tooluniverse
io.github.mims-harvard/tooluniverse
About tooluniverse
tooluniverse is an MCP server published by the GitHub account mims-harvard. 2,700+ scientific tools for AI scientists: life science, research, literature, and more.
It runs on your own machine: your AI client starts it from the PyPI package tooluniverse at version 1.5.7.
It asks for 16 secrets: OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, OPENROUTER_API_KEY, AZURE_OPENAI_API_KEY, HF_TOKEN, NCBI_API_KEY, SEMANTIC_SCHOLAR_API_KEY, BIOGRID_API_KEY, DISGENET_API_KEY, OMIM_API_KEY, ONCOKB_API_TOKEN, NVIDIA_API_KEY, USPTO_API_KEY, UMLS_API_KEY and BRENDA_PASSWORD. Give it a key with the least access that still works.
Version 1.5.7 was published on 13 October 2026, and the source code is public, so you can read it before installing.
Written from the registry entry. 9 automated checks on the registry entry and the package code: 7 pass, 1 warn, 0 fail, 1 info. How we check.
What it asks for
| Variable | Required | Secret | Description |
|---|---|---|---|
OPENAI_API_KEY | No | Yes | OpenAI API key for LLM-based tool finding and embedding features |
ANTHROPIC_API_KEY | No | Yes | Anthropic API key for Claude-based features |
GEMINI_API_KEY | No | Yes | Google Gemini API key for Gemini-based features |
OPENROUTER_API_KEY | No | Yes | OpenRouter API key for accessing 100+ LLM models |
AZURE_OPENAI_API_KEY | No | Yes | Azure OpenAI API key (alternative to OpenAI) |
HF_TOKEN | No | Yes | HuggingFace token for accessing models and datasets |
NCBI_API_KEY | No | Yes | NCBI/PubMed API key for higher rate limits (10 req/sec vs 3 req/sec). Register at https://www.ncbi.nlm.nih.gov/account/ |
SEMANTIC_SCHOLAR_API_KEY | No | Yes | Semantic Scholar API key for higher rate limits (100 req/sec vs 1 req/sec). Register at https://www.semanticscholar.org/product/api |
BIOGRID_API_KEY | No | Yes | BioGRID API key for protein-protein interaction queries. Register free at https://webservice.thebiogrid.org/ |
DISGENET_API_KEY | No | Yes | DisGeNET API key for gene-disease association data. Register free at https://www.disgenet.org/ |
OMIM_API_KEY | No | Yes | OMIM API key for Mendelian disease data. Register at https://omim.org/api |
ONCOKB_API_TOKEN | No | Yes | OncoKB API token for precision oncology annotations. Register at https://www.oncokb.org/apiAccess |
NVIDIA_API_KEY | No | Yes | NVIDIA NIM API key for AlphaFold2 structure prediction, molecular docking, and genomics tools. Get key at https://build.nvidia.com |
USPTO_API_KEY | No | Yes | USPTO API key for patent data access. Register at https://developer.uspto.gov/ |
UMLS_API_KEY | No | Yes | UMLS API key for medical terminology and concept mapping. Register at https://uts.nlm.nih.gov/uts/ |
BRENDA_EMAIL | No | No | BRENDA enzyme database login email. Register at https://www.brenda-enzymes.org/ |
BRENDA_PASSWORD | No | Yes | BRENDA enzyme database login password |
Checks
| Check | Result | Detail |
|---|---|---|
| Source repository linked | Pass | https://github.com/mims-harvard/ToolUniverse |
| Version pinned | Pass | Every package has an explicit version |
| Secrets requested | Warn | Asks for 16 secrets: OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, OPENROUTER_API_KEY, AZURE_OPENAI_API_KEY, HF_TOKEN, NCBI_API_KEY, SEMANTIC_SCHOLAR_API_KEY, BIOGRID_API_KEY, DISGENET_API_KEY, OMIM_API_KEY, ONCOKB_API_TOKEN, NVIDIA_API_KEY, USPTO_API_KEY, UMLS_API_KEY, BRENDA_PASSWORD |
| Known package registry | Pass | All packages come from npm, PyPI, OCI, NuGet or MCPB |
| Namespace ownership | Info | Name verified via GitHub account mims-harvard |
| Registry text aimed at the AI | Pass | Description and settings contain no hidden characters or instructions to the AI |
| Install scripts | Pass | tooluniverse 1.5.7 has no setup.py; nothing runs at install |
| Code red flags | Pass | Read 1414 files in tooluniverse 1.5.7: no obfuscation, encoded execution, credential reads or data-collection endpoints found |
| Text aimed at the AI | Pass | No hidden characters or instructions to the AI in 1414 files, including comments and the README |
Popularity & health: 85 / 100
Worked out from public numbers and our own checks, not from user reviews or ratings. It says how used and how looked-after a server is, not whether it is safe.
269 forks, 524 merged pull requests. Sources: GitHub, npm, PyPI (pypistats.org) and Hacker News (Algolia), fetched 2026-10-31.
What people say
No Hacker News threads link to its source code.
Look further: search Reddit, search Hacker News, read its GitHub issues. These are not reviews we checked.
Facts
| Registry name | io.github.mims-harvard/tooluniverse |
|---|---|
| Publisher | GitHub account mims-harvard |
| How the name is verified | Name verified via GitHub account mims-harvard. The registry ties the name prefix to that account or domain; it does not check the code. |
| Type | Local: runs on your machine from a package |
| Packages | pypi tooluniverse 1.5.7 (stdio) |
| Version | 1.5.7 |
| Published | |
| Last updated | |
| Source repository | https://github.com/mims-harvard/ToolUniverse |
| Website | https://aiscientist.tools |
| Category | Health & science (assigned by keyword rule, not by hand) |
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