setup-tooluniverse

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0
Source

Install and configure ToolUniverse with MCP integration for any AI coding client (Cursor, Claude Desktop, Windsurf, VS Code, Codex, Gemini CLI, Trae, Cline, Antigravity, OpenCode, etc.). Covers uv/uvx setup, MCP configuration, API key walkthrough, skill installation, and upgrading. Use when setting up ToolUniverse, configuring MCP servers, troubleshooting installation issues, upgrading versions, or when user mentions installing ToolUniverse or setting up scientific tools.

Install

mkdir -p .claude/skills/setup-tooluniverse && curl -L -o skill.zip "https://mcp.directory/api/skills/download/3105" && unzip -o skill.zip -d .claude/skills/setup-tooluniverse && rm skill.zip

Installs to .claude/skills/setup-tooluniverse

About this skill

Setup ToolUniverse

Guide the user step-by-step through setting up ToolUniverse.

Agent Behavior

  • Detect language from user's first message. Respond in their language; keep commands/URLs in English.
  • Go one step at a time. Ask before proceeding.
  • Use AskQuestion for structured choices.
  • Explain briefly in plain language. Celebrate small wins.
  • When something goes wrong, help troubleshoot before moving on.

Internal Notes (do not show)

ToolUniverse has 1200+ tools. The tooluniverse command enables compact mode automatically, exposing only 5 core MCP tools (list_tools, grep_tools, get_tool_info, execute_tool, find_tools) while keeping all tools accessible via execute_tool.

What is ToolUniverse?

Always explain first, in plain language:

ToolUniverse is free, open-source software connecting to 2,000+ scientific databases (PubMed, UniProt, ChEMBL, FAERS, ClinicalTrials.gov, etc.). Instead of visiting each website, you search from one place. Think of it like a universal remote for scientific databases.

Why AI assistants? The AI reads your question, figures out which databases to search, runs queries, and summarizes results. You just ask your question.

Step 1: Choose How to Use It

Present using AskQuestion:

ModeWhat it meansWho it's for
Chat modeAsk questions to an AI assistant. No coding.Most researchers.
Command lineType short commands in Terminal.Quick tests. Terminal-comfortable users.
Python codeWrite scripts for automated pipelines.Programmers.

Options: "I want to ask questions" → Chat mode | "Quick try" → CLI | "I write Python" → SDK | "I don't know" → Recommend Chat mode

If Chat mode, ask which app (AskQuestion): Cursor, Claude Desktop, VS Code/Copilot, Windsurf, Claude Code, Gemini CLI, Codex, Cline/Trae/Antigravity/OpenCode. "I don't have any" → Recommend Claude Desktop.

Step 2: Install uv

Only prerequisite: uv (manages everything else automatically).

Terminal help (if needed): Mac: Cmd+Space → "Terminal" → Enter. Windows: Win key → "PowerShell" → Enter.

curl -LsSf https://astral.sh/uv/install.sh | sh

(This is a safe, standard command that downloads and installs uv, a small package manager. It's widely used by Python developers. Close and reopen your terminal after it finishes.)

Verify: uv --version

CLI Setup

Make sure Step 2 is done, then try:

uvx --from tooluniverse tu status              # How many tools?
uvx --from tooluniverse tu find 'drug safety'  # Search by topic
uvx --from tooluniverse tu info FAERS_count_death_related_by_drug  # See params
uvx --from tooluniverse tu run FAERS_count_death_related_by_drug '{"drug_name": "metformin"}'

First run takes ~30s (downloads package), then instant. Shortcut: uv tool install tooluniverse → then just use tu directly.

All CLI subcommands

CommandWhat it doesExample
tu statusShow tool count and top categoriestu status
tu listList tools (modes: names, categories, basic, by_category, summary, custom)tu list --mode basic --limit 20
tu findSearch by natural language (keyword scoring, no API key needed)tu find 'protein structure analysis'
tu grepText/regex pattern searchtu grep '^UniProt' --mode regex
tu infoShow tool parameters and schematu info PubMed_search_articles
tu runExecute a tooltu run PubMed_search_articles '{"query": "CRISPR"}'
tu testTest a tool with its example inputstu test UniProt_get_entry_by_accession
tu buildGenerate typed Python wrappers for Coding APItu build --output ./my_tools
tu serveStart MCP stdio server (same as uvx tooluniverse)tu serve

Output flags (most commands except build/serve): --json (pretty) or --raw (compact, pipe-friendly).

Continue to Step 3 (API Keys).

SDK Setup

Make sure Step 2 is done. For detailed patterns, invoke the tooluniverse-sdk skill.

uv pip install tooluniverse

Coding API — 3 calling patterns

Pattern 1: Direct import (typed, with autocomplete):

from tooluniverse.tools import UniProt_get_entry_by_accession
result = UniProt_get_entry_by_accession(accession="P12345")

Pattern 2: Attribute access (no import needed per tool):

from tooluniverse import ToolUniverse
tu = ToolUniverse()
tu.load_tools()
result = tu.tools.UniProt_get_entry_by_accession(accession="P12345")

Pattern 3: JSON-based (dynamic, for pipelines):

result = tu.run({"name": "UniProt_get_entry_by_accession", "arguments": {"accession": "P12345"}})

Generate typed wrappers: tu build (creates importable Python modules with autocomplete).

Agentic Tools & Code Executor

ToolUniverse also includes 23 AI-powered agentic tools (ScientificTextSummarizer, HypothesisGenerator, ExperimentalDesignScorer, peer-review tools, etc.) and 2 code executor tools (python_code_executor, python_script_runner). These are called like any other tool — via tu.run() or execute_tool(). Agentic tools require an LLM API key (e.g., OPENAI_API_KEY).

Continue to Step 3 (API Keys).

MCP Setup (Chat Mode)

Make sure Step 2 is done (uv --version works).

Add ToolUniverse to your app's config

Config file help (if user seems unfamiliar): Config files are plain text that store settings — like a preference list for the app. You don't need to understand the format; just paste exactly what's shown below. Most apps have a Settings button that opens the file for you (see table). If the file is empty, paste the entire block. If it already has content, the agent should help merge it.

Default config (same for most clients):

{
  "mcpServers": {
    "tooluniverse": {
      "command": "uvx",
      "args": ["tooluniverse"],
      "env": { "PYTHONIOENCODING": "utf-8" }
    }
  }
}

Config file locations:

ClientFileHow to Access
Cursor~/.cursor/mcp.jsonSettings → MCP → Add new global MCP server
Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonSettings → Developer → Edit Config
Claude Code~/.claude.json or .mcp.jsonclaude mcp add or edit directly
Windsurf~/.codeium/windsurf/mcp_config.jsonMCP hammer icon → Configure
Clinecline_mcp_settings.jsonCline panel → MCP Servers → Configure
Gemini CLI~/.gemini/settings.jsongemini mcp add or edit directly
Trae.trae/mcp.jsonCtrl+U → AI Management → MCP → Configure

Different formats: VS Code uses "servers" key with "type": "stdio". Codex uses TOML. OpenCode uses "mcp" key. See references/mcp-configs.md for these.

Continue to Step 3 (API Keys).

Step 3: API Keys

Many tools work without keys, but some unlock powerful features. Ask research interests first (AskQuestion):

  • Literature / Drug discovery / Protein structure / Genomics / Rare diseases / Enzymology / Patent search / AI analysis / All / Skip

Map to recommended keys (2-4 to start). Walk through one at a time: explain what it unlocks, give registration link, wait for key, add to config.

Tier 1 (Core — recommend for most users):

KeyUnlocksFree?Registration
NCBI_API_KEYPubMed (rate limit 3→10/s)Yeshttps://account.ncbi.nlm.nih.gov/settings/
NVIDIA_API_KEY16 tools: AlphaFold2, docking, genomicsYeshttps://build.nvidia.com
BIOGRID_API_KEYProtein interaction queriesYeshttps://webservice.thebiogrid.org/
FDA_API_KEYFDA adverse events, drug labels (rate 240→1000/min)Yeshttps://open.fda.gov/apis/authentication/

Tier 2 (Specialized — based on interests):

KeyUnlocksRegistration
DISGENET_API_KEYGene-disease associationshttps://disgenet.com/academic-apply
OMIM_API_KEYMendelian/rare diseasehttps://omim.org/api
ONCOKB_API_TOKENPrecision oncologyhttps://www.oncokb.org/apiAccess
UMLS_API_KEYMedical terminologyhttps://uts.nlm.nih.gov/uts/

See API_KEYS_REFERENCE.md for the complete list with all tiers.

Adding keys:

Chat mode — add to env block in MCP config:

"env": {
  "PYTHONIOENCODING": "utf-8",
  "NCBI_API_KEY": "your_key_here"
}

CLI — set environment variables:

export NCBI_API_KEY="your_key_here"       # Current session
echo 'export NCBI_API_KEY="key"' >> ~/.zshrc  # Persist across sessions

SDK — same as CLI (export or .env file).

Step 4: Test Together

Don't just tell — do it WITH the user.

Chat mode: Ask user to restart app. Then run a test call yourself:

  1. list_tools or grep_tools with "PubMed" — confirm tools visible
  2. execute_tool("PubMed_search_articles", {"query": "CRISPR", "max_results": 1}) — confirm it works
  3. Celebrate: "It works! You have access to 1200+ scientific tools."

CLI: Run together:

tu status && tu find 'protein' && tu run PubMed_search_articles '{"query": "CRISPR", "max_results": 1}'

SDK: Run the Python snippet from SDK Setup together.

If issues: Most common: app not restarted, uv not in PATH (reopen terminal), JSON syntax error in config.

Step 5: Install Skills (Recommended for Chat Mode)

Skills are pre-built research workflows that turn basic tool calls into expert investigations.

Chat mode users: The agent should run this for the user:

git clone --depth 1 https://github.com/mims-harvard/ToolUniverse.git /tmp/tu-skills

Then copy to client's skill directory:

ClientCommand
Cursormkdir -p .cursor/skills && cp -r /tmp/tu-skills/skills/* .cursor/skills/

Content truncated.

tooluniverse-protein-therapeutic-design

mims-harvard

Design novel protein therapeutics (binders, enzymes, scaffolds) using AI-guided de novo design. Uses RFdiffusion for backbone generation, ProteinMPNN for sequence design, ESMFold/AlphaFold2 for validation. Use when asked to design protein binders, therapeutic proteins, or engineer protein function.

10

drug-repurposing

mims-harvard

Identify drug repurposing candidates using ToolUniverse for target-based, compound-based, and disease-driven strategies. Searches existing drugs for new therapeutic indications by analyzing targets, bioactivity, safety profiles, and literature evidence. Use when exploring drug repurposing opportunities, finding new indications for approved drugs, or when users mention drug repositioning, off-label uses, or therapeutic alternatives.

160

devtu-optimize-skills

mims-harvard

Optimize ToolUniverse skills for better report quality, evidence handling, and user experience. Apply patterns like tool verification, foundation data layers, disambiguation-first, evidence grading, quantified completeness, and report-only output. Use when reviewing skills, improving existing skills, or creating new ToolUniverse research skills.

00

devtu-optimize-descriptions

mims-harvard

Optimize tool descriptions in ToolUniverse JSON configs for clarity and usability. Reviews descriptions for missing prerequisites, unexpanded abbreviations, unclear parameters, and missing usage guidance. Use when reviewing tool descriptions, improving API documentation, or when user asks to check if tools are easy to understand.

00

tooluniverse-literature-deep-research

mims-harvard

Conduct comprehensive literature research with target disambiguation, evidence grading, and structured theme extraction. Creates a detailed report with mandatory completeness checklist, biological model synthesis, and testable hypotheses. For biological targets, resolves official IDs (Ensembl/UniProt), synonyms, naming collisions, and gathers expression/pathway context before literature search. Default deliverable is a report file; for single factoid questions, uses a fast verification mode and may include an inline answer. Use when users need thorough literature reviews, target profiles, or to verify specific claims from the literature.

80

tooluniverse-precision-oncology

mims-harvard

Provide actionable treatment recommendations for cancer patients based on molecular profile. Interprets tumor mutations, identifies FDA-approved therapies, finds resistance mechanisms, matches clinical trials. Use when oncologist asks about treatment options for specific mutations (EGFR, KRAS, BRAF, etc.), therapy resistance, or clinical trial eligibility.

160

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