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by tony-zhelonkin • Uncategorized
A modular infrastructure for building AI-powered scientific research agents using the Model Context Protocol (MCP).
Perform drug discovery by searching molecular databases, checking FDA approvals, and reviewing clinical trials.
Conduct genomics research by querying protein databases, analyzing interactions, and identifying pathways.
Perform literature review by searching PubMed/PMC, accessing full-text articles, and extracting research findings.
SciAgent Toolkit enables integration of AI assistants like Claude Code, Gemini CLI, and Codex CLI with specialized scientific tools for drug discovery, genomics, literature research, and more. It provides multi-agent support, structured reasoning, role-based configuration, and smart context management to optimize AI workflows. The toolkit supports modular installation and profile switching to tailor AI contexts for coding or research tasks, enhancing productivity in scientific projects.