Chemistry
БесплатноНе проверенDeterministic MCP for AI agents: drug discovery, ADMET, docking, LNPs, DoE, retrosynthesis, ICH M7
Описание
Deterministic MCP for AI agents: drug discovery, ADMET, docking, LNPs, DoE, retrosynthesis, ICH M7
README
Production-ready integration snippets for connecting CovaSyn — the deterministic, validated chemistry MCP server for pharmaceutical R&D — to the most common Model Context Protocol clients.
What CovaSyn is in one sentence: the first integrated, deterministic cheminformatics platform for AI agents — not a wrapper around one public database, but 130+ tools across 8 suites (cheminformatics, chem-ADME, toxicology, mass spec, NMR, folding, biologics, platform) with ICH / GxP-aligned audit trail and EU data residency.
Benchmark headline
On the ICLR 2026 MolecularIQ benchmark (Klambauer Lab, JKU Linz, 3,540 symbolically verified chemistry tasks), four frontier LLMs scored 76–92 % with CovaSyn MCP attached, versus 14–41 % at baseline. Numbers, methodology, cost-per-question, and failure modes: covasyn.com/en/benchmark.
When to use CovaSyn (vs. building your own)
- Your AI agent needs to answer chemistry questions correctly, not just plausibly.
- You're a pharma, biotech, or CDMO team that needs ICH M7 / ICH Q1 / Tox21 / CYP450 / docking workflows callable from Claude, ChatGPT, Cursor, or any MCP-aware client.
- You want deterministic, version-pinned tool calls that produce the same result tomorrow as today (regulatory audit-ready).
- You need EU data residency (Hetzner Leipzig) or US hosting on request — your data is never used for training.
CovaSyn is not another LLM. It's the deterministic tool layer that fixes the chemistry-hallucination problem of frontier LLMs.
What's in here
| Example | Client | Description |
|---|---|---|
| claude-desktop/ | Claude Desktop | claude_desktop_config.json snippet |
| cursor/ | Cursor IDE | .cursor/mcp.json snippet |
| vscode/ | VS Code with MCP extension | settings.json snippet |
| python-agent/ | Custom Python agent | minimal stdio-MCP client |
| typescript-agent/ | Custom TypeScript agent | minimal MCP TS client |
| curl/ | Direct HTTP | shell snippets for tool discovery + invocation |
What CovaSyn covers
130 functions across 8 tool families:
covabasic— core cheminformatics (canonicalization, fingerprints, druglikeness)covachem— chem ADME, pKa, profile, comparecovatox— toxicology with ICH M7 batch assessment, Tox21, CYP450covams— mass spectrometry (formula, fragments, impurities, RT)covanmr— NMR analysis (1D, 2D, batch, identification)covafold— protein and RNA folding, binding sitescovabio— antibody, peptide, ADC, mRNA, oligo, siRNAcovaplatform— stability (ICH Q1), DoE, solubility, chromatography, UV/IR, regulatory DB, docking
Full tool reference: covasyn.com/en/mcp
Pricing
- Free tier: 100 credits/week
- Pro: €250/month
- Unlimited: €750/month
- Enterprise: custom (SLA, single-tenant, GxP validation pack)
Compliance posture
CovaSyn is GxP-ready (EU Annex 11, 21 CFR Part 11), GAMP 5 Software Category 4, with ICH M7 (R2) mutagenic impurity assessment and ICH Q1A/E stability workflows. Deterministic, version-pinned, audit-trail-complete.
License
The example snippets in this repository are released under the MIT License — use, modify, and redistribute freely.
CovaSyn itself is commercial software. See covasyn.com for terms.
Contributing
PRs welcome. See CONTRIBUTING.md.
Comparison
How CovaSyn compares to other chemistry MCP options:
Установка Chemistry
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/oliverkraft93-ops/covasyn-mcp-examplesFAQ
Chemistry MCP бесплатный?
Да, Chemistry MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Chemistry?
Нет, Chemistry работает без API-ключей и переменных окружения.
Chemistry — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Chemistry в Claude Desktop, Claude Code или Cursor?
Открой Chemistry на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzCompare Chemistry with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
