# T5Chem MCP Server

> Use this tool when you need to predict chemical reactions, validate molecules, or calculate molecular properties, and integrate these capabilities with AI assistants through the Model Context Protocol. It solves problems in cheminformatics, drug discovery, and materials science by providing accurate predictions and validations. The T5Chem MCP Server takes molecular structures as input and outputs predicted reactions, validated molecules, and calculated properties.

Canonical page: https://skillsregistry.net/skills/bugatti742-t5chem  
JSON: https://api.skillsregistry.net/v1/skills/bugatti742-t5chem

## Description

Enables chemical reaction predictions (retrosynthesis, product, reagents), molecule validation, and property calculation through the Model Context Protocol, integrating with AI assistants.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d6bvamh9pc)
- **Repository:** <https://github.com/bugatti742/t5chem>

## 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": "bugatti742-t5chem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bugatti742-t5chem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bugatti742-t5chem/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