# ToolUniverse

> Use this tool when you need to integrate large language models with various tools and datasets to accelerate scientific research and discovery. ToolUniverse solves problems in literature search, molecular visualization, and workflow composition, providing a unified interface for AI models to interact with machine learning models, APIs, and scientific packages. It is ideal for use cases like drug discovery and disease diagnosis, where standardized AI-Tool interaction is crucial.

Canonical page: https://skillsregistry.net/skills/tooluniverse  
JSON: https://api.skillsregistry.net/v1/skills/tooluniverse

## Description

ToolUniverse is an ecosystem for building AI scientist systems from any large language model. It standardizes how AI models identify and use tools through an AI-Tool Interaction Protocol, integrating machine learning models, datasets, APIs, and scientific packages into a unified interface. Capabilities include literature search across academic databases, interactive molecular and protein visualization, scientific workflow composition, and pre-built research skills for domains like drug discovery and disease diagnosis.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tooluniverse)
- **Repository:** <https://github.com/mims-harvard/tooluniverse>

## 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": "tooluniverse"
    }
  }
}
```

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