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ScienceClaw MCP Server

beita6969/ScienceClaw

Score: 57.8 Rank #7293 MCP Server
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Verifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay-verified executions.

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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

TypeScript MIT
aiai-agentbioinformaticsliterature-reviewllmmcpmeta-analysisopenclawpubmedresearchresearch-toolssciencescientific-researchself-evolvingzero-hallucination

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 964

964 stars → growing community

Freshness 25% 11d ago

Last commit 11d ago → recently updated

Issue Health 25% 0%

0/10 issues closed → many open issues

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 107
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Issue Health high impact

You have 10 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

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Matched Queries

topic:mcp

From the README

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  <strong>A self-evolving AI research colleague for scientists.</strong>
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## 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.

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## 🧬 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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