io.github.mims-harvard/tooluniverse
2,700+ scientific tools for AI scientists: life science, research, literature, and more.
Servidor MCP · de mims-harvard
Resumen
io.github.mims-harvard/tooluniverse es un servidor MCP publicado por mims-harvard. Marketplaces que leemos y que lo publican: 1 (Official MCP Registry). El último cambio que registramos fue el 2026-10-12. Según nuestra pasada por los marketplaces del 2026-10-13.
Qué pide
- Se ejecuta en tu equipo
- Secretos: 16
- Ajustes: 17
Requiere: ANTHROPIC_API_KEY (secreta), AZURE_OPENAI_API_KEY (secreta), BIOGRID_API_KEY (secreta), BRENDA_PASSWORD (secreta), DISGENET_API_KEY (secreta), GEMINI_API_KEY (secreta), HF_TOKEN (secreta), NCBI_API_KEY (secreta), NVIDIA_API_KEY (secreta), OMIM_API_KEY (secreta), ONCOKB_API_TOKEN (secreta), OPENAI_API_KEY (secreta), OPENROUTER_API_KEY (secreta), SEMANTIC_SCHOLAR_API_KEY (secreta), UMLS_API_KEY (secreta), USPTO_API_KEY (secreta)
Lo que declara, pide y ejecuta, completo
Instale solo plugins de desarrolladores en los que confíe. Mostramos lo que publican los marketplaces y no probamos plugins.
Funciona con
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Según los marketplaces que lo listan y el transporte MCP que declara, tal como lo documenta cada cliente. No probamos plugins.
Conectar
Comandos y configuraciones generados solo a partir de lo que declaran sus marketplaces. No los ejecutamos por usted ni probamos plugins.
Como servidor MCP local: paquete PyPI
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --env "ANTHROPIC_API_KEY=<YOUR_ANTHROPIC_API_KEY>" --env "AZURE_OPENAI_API_KEY=<YOUR_AZURE_OPENAI_API_KEY>" --env "BIOGRID_API_KEY=<YOUR_BIOGRID_API_KEY>" --env "BRENDA_PASSWORD=<YOUR_BRENDA_PASSWORD>" --env "DISGENET_API_KEY=<YOUR_DISGENET_API_KEY>" --env "GEMINI_API_KEY=<YOUR_GEMINI_API_KEY>" --env "HF_TOKEN=<YOUR_HF_TOKEN>" --env "NCBI_API_KEY=<YOUR_NCBI_API_KEY>" --env "NVIDIA_API_KEY=<YOUR_NVIDIA_API_KEY>" --env "OMIM_API_KEY=<YOUR_OMIM_API_KEY>" --env "ONCOKB_API_TOKEN=<YOUR_ONCOKB_API_TOKEN>" --env "OPENAI_API_KEY=<YOUR_OPENAI_API_KEY>" --env "OPENROUTER_API_KEY=<YOUR_OPENROUTER_API_KEY>" --env "SEMANTIC_SCHOLAR_API_KEY=<YOUR_SEMANTIC_SCHOLAR_API_KEY>" --env "UMLS_API_KEY=<YOUR_UMLS_API_KEY>" --env "USPTO_API_KEY=<YOUR_USPTO_API_KEY>" --transport stdio tooluniverse -- uvx tooluniverse tooluniverse-smcp-stdio --compact-mode[mcp_servers.tooluniverse]
command = "uvx"
args = ["tooluniverse", "tooluniverse-smcp-stdio", "--compact-mode"]
[mcp_servers.tooluniverse.env]
ANTHROPIC_API_KEY = "<YOUR_ANTHROPIC_API_KEY>"
AZURE_OPENAI_API_KEY = "<YOUR_AZURE_OPENAI_API_KEY>"
BIOGRID_API_KEY = "<YOUR_BIOGRID_API_KEY>"
BRENDA_PASSWORD = "<YOUR_BRENDA_PASSWORD>"
DISGENET_API_KEY = "<YOUR_DISGENET_API_KEY>"
GEMINI_API_KEY = "<YOUR_GEMINI_API_KEY>"
HF_TOKEN = "<YOUR_HF_TOKEN>"
NCBI_API_KEY = "<YOUR_NCBI_API_KEY>"
NVIDIA_API_KEY = "<YOUR_NVIDIA_API_KEY>"
OMIM_API_KEY = "<YOUR_OMIM_API_KEY>"
ONCOKB_API_TOKEN = "<YOUR_ONCOKB_API_TOKEN>"
OPENAI_API_KEY = "<YOUR_OPENAI_API_KEY>"
OPENROUTER_API_KEY = "<YOUR_OPENROUTER_API_KEY>"
SEMANTIC_SCHOLAR_API_KEY = "<YOUR_SEMANTIC_SCHOLAR_API_KEY>"
UMLS_API_KEY = "<YOUR_UMLS_API_KEY>"
USPTO_API_KEY = "<YOUR_USPTO_API_KEY>"{
"mcpServers": {
"tooluniverse": {
"command": "uvx",
"args": [
"tooluniverse",
"tooluniverse-smcp-stdio",
"--compact-mode"
],
"env": {
"ANTHROPIC_API_KEY": "<YOUR_ANTHROPIC_API_KEY>",
"AZURE_OPENAI_API_KEY": "<YOUR_AZURE_OPENAI_API_KEY>",
"BIOGRID_API_KEY": "<YOUR_BIOGRID_API_KEY>",
"BRENDA_PASSWORD": "<YOUR_BRENDA_PASSWORD>",
"DISGENET_API_KEY": "<YOUR_DISGENET_API_KEY>",
"GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>",
"HF_TOKEN": "<YOUR_HF_TOKEN>",
"NCBI_API_KEY": "<YOUR_NCBI_API_KEY>",
"NVIDIA_API_KEY": "<YOUR_NVIDIA_API_KEY>",
"OMIM_API_KEY": "<YOUR_OMIM_API_KEY>",
"ONCOKB_API_TOKEN": "<YOUR_ONCOKB_API_TOKEN>",
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
"OPENROUTER_API_KEY": "<YOUR_OPENROUTER_API_KEY>",
"SEMANTIC_SCHOLAR_API_KEY": "<YOUR_SEMANTIC_SCHOLAR_API_KEY>",
"UMLS_API_KEY": "<YOUR_UMLS_API_KEY>",
"USPTO_API_KEY": "<YOUR_USPTO_API_KEY>"
}
}
}
}Sustituya los valores entre corchetes angulares por los suyos. Mostramos los nombres de los ajustes, nunca valores.
Argumentos opcionales que también declara: --categories.
Ajustes opcionales que también indica: BRENDA_EMAIL.
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 1.5.6 | Forks (GitHub): 261 Estrellas (GitHub): 1 730 |
Sin marca |
Cada cifra es del propio marketplace y nunca se suma entre marketplaces. Un marketplace que no publica cifras no muestra ninguna: sin número no es cero.
Qué cambió
Nada ha cambiado en este plugin desde que lo seguimos.
Plugins similares
Productos cuyos propios nombres, descripciones, herramientas y skills son los más cercanos a este por su significado, en todos los marketplaces que leemos. La cercanía se ordena solo dentro de esta lista.
-
mcp io.scispot/mcp
Turn any LLM into your lab assistant: search samples, track experiments, analyze data with AI.
-
AI-powered bioprotocol optimization — generate, search, and manage lab protocols via MCP
-
tomesphere com.tomesphere/tomesphere
Search 8.5M scientific papers with LLM TLDRs, citations, linked entities, figures, and full text.
-
abcommunity org.abcommunity/abcommunity
Find the right MCPs, tools and skills for any AI task - discovery over a 14k+ resource catalog.
-
AI research grounded in 300M scientific works — every citation a verifiable DOI.
-
Deep research assistant that checks its citations against the sources and keeps what it found.
-
clinical-trials-ai-mcp io.github.CSOAI-ORG/clinical-trials-ai-mcp
Clinical Trials Ai MCP Server by MEOK AI Labs
-
Run real bioinformatics from your AI agent. Reliable, reproducible, on your own GPUs.
-
scienceon-mcp io.github.rubatoyd/scienceon-mcp
KISTI ScienceON OpenAPI literature search & metadata collection (MCP server + CLI)
-
arch-tools-mcp io.github.Deesmo/arch-tools-mcp
63 production tools for AI agents — one API key, pay per call in USDC (x402) or Stripe credits.
Plugins similares por marketplace
La misma pregunta a cada marketplace por separado: ¿hay allí un equivalente de este plugin?
Publicado en Claude Code: claude-plugins-community (5)
-
197 ready-to-use life sciences skills that turn Claude into a domain expert for genomics, proteomics, drug discovery, biostatistics, scientific computing, and scientific writing…
-
nodebench io.github.HomenShum/nodebench
260 MCP tools across 49 domains. AI Flywheel, quality gates, research, web scraping.
-
Arquestra — Scientific Computing Orchestration
AI orchestration for computational chemistry and HPC workflows.
-
agent-discover io.github.keshrath/agent-discover
Find, install and enable MCP servers mid-session on any host, with consent and tool pinning
-
Search, browse, and install MCP servers, agents, skills, prompts, and plugins from the conduitAI catalog — directly from Claude Code.
Publicado en Claude Code: claude-plugins-official (5)
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
-
Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions…
Publicado en Claude: knowledge-work-plugins (5)
-
Connect to preclinical research tools and databases (literature search, genomics analysis, target prioritization) to accelerate early-stage life sciences R&D
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Evidence-backed BioPharma research workflows over Maven Bio's drug, trial, company, and deal knowledge graph. Skills for competitive pipelines, indication landscapes, asset…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
Publicado en Codex: openai-curated (openai/plugins) (5)
-
General life-sciences research workflows with query routing, evidence synthesis, and optional parallel subagent analysis across genetics, omics, biology, chemistry, structure…
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Predict structures, screen molecules and proteins, and design binders.
-
Guided NGS intake, local execution, and public-pipeline routing for BCL, FASTQ, DNA variant, RNA-seq, single-cell, epigenomics, amplicon, and metagenomics analyses, with deeper…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
Publicado en Community GitHub marketplaces (5)
-
cybersec-toolkit io.github.26zl/cybersec-toolkit
Authorization-gated MCP server to discover and run 670+ security tools for CTF, pentest, and DFIR.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
-
4da-mcp-server io.github.4DA-Systems/4da-mcp-server
Upgrade intelligence for AI agents: what an upgrade changes, where it touches your code, CVE scans.
-
Dynatrace observability skills: DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows, with the…
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Complete toolkit for building Model Context Protocol (MCP) servers in TypeScript/Node.js using the official SDK. Includes instructions for best practices, a prompt for generating…
-
Complete toolkit for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
Publicado en Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Publicado en Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
playwright-mcp io.github.microsoft/playwright-mcp
Playwright Tools for MCP
-
Track AI visibility, sentiment, and citations.
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
Publicado en Docker MCP Catalog (5)
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
A unified MCP proxy that aggregates multiple MCP servers into one interface, enabling seamless tool discovery and management across all your AI interactions. Manage all your MCP…
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
Publicado en Official MCP Registry (5)
-
mcp io.scispot/mcp
Turn any LLM into your lab assistant: search samples, track experiments, analyze data with AI.
-
AI-powered bioprotocol optimization — generate, search, and manage lab protocols via MCP
-
tomesphere com.tomesphere/tomesphere
Search 8.5M scientific papers with LLM TLDRs, citations, linked entities, figures, and full text.
-
abcommunity org.abcommunity/abcommunity
Find the right MCPs, tools and skills for any AI task - discovery over a 14k+ resource catalog.
-
AI research grounded in 300M scientific works — every citation a verifiable DOI.
Encontrados por significado, no por código ni repositorio compartidos: los plugins similares siguen siendo productos distintos, y esto no es una reseña ni una recomendación.
¿Es tu plugin?
Añádelo a tus proyectos y demuestra que lo mantienes con un archivo en su repositorio, un archivo en tu dominio o un registro DNS. Recibirás avisos cuando un marketplace lo publique, lo retire, cambie su marca verificada o lo que pide, y su endpoint remoto quedará monitorizado como un servicio web.
Datos de Official MCP Registry. Las cifras proceden de nuestros propios recorridos periódicos por los marketplaces, leída por última vez el . No publicamos datos de contacto de los editores de plugins.