Alchemite MCP
Design experiments and make predictions for materials & chemicals properties in your local agent
MCP server · by intellegens.com
About
Alchemite MCP is an MCP server published by intellegens.com. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-14.
What it asks for
- Runs on your machine
None of the marketplaces we read publishes its tools or the settings it asks for.
Requires: --credentials
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Package
PyPI alchemite-mcp (alchemite-mcp on PyPI)
- PyPI downloads/week: 113 (2026-10-13)
- PyPI downloads/month: 607 (2026-10-13)
- Latest version on PyPI: 0.7.5, published 2026-09-18
No known vulnerabilities in OSV for 0.7.5 (checked 2026-10-14)
PyPI facts come from pypi.org, PyPI downloads from pypistats.org. Each figure is the registry's own and is never added to another. A registry that publishes no figure shows none: no number is not zero. Vulnerability records come from OSV.dev (CC BY 4.0) and concern the declared version only; a listing that declares no version gets no answer. We do not scan code.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
A one-click link opens the client, which asks you to confirm before it adds the server.
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: PyPI package
Built from what Official MCP Registry declares.
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>"
]
}
}
}Replace the values in angle brackets with your own. We show the names of the settings, never values.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 0.7.5 | Downloads/month (PyPI): 607 Downloads/week (PyPI): 113 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
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.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on 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
Has a listing on 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.
Has a listing on 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.
Has a listing on 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…
Has a listing on 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.
Has a listing on 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…
Has a listing on 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.
Has a listing on 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.
Has a listing on 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.
Has a listing on 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.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Add it to your projects and prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.