Insights

Latest analyses and perspectives on AI in chemistry, pharma, and biotech.

RDKit over MCP: where the open-source toolkit stops, and where CovaSyn picks up

RDKit MCP servers give AI agents deterministic cheminformatics. Where the limit sits, no trained ML predictions, no hosting, no compliance, often too many generic tools, and what CovaSyn adds on top. With an honest recommendation for when a pure RDKit MCP server is enough.

May 22, 2026

Agent Setup11 min read

Improve Claude's Chemical AI Capabilities, Drug Discovery, Biologics, ICH M7 via MCP

Claude Haiku 4.5 reaches 21 percent on the ICLR 2026 chemistry benchmark. Attach the CovaSyn MCP server and it jumps to 85 percent. Same model, no fine-tuning, no prompt magic, just deterministic chemistry tools wired through the Model Context Protocol. This is the practical guide: how to wire it, what it unlocks for drug discovery and biologics, and the limits to know.

May 22, 2026

Position8 min read

Data quality isn't the real bottleneck. Why 55 percent of biotech AI pilots actually fail.

In the Benchling Biotech AI Report 2026, 55 percent of 100 surveyed AI leaders name "poor data quality" as the top reason their pilots fail. The industry conclusion, "we need better data management", addresses the symptom, not the cause. A counter-thesis, three real failure modes, and a concrete proposal.

May 21, 2026

AI Scientist10 min read

The AI Scientist meets MCP: what the three Nature papers from May 19, 2026 mean for deterministic chemistry tools

FutureHouse (Robin), Google DeepMind (Co-Scientist) and DeepMind (ERA) published simultaneously in Nature on May 19, 2026: AI systems now generate hypotheses, design experiments, and optimize scientific software end-to-end. What the papers don't quite say: without a deterministic, validated computation layer the loop bottlenecks on human review. That's where the Model Context Protocol fits in. A reading frame.

May 20, 2026

Benchmark9 min read

14 % → 92 %: How CovaSyn scores on the ICLR 2026 chemistry benchmark

Klambauer's lab (JKU Linz) built a molecular-reasoning benchmark for ICLR 2026 that tests real chemistry instead of using LLM judges. Four frontier LLMs score 14 to 41 percent on it. With CovaSyn MCP attached, the same models reach 76 to 92 percent, three of them above 85. Four models, 12,540 responses, the full numbers including the gaps.

May 18, 2026

Market Overview12 min read

The 5 Leading Chemistry MCP Servers for Pharma R&D Compared (2026)

Aichemy, ChemMCP, CovaSyn, DIY Python stack, and OpenChem MCP, five ways to connect AI agents with chemistry, tox, and stability tools. A neutral overview of tool coverage, compliance, hosting, and pricing.

May 16, 2026

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