Axiomize
Versioned scientific models with units and SBML, CellML, Modelica export.
Servidor MCP · de Furox-Art
Resumen
Axiomize es un servidor MCP publicado por Furox-Art. Marketplaces que leemos y que lo publican: 1 (Official MCP Registry). El último cambio que registramos fue el 2026-10-13. Según nuestra pasada por los marketplaces del 2026-10-14.
Qué pide
- Se ejecuta en tu equipo
Ninguno de los marketplaces que leemos publica sus herramientas ni los ajustes que pide.
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.
Paquete
PyPI axiomize (axiomize en PyPI)
- Descargas de PyPI por semana: 354 (2026-10-13)
- Descargas de PyPI por mes: 756 (2026-10-13)
- Última versión en PyPI: 1.14.0, publicada el 2026-10-13
Sin vulnerabilidades conocidas en OSV para 1.12.4 (comprobado el 2026-10-14)
Los datos de PyPI proceden de pypi.org y las descargas de PyPI de pypistats.org. Cada cifra es del propio registro y nunca se suma a otra. Un registro que no publica una cifra no muestra ninguna: sin cifra no es cero. Los registros de vulnerabilidades proceden de OSV.dev (CC BY 4.0) y solo se refieren a la versión declarada; un listado sin versión declarada no recibe respuesta. No analizamos código.
Funciona con
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Un enlace de un clic abre el cliente, que pide confirmación antes de añadir el servidor.
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 --transport stdio axiomize -- uvx mcp axiomize
[mcp_servers.axiomize]
command = "uvx"
args = ["mcp", "axiomize"]
{
"mcpServers": {
"axiomize": {
"command": "uvx",
"args": [
"mcp",
"axiomize"
]
}
}
}
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 1.12.4 | Descargas por mes (PyPI): 756 Descargas por semana (PyPI): 354 Forks (GitHub): 0 Estrellas (GitHub): 8 |
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.
-
Create, run, and analyze NetLogo agent-based models through natural conversation
-
Construct, inspect, visualize, and simulate evidence-backed ODE models with BioMASS
-
Build, run, inspect, and verify finite-element simulations with AgentFEM.
-
AI-powered bioprotocol optimization — generate, search, and manage lab protocols via MCP
-
mcp io.scispot/mcp
Turn any LLM into your lab assistant: search samples, track experiments, analyze data with AI.
-
Design experiments and make predictions for materials & chemicals properties in your local agent
-
Manage SysML2 projects and files directly through your coding agent.
-
Structured financial modeling for AI agents: build, version, audit models, export to Excel.
-
Connect AI coding agents to MATLAB. Run code, tests, and analysis via MCP.
-
crayon-c4-mcp io.github.SQUORA-NL/crayon-c4-mcp
Author, validate and maintain a CRAYON-C4 architecture model — never write an invalid file.
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…
-
Arquestra — Scientific Computing Orchestration
AI orchestration for computational chemistry and HPC workflows.
-
Principles and rules for writing faithful scientific code. Scientific code serves truth, not users. This plugin teaches Claude the fundamental differences between scientific and…
-
agent-discover io.github.keshrath/agent-discover
Find, install and enable MCP servers mid-session on any host, with consent and tool pinning
-
Any-to-any AI sub-agent — generate images, videos, PDFs, presentations, research reports, music, spreadsheets, 3D models, memes, diagrams, prototypes, game assets, and stickers…
Publicado en Claude Code: claude-plugins-official (5)
-
Predict structures, screen molecules and proteins, and design binders with Boltz from Claude Code.
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
-
Skills for creating MCP Apps with the MCP Apps SDK
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…
-
MCP server for terminal commands, file operations, and process management
-
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)
-
Predict structures, screen molecules and proteins, and design binders.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
General life-sciences research workflows with query routing, evidence synthesis, and optional parallel subagent analysis across genetics, omics, biology, chemistry, structure…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
Publicado en Community GitHub marketplaces (5)
-
tooluniverse io.github.mims-harvard/tooluniverse
2,700+ scientific tools for AI scientists: life science, research, literature, and more.
-
Source curation and typed Python graph construction with Biotope and BioCypher.
-
Stateful SageMath MCP server with 40 tools and a sandboxed Sage session per client.
-
Literature, Zotero, PDF, citation, materials, and scientific image tools for research agents.
-
Persistent knowledge workspace for AI agents. Versioned files, search, and MCP tools.
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
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…
-
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 Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
-
Create, edit, run, save, and checkpoint Jupyter notebooks in an interactive Copilot canvas.
Publicado en Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
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…
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
code-apps-preview
Build and deploy Power Apps code apps using React, Vite, and Power Platform connectors.
Publicado en Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Skills for building on the Cursor Origin API. Fetch the live spec first, then follow the Origin rules for credentials, scopes, webhooks, paging, and errors. Includes a skill that…
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
-
CLI-backed repo compatibility scans plus agents that audit startup, validation, and docs against reality.
Publicado en Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
mcp-neo4j-data-modeling io.github.neo4j-contrib/mcp-neo4j-data-modeling
A simple Neo4j MCP server for creating graph data models.
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
-
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)
-
Create, run, and analyze NetLogo agent-based models through natural conversation
-
Construct, inspect, visualize, and simulate evidence-backed ODE models with BioMASS
-
Build, run, inspect, and verify finite-element simulations with AgentFEM.
-
AI-powered bioprotocol optimization — generate, search, and manage lab protocols via MCP
-
mcp io.scispot/mcp
Turn any LLM into your lab assistant: search samples, track experiments, analyze data with AI.
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.