skillfed

tooluniverse

A comprehensive collection of scientific tools for Agentic AI, offering integration with the ToolUniverse SDK and MCP Server to support advanced scientific workflows.

tooluniverse v1.4.1 105.3K downloads/30d#12,708 on PyPI1,629
License unclear Active released

What it is and what it does

ToolUniverse is an SDK and MCP server that acts as a bridge between large language models and a curated ecosystem of scientific tools, datasets, and APIs. It standardizes how AI agents discover and invoke tools through the AI-Tool Interaction Protocol, enabling LLMs to perform complex scientific workflows—from data analysis and literature search to molecular simulations and drug discovery—without needing to know the details of each underlying tool.

The package ships with 35 runtime dependencies including requests, numpy, sympy, fastapi, openai, google-genai, huggingface_hub, and specialized libraries like epam.indigo for cheminformatics and faiss-cpu for vector search. It supports both synchronous and asynchronous tool execution, tool composition for chaining operations, and a two-tier caching layer (in-memory LRU plus SQLite) for reproducibility and offline support. Installation includes a CLI (tu) for interactive tool discovery and testing, optional extras for ML, visualization, and bioinformatics, and pre-built agent skills for specific research domains.

Use it for:

  • Build AI agents that autonomously design drug candidates by composing molecular docking, ADME prediction, and literature search tools
  • Enable LLM-powered analysis of multi-omics data by integrating statistical, machine learning, and visualization tools in a single workflow
  • Create chatbots that search PubMed, ArXiv, and BioRxiv simultaneously and synthesize findings into structured reports
  • Develop diagnostic systems that combine rare disease databases, genetic tools, and clinical decision-support APIs through a unified interface
  • Run long-running simulations (protein folding, molecular dynamics) asynchronously while tracking progress and managing parallel execution

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

ToolUniverse provides a standardized interface for AI agents and LLMs to discover, compose, and execute over 1000 scientific tools, datasets, APIs, and ML models through a unified protocol.

Yes, with conditions. ToolUniverse is actively maintained, has low install friction, and addresses a real need for standardized LLM-tool integration in scientific workflows. However, the license treatment is unclear—verify the actual license before use in commercial projects. The 35 runtime dependencies are substantial; evaluate whether your environment can accommodate them. Best suited for researchers and AI engineers building agent systems; less relevant for general-purpose Python development.

Install

tooluniverse on PyPI

pip

pip install tooluniverse

uv

uv add tooluniverse

poetry

poetry add tooluniverse

Installing tooluniverse

Before you install

Low install friction with a pure-Python wheel distribution. Active maintenance with a release 2 days old and steady commits. Requires Python 3.10+. The documentation recommends using uv rather than system pip due to environment management constraints.

License in practice

License treatment is unclear—no SPDX identifier or raw license text is available in the metadata. Verify the actual license terms before adopting in commercial or proprietary projects.

Quickstart

# Install with uv (recommended)
uv pip install tooluniverse

# Python SDK usage
from tooluniverse import ToolUniverse
tu = ToolUniverse()
tools = tu.discover(query="protein")
result = tu.execute(tool_name, params)

Requires Python 3.10 or later. System pip may fail on some macOS installations due to PEP 668; uv is recommended for installation.

Verify before relying

  • Exact count and breakdown of the 1000+ tools, models, and datasets claimed to be integrated
  • Performance characteristics of the two-tier caching system (claimed 10x speedup) under typical workloads
  • Compatibility matrix and tested versions for each supported LLM (Claude, GPT, Gemini, Qwen, Deepseek, open models)
  • Licensing terms and any restrictions on commercial use of bundled scientific tools and APIs

Package facts

License not declared (unclear)
Python support supports the current Python release (>=3.10)
Install friction low — pure-Python wheel
Runtime dependencies 35 — requests, numpy, sympy, graphql-core, fastapi, uvicorn, pydantic, epam.indigo, networkx, openai, pyyaml, google-genai, mcp, fastmcp, xmltodict, lxml, huggingface_hub, jsonpath-ng, rcsb-api, scipy, pandas, openpyxl, setuptools, pdfplumber, playwright, faiss-cpu, flask, aiohttp, beautifulsoup4, python-dotenv
Maintenance actively maintained — 2 days since the last release
Last repo commit
First released
Downloads 105,296/month — #12,708 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: tooluniverse-1.4.1-py3-none-any.whl

Tags

ai agent tool integration frameworkllm scientific tool ecosystemmcp server for ai scientiststool composition for ai workflowsscientific api aggregation platform
ai-agent-frameworkscientific-computingmcp-server

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