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Provides a collection of MCP servers for computational chemistry tasks including molecular generation and retrosynthesis. Also offers property prediction and mo
Provides a collection of MCP servers for computational chemistry tasks including molecular generation and retrosynthesis. Also offers property prediction and molecule pricing capabilities.
To install the package, clone the repository and run:
pip install -e .
flask-tools-install --extras all
Or install directly from GitHub:
pip install git+https://github.com/FLASK-LLNL/FLASK-tools.git
flask-tools-install --git-tag main --extras all
Here is a collection of commonly used MCP servers in the FLASK-copilot framework.
1.) Installing the ChARGe package with the [chemprop] or [all] options to use the Chemprop MPNN models.
2.) Set Chemprop model checkpoint path as environment variable
export CHEMPROP_BASE_PATH=<LC_PATH_TO_CHEMPROP_MODELS>
from charge.servers.molecular_property_utils import calculate_property_hf
property='density'
calculate_property_hf('COC(=O)COC=O','density')
Expected Result:
[[1.3979296684265137]]
The property input variable in calculate_property_hf must be set to one of the below properties.
valid_properties = {'density', 'hof', 'alpha','cv','gap','homo','lumo','mu','r2','zpve','lipo'}
After installing the ChARGe package, run the additional commands to use the Chemprice tools (getting the commercial price of a SMILES string).
1.) Install chemprice with pip.
pip3 install --no-deps chemprice
2.) Set API key for Chemspace as an environment variable
export CHEMSPACE_API_KEY=<ENTER_YOUR_CHEMSPACE_API_KEY>
from charge.servers.molecular_property_utils import get_molecule_price
smiles='CCO'
get_molecule_price(smiles)
Expected Result:
0.1056
Copyright (c) 2025-2026, Lawrence Livermore National Security, LLC. and Binghamton University.
Produced at the Lawrence Livermore National Laboratory and Binghamton University.
SPDX-License-Identifier: Apache-2.0
LLNL-CODE-2006345
Выполни в терминале:
claude mcp add flask-tools -- npx Не уверен что выбрать?
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