ScienceClaw MCP Server
beita6969/ScienceClaw
[](https://agentrank-ai.com/tool/beita6969--ScienceClaw/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Verifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay-verified executions.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
beita6969/ScienceClaw is a TypeScript tool licensed under MIT. Verifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay-verified executions. Topics: ai, ai-agent, bioinformatics, literature-review, llm, mcp, meta-analysis, openclaw, pubmed, research, research-tools, science, scientific-research, self-evolving, zero-hallucination.
Ranked #7293 out of 24846 indexed tools.
Ecosystem
Score Breakdown
964 stars → growing community
Last commit 11d ago → recently updated
0/10 issues closed → many open issues
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
<p align="center"> </p> <p align="center"> <strong>A self-evolving AI research colleague for scientists.</strong> </p> <p align="center"> </p> --- ## Why ScienceClaw? General-purpose AI assistants are built for everyone. ScienceClaw is built for **researchers**. The core idea is simple: an AI that does real scientific work — searching literature, querying databases, running analyses — and **gets better at it the more you use it**. It remembers your research context across sessions, adapts its skills to your field, and never fabricates a citation. ScienceClaw is built on the [OpenClaw](https://github.com/openclaw/openclaw) engine, but redesigned from the ground up for academic research. <p align="center"> </p> --- ## 🧬 Core 1: Self-Evolving Skills **This is ScienceClaw's most important feature.** Most AI tools ship with a fixed set of capabilities. ScienceClaw's skills **evolve with you**. Every time you complete a research task, the system learns: <Read full README on GitHub →
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