Insights

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

Chemical MCP Tools in ChatGPT, Drug Discovery, Biologics and Regulatory Workflows

The ChatGPT App Directory and OpenAI's MCP support turned ChatGPT into a viable pharma-R&D agent in 2026. This is the practical guide for attaching CovaSyn's 19 families of chemical tools to a ChatGPT workflow, via the App Directory, Custom GPTs, the OpenAI API, and the new Apps SDK. With the ICLR 2026 benchmark numbers and a worked tool call.

May 22, 2026

Agent Setup11 min read

Chemistry MCP for Cursor, DeepSeek and Qwen, Open-Weights AI for Drug Discovery

Not every pharma team can run on Claude or GPT, IT security, data residency, or budget force open-weight stacks. This guide shows how to attach CovaSyn's 19 families of chemical MCP tools to Cursor, DeepSeek, Qwen and any LiteLLM-routed open-weight model. With concrete configs, the cost math, and where open-weight breaks down for chemistry.

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

CovaSyn MCP

Run scientific tools right inside your AI agent.

Free tier: up to 100 analyses per week.

Try CovaSyn MCP →