Alchemite MCP
Design experiments and make predictions for materials & chemicals properties in your local agent
Servidor MCP · de intellegens.com
Resumen
Alchemite MCP es un servidor MCP publicado por intellegens.com. Marketplaces que leemos y que lo publican: 1 (Official MCP Registry). Lo vimos por primera vez el 2026-10-11 y desde entonces no hemos registrado cambios. Según nuestra pasada por los marketplaces del 2026-10-16.
Qué pide
- Se ejecuta en tu equipo
Ninguno de los marketplaces que leemos publica sus herramientas ni los ajustes que pide.
Requiere: --credentials
Lo que declara, pide y ejecuta, completo
Instala solo plugins de desarrolladores en los que confíes. Mostramos lo que publican los marketplaces y no probamos plugins.
Paquete
PyPI alchemite-mcp (alchemite-mcp en PyPI)
- Descargas de PyPI por semana: 113 (2026-10-13)
- Descargas de PyPI por mes: 607 (2026-10-13)
- Última versión en PyPI: 0.7.5, publicada el 2026-09-18
Sin vulnerabilidades conocidas en OSV para 0.7.5 (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 ti ni probamos plugins.
Como servidor MCP local: paquete PyPI
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --transport stdio alchemite-mcp -- uvx alchemite-mcp --credentials "<YOUR_CREDENTIALS>"
[mcp_servers.alchemite-mcp]
command = "uvx"
args = ["alchemite-mcp", "--credentials", "<YOUR_CREDENTIALS>"]
{
"mcpServers": {
"alchemite-mcp": {
"command": "uvx",
"args": [
"alchemite-mcp",
"--credentials",
"<YOUR_CREDENTIALS>"
]
}
}
}
Sustituya los valores entre corchetes angulares por los suyos. Mostramos los nombres de los ajustes, nunca valores.
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 0.7.5 | Descargas por mes (PyPI): 607 Descargas por semana (PyPI): 113 |
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.
-
Materials simulations for AI agents over MCP: binding token quote before every run, record after it.
-
chemistry com.covasyn/chemistry
Deterministic MCP for AI agents: drug discovery, ADMET, docking, LNPs, DoE, retrosynthesis, ICH M7
-
materialmodel io.github.MaterialModel/materialmodel
Explore discoveries, ask questions, share findings, and build collaborations with other agents.
-
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.
-
labmate-mcp io.github.JonasRackl/labmate-mcp
81 chemistry tools — literature, calculations, retrosynthesis
-
Arquestra — Scientific Computing Orchestration
AI orchestration for computational chemistry and HPC workflows.
-
Deterministic MiniMindsLab utilities for AI agents over MCP.
-
Build agents, MCP servers and tool-using workflows.
-
anotherai dev.anotherai/anotherai
MCP server for building and testing AI agents with multi-model experimentation and insights.
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)
-
Arquestra — Scientific Computing Orchestration
AI orchestration for computational chemistry and HPC workflows.
-
Predict structures, screen molecules and proteins, and design binders with Boltz from Claude Code.
-
msds-chain io.github.littleblakew/msds-chain
Chemical safety intelligence — 24 tools: compatibility, hazards, PPE, compliance, SDS lookup
-
agent-discover io.github.keshrath/agent-discover
Find, install and enable MCP servers mid-session on any host, with consent and tool pinning
-
deepmiro io.github.kakarot-dev/deepmiro
Simulate hundreds of AI agents to predict how communities react to events and policies
Publicado en Claude Code: claude-plugins-official (5)
-
Predict structures, screen molecules and proteins, and design binders with Boltz from Claude Code.
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
Publicado en Claude: knowledge-work-plugins (5)
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
MCP server for terminal commands, file operations, and process management
-
Connect to preclinical research tools and databases (literature search, genomics analysis, target prioritization) to accelerate early-stage life sciences R&D
-
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…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
General life-sciences research workflows with query routing, evidence synthesis, and optional parallel subagent analysis across genetics, omics, biology, chemistry, structure…
Publicado en Community GitHub marketplaces (5)
-
Build agents, MCP servers and tool-using workflows.
-
Predict structures, screen molecules and proteins, and design binders with Boltz from Claude Code.
-
Hosted MCP server and Agent Skills for specs, engineering threads, and project memory.
-
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
-
Git-native content governance for AI agents — 27 deterministic MCP tools over stdio and HTTP.
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Skills and interactive Copilot canvas for designing, configuring, testing and deploying agents to Microsoft Foundry.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Complete toolkit for building Model Context Protocol (MCP) servers in Kotlin using the official io.modelcontextprotocol:kotlin-sdk library. Includes instructions for best…
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…
-
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.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Let Grok Bot reach MCP servers on your private Tailscale network. Sign in to Tailscale to connect your tailnet; Grok Bot joins it as one tagged device and only reaches the hosts…
-
Build apps, scripts, and automations with the TypeScript SDK.
-
CLI-backed repo compatibility scans plus agents that audit startup, validation, and docs against reality.
Publicado en Docker MCP Catalog (5)
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
A universal MCP (Model Context Protocol) server to integrate any API with Claude Desktop using only Docker configurations.
Publicado en Official MCP Registry (5)
-
Materials simulations for AI agents over MCP: binding token quote before every run, record after it.
-
chemistry com.covasyn/chemistry
Deterministic MCP for AI agents: drug discovery, ADMET, docking, LNPs, DoE, retrosynthesis, ICH M7
-
materialmodel io.github.MaterialModel/materialmodel
Explore discoveries, ask questions, share findings, and build collaborations with other agents.
-
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.
¿Quieres esta marca para tu plugin en nuestro catálogo?
Demuestra que lo mantienes con un archivo en su repositorio, un archivo en tu dominio o un registro DNS, y podrás mostrar esta marca en la ficha, con banners en vivo para tu web y tu README. Cómo funciona la verificación
Además 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.