# schrodinger-mcp

> Use this tool when you need to accelerate computational chemistry and drug discovery tasks, such as protein preparation, docking, and ADMET predictions. It solves problems related to molecular modeling, simulation, and optimization by executing Schrödinger Suites 2026 workflows. This tool takes molecular structures and job parameters as input and outputs simulation results, making it ideal for use cases in pharmaceutical research and development.

Canonical page: https://skillsregistry.net/skills/nimieeee-schrodinger-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nimieeee-schrodinger-mcp

## Description

Enables AI assistants to execute computational chemistry and drug discovery workflows using Schrödinger Suites 2026, including protein preparation, docking, ADMET, QM/MM calculations, and job management.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kbm0wt4zia)
- **Repository:** <https://github.com/Nimieeee/schrodinger-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nimieeee-schrodinger-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nimieeee-schrodinger-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nimieeee-schrodinger-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt