Polymer-Agent
LLM aided multi tool kit for initial polymer discovery
Install / Use
claude mcp add BaratiLab -- npx -y github:BaratiLab/Polymer-AgentIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Tags
Skill content
View source on GitHubPolymer-Agent: LLM Agent for Polymer Discovery
An MCP server for polymer inverse design and property optimization.
Features
- Single-property optimization
- Multi-property constrained optimization
- Latent-space decoding
- Chemistry-aware constraints
Installation
This MCP server depends on two local polymer libraries and must be installed in editable mode.
1. Clone required repositories
git clone https://github.com/Vani-Nigam07/Polymer-Agent1
git clone https://github.com/Vani-Nigam07/Polymer-Agent2
pip install -e ./transpolymer-polyagent
pip install -e ./open_macromolecule-polyagent
2. Clone PolyAgent
git clone https://github.com/BARATI-LAB/polyagent.git
3. Create uv environment: https://docs.astral.sh/uv/getting-started/installation/
uv sync
4. Update the paths according your folders
gemini
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