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Chemistry

oliverkraft93-ops/covasyn-mcp-examples
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Summary

Connects AI agents to 130+ deterministic chemistry functions across cheminformatics, toxicology, ADMET, mass spec, NMR, protein folding, and biologics workflows. Scored 76–92% on the ICLR 2026 MolecularIQ benchmark versus 14–41% baseline for frontier LLMs. Includes ICH M7 mutagenic impurity assessment, ICH Q1 stability workflows, Tox21, CYP450 profiling, and docking. Built for pharma and biotech teams that need version-pinned, audit-ready results with EU data residency. Works over streamable HTTP with Claude Desktop, Cursor, VS Code, or custom Python/TypeScript agents. Free tier starts at 100 credits per week, paid plans from €250/month.

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CovaSyn MCP Examples

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

ExampleClientDescription
claude-desktop/Claude Desktopclaude_desktop_config.json snippet
cursor/Cursor IDE.cursor/mcp.json snippet
vscode/VS Code with MCP extensionsettings.json snippet
python-agent/Custom Python agentminimal stdio-MCP client
typescript-agent/Custom TypeScript agentminimal MCP TS client
curl/Direct HTTPshell 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, compare
  • covatox — toxicology with ICH M7 batch assessment, Tox21, CYP450
  • covams — mass spectrometry (formula, fragments, impurities, RT)
  • covanmr — NMR analysis (1D, 2D, batch, identification)
  • covafold — protein and RNA folding, binding sites
  • covabio — antibody, peptide, ADC, mRNA, oligo, siRNA
  • covaplatform — 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)

See pricing →

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.

See compliance details →

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:

  • vs Aichemy (Databricks)
  • vs ChemMCP
  • vs DIY Python
  • vs OpenChem MCP
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TransportHTTP
UpdatedJun 2, 2026
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