_symbol": atom.label
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}
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except Exception as e:
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return {"success": False, "error": str(e)}
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# Reaction Setup Tools
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# ============================================================================
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@mcp.tool()
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def create_reaction_from_smiles(reactant_smiles: str, product_smiles: str,
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name: str = "reaction", solvent_name: str = None) -> dict:
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"""
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Parameters:
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- name: Name for the reaction (default 'reaction')
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- solvent_name: Solvent name if needed (optional)
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Returns:
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- dict: Reaction
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"""
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if not AUTODE_AVAILABLE:
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return {"success": False, "error": "autodE not installed"}
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try:
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return {
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"success": True,
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"
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"reaction_smiles": reaction_smiles,
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"n_reactants": len(rxn.reacs),
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"n_products": len(rxn.prods),
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"solvent": solvent_name
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}
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except Exception as e:
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return {"success": False, "error": str(e)}
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# ============================================================================
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# Configuration Tools
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# ============================================================================
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@mcp.tool()
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def get_config_info() -> dict:
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"""
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Get current autodE configuration settings.
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Returns:
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- dict: Configuration parameters
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"""
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if not AUTODE_AVAILABLE:
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return {"success": False, "error": "autodE not installed"}
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try:
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return {
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"success": True,
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"n_cores": Config.n_cores,
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"max_core": Config.max_core,
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"hcode": Config.hcode,
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"lcode": Config.lcode,
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"ts_guess_methods": Config.ts_guess_methods if hasattr(Config, 'ts_guess_methods') else None,
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"num_conformers": Config.num_conformers if hasattr(Config, 'num_conformers') else None
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}
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except Exception as e:
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return {"success": False, "error": str(e)}
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def set_n_cores(n_cores: int) -> dict:
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"""
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Parameters:
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Returns:
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- dict:
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"""
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if not AUTODE_AVAILABLE:
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return {"success": False, "error": "autodE not installed"}
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try:
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"success": True,
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"n_cores": Config.n_cores,
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"message": f"Set to use {n_cores} cores"
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}
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except Exception as e:
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return {"success": False, "error": str(e)}
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@mcp.tool()
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def list_available_methods() -> dict:
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"""
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List available computational chemistry methods/codes.
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Returns:
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- dict: Available high-level and low-level methods
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"""
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if not AUTODE_AVAILABLE:
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return {"success": False, "error": "autodE not installed"}
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try:
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# Common methods autodE supports
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available_methods = {
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"high_level": [
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"orca",
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"g09", "g16", # Gaussian
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"qchem",
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"nwchem",
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"psi4"
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],
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"low_level": [
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"xtb",
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"mopac",
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"orca"
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],
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"description": {
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"orca": "ORCA - general purpose quantum chemistry",
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"g09/g16": "Gaussian - widely used QM package",
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"xtb": "GFN-xTB - fast semi-empirical method",
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"mopac": "MOPAC - semi-empirical methods",
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"qchem": "Q-Chem",
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"psi4": "Psi4 - open-source QM",
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"nwchem": "NWChem"
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}
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}
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return {
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"success": True,
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"
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"current_hcode": Config.hcode,
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"current_lcode": Config.lcode
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}
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except Exception as e:
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return {"success": False, "error": str(e)}
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# Information and Utility Tools
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# ============================================================================
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@mcp.tool()
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def get_reaction_example() -> dict:
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"""
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Get an example of setting up and running a reaction calculation.
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Returns:
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- dict: Example code for Diels-Alder reaction
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"""
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if not AUTODE_AVAILABLE:
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return {"success": False, "error": "autodE not installed"}
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example_code = """
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import autode as ade
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# Configure
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ade.Config.n_cores = 4
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# Create reaction from SMILES (Diels-Alder)
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rxn = ade.Reaction('C=CC=C.C=C>>C1=CCCCC1', name='diels_alder')
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# Calculate reaction profile (requires QM software installed)
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# rxn.calculate_reaction_profile()
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# Access results
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# print(f"Reactants: {rxn.reacs}")
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# print(f"Products: {rxn.prods}")
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# print(f"Transition state: {rxn.ts}")
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"""
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return {
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"success": True,
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"description": "Diels-Alder cycloaddition example",
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"reaction": "Butadiene + Ethylene -> Cyclohexene",
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"code": example_code,
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"note": "Requires external QM software (ORCA, Gaussian, etc.) to be installed"
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}
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@mcp.tool()
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def get_sn2_example() -> dict:
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"""
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Returns:
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- dict: Example code for SN2 reaction
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"""
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if not AUTODE_AVAILABLE:
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return {"success": False, "error": "autodE not installed"}
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example_code = """
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import autode as ade
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# SN2 reaction: Cl- + CH3Br -> CH3Cl + Br-
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rxn = ade.Reaction('[Cl-].CBr>>[Br-].CCl', name='sn2')
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# Calculate reaction profile
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# rxn.calculate_reaction_profile()
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# Access energies
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# delta_e = rxn.delta('energy')
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# delta_h = rxn.delta('enthalpy')
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# delta_g = rxn.delta('free_energy')
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"""
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return {
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"success": True,
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"description": "SN2 nucleophilic substitution example",
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"reaction": "Cl- + CH3Br -> CH3Cl + Br-",
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"code": example_code
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}
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@mcp.tool()
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def get_molecule_from_xyz(xyz_string: str, name: str = "molecule",
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charge: int = 0, mult: int = 1) -> dict:
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"""
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Create a molecule from XYZ coordinate string.
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Parameters:
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- charge: Molecular charge (default 0)
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- mult: Spin multiplicity (default 1)
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Returns:
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- dict:
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"""
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if not AUTODE_AVAILABLE:
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return {"success": False, "error": "autodE not installed"}
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try:
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atoms = []
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for
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if len(parts) >= 4:
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element = parts[0]
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x, y, z = float(parts[1]), float(parts[2]), float(parts[3])
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atoms.append(Atom(element, x=x, y=y, z=z))
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return {
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"success": True,
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"
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"charge": mol.charge,
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"mult": mol.mult
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}
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except Exception as e:
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return {"success": False, "error": str(e)}
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def list_supported_solvents() -> dict:
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"""
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"""
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if not AUTODE_AVAILABLE:
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return {"success": False, "error": "autodE not installed"}
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solvents = [
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"water", "h2o",
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"methanol", "meoh",
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"ethanol", "etoh",
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"acetone",
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"acetonitrile", "mecn",
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"dmso",
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"dmf",
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"thf",
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"dichloromethane", "dcm",
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"chloroform", "chcl3",
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"benzene",
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"toluene",
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"hexane",
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"diethyl ether", "ether"
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]
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return {
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"success": True,
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"solvents": solvents,
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"note": "Solvent availability depends on the QM method used"
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}
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@mcp.tool()
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def get_autode_info() -> dict:
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"""
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Get autodE version and installation information.
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Returns:
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- dict:
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"""
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if not AUTODE_AVAILABLE:
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return {
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"success": False,
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"available": False,
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"message": "autodE not installed. Requires: pip install autode rdkit numpy networkx scipy matplotlib"
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}
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try:
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return {
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"success": True,
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"
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"version": ade.__version__,
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"description": "Automated reaction profile generation for organic and organometallic reactions",
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"capabilities": [
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"Automated transition state search",
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"Reaction profile calculation",
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"Conformer generation",
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"NEB calculations",
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"Multistep reactions"
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],
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"github": "https://github.com/duartegroup/autodE",
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"docs": "https://duartegroup.github.io/autodE/"
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}
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except Exception as e:
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return {"success": False, "error": str(e)}
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def create_app() -> FastMCP:
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"""
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Create and return the FastMCP application instance.
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Returns:
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- FastMCP: The FastMCP
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"""
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return mcp
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from fastmcp import FastMCP
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# Create the FastMCP service application
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mcp = FastMCP("autode_service")
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@mcp.tool(name="optimize_geometry", description="Optimize the geometry of a molecule")
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def optimize_geometry(molecule: dict) -> dict:
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"""
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Optimize the geometry of a molecule using autode.
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Parameters:
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- molecule: A dictionary representing the molecule.
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Returns:
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- dict: Optimized geometry and energy.
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"""
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try:
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from autode.species.molecule import Molecule
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from autode.opt.optimisers import BFGS
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|
| 21 |
+
mol = Molecule(**molecule)
|
| 22 |
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mol.optimise(method=BFGS())
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| 23 |
+
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| 24 |
return {
|
| 25 |
"success": True,
|
| 26 |
+
"optimized_geometry": mol.coordinates,
|
| 27 |
+
"energy": mol.energy
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| 28 |
}
|
| 29 |
except Exception as e:
|
| 30 |
return {"success": False, "error": str(e)}
|
| 31 |
|
| 32 |
+
@mcp.tool(name="calculate_reaction_energy", description="Calculate the reaction energy for a given reaction")
|
| 33 |
+
def calculate_reaction_energy(reactants: list, products: list) -> dict:
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| 34 |
"""
|
| 35 |
+
Calculate the reaction energy for a given reaction.
|
| 36 |
|
| 37 |
Parameters:
|
| 38 |
+
- reactants: A list of reactant molecules.
|
| 39 |
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- products: A list of product molecules.
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| 40 |
|
| 41 |
Returns:
|
| 42 |
+
- dict: Reaction energy.
|
| 43 |
"""
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| 44 |
try:
|
| 45 |
+
from autode.reactions.reaction import Reaction
|
| 46 |
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from autode.species.molecule import Molecule
|
| 47 |
+
|
| 48 |
+
reactant_mols = [Molecule(**r) for r in reactants]
|
| 49 |
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product_mols = [Molecule(**p) for p in products]
|
| 50 |
+
|
| 51 |
+
reaction = Reaction(*reactant_mols, *product_mols)
|
| 52 |
+
reaction.calculate_reaction_energy()
|
| 53 |
|
| 54 |
return {
|
| 55 |
"success": True,
|
| 56 |
+
"reaction_energy": reaction.reaction_energy
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| 57 |
}
|
| 58 |
except Exception as e:
|
| 59 |
return {"success": False, "error": str(e)}
|
| 60 |
|
| 61 |
+
@mcp.tool(name="generate_conformers", description="Generate conformers for a molecule")
|
| 62 |
+
def generate_conformers(molecule: dict) -> dict:
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|
| 63 |
"""
|
| 64 |
+
Generate conformers for a molecule.
|
| 65 |
|
| 66 |
Parameters:
|
| 67 |
+
- molecule: A dictionary representing the molecule.
|
| 68 |
|
| 69 |
Returns:
|
| 70 |
+
- dict: Generated conformers.
|
| 71 |
"""
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|
| 72 |
try:
|
| 73 |
+
from autode.conformers.conformers import Conformers
|
| 74 |
+
from autode.species.molecule import Molecule
|
| 75 |
|
| 76 |
+
mol = Molecule(**molecule)
|
| 77 |
+
conformers = Conformers.generate(mol)
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|
| 78 |
|
| 79 |
return {
|
| 80 |
"success": True,
|
| 81 |
+
"conformers": [conf.coordinates for conf in conformers]
|
|
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|
| 82 |
}
|
| 83 |
except Exception as e:
|
| 84 |
return {"success": False, "error": str(e)}
|
| 85 |
|
| 86 |
+
@mcp.tool(name="locate_transition_state", description="Locate the transition state for a reaction")
|
| 87 |
+
def locate_transition_state(reactants: list, products: list) -> dict:
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|
| 88 |
"""
|
| 89 |
+
Locate the transition state for a reaction.
|
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|
| 90 |
|
| 91 |
Parameters:
|
| 92 |
+
- reactants: A list of reactant molecules.
|
| 93 |
+
- products: A list of product molecules.
|
|
|
|
|
|
|
| 94 |
|
| 95 |
Returns:
|
| 96 |
+
- dict: Transition state geometry and energy.
|
| 97 |
"""
|
|
|
|
|
|
|
|
|
|
| 98 |
try:
|
| 99 |
+
from autode.transition_states.transition_state import TransitionState
|
| 100 |
+
from autode.species.molecule import Molecule
|
|
|
|
| 101 |
|
| 102 |
+
reactant_mols = [Molecule(**r) for r in reactants]
|
| 103 |
+
product_mols = [Molecule(**p) for p in products]
|
|
|
|
|
|
|
|
|
|
|
|
|
| 104 |
|
| 105 |
+
ts = TransitionState(reactants=reactant_mols, products=product_mols)
|
| 106 |
+
ts.locate()
|
| 107 |
|
| 108 |
return {
|
| 109 |
"success": True,
|
| 110 |
+
"ts_geometry": ts.coordinates,
|
| 111 |
+
"ts_energy": ts.energy
|
|
|
|
|
|
|
| 112 |
}
|
| 113 |
except Exception as e:
|
| 114 |
return {"success": False, "error": str(e)}
|
| 115 |
|
| 116 |
+
@mcp.tool(name="calculate_hessian", description="Calculate the Hessian matrix for a molecule")
|
| 117 |
+
def calculate_hessian(molecule: dict) -> dict:
|
|
|
|
| 118 |
"""
|
| 119 |
+
Calculate the Hessian matrix for a molecule.
|
| 120 |
|
| 121 |
+
Parameters:
|
| 122 |
+
- molecule: A dictionary representing the molecule.
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
| 123 |
|
| 124 |
Returns:
|
| 125 |
+
- dict: Hessian matrix.
|
| 126 |
"""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 127 |
try:
|
| 128 |
+
from autode.hessians.hessians import Hessian
|
| 129 |
+
from autode.species.molecule import Molecule
|
| 130 |
+
|
| 131 |
+
mol = Molecule(**molecule)
|
| 132 |
+
hessian = Hessian(mol)
|
| 133 |
+
|
| 134 |
return {
|
| 135 |
"success": True,
|
| 136 |
+
"hessian_matrix": hessian.matrix
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
| 137 |
}
|
| 138 |
except Exception as e:
|
| 139 |
return {"success": False, "error": str(e)}
|
| 140 |
|
|
|
|
| 141 |
def create_app() -> FastMCP:
|
| 142 |
"""
|
| 143 |
Create and return the FastMCP application instance.
|
| 144 |
|
| 145 |
Returns:
|
| 146 |
+
- FastMCP: The FastMCP application instance.
|
| 147 |
"""
|
| 148 |
return mcp
|