$ loading_
Automate sequencing QC analysis, report parsing, and visualization for bioinformatics workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "BioQC-MCP" yet — see the docs or source repo.
Run FastQC and MultiQC on all FASTQ files in this sequencing project, summarize quality metrics for each sample, and flag abnormal samples that need review.
A QC summary for each sample, MultiQC aggregate results, and flagged outliers with possible causes.
Parse these FastQC/MultiQC HTML reports, extract key metrics such as Q30, GC content, adapter contamination, and duplication rate, and organize them into a table.
A structured metrics table ready for comparison, filtering, and export.
Create presentation-ready visualizations from the QC results, showing sample quality distributions, GC bias, and outliers, with brief interpretations.
Clear QC charts with short explanations to quickly communicate sequencing data quality.
MCP tool for QA workflows, testing, defect tracking, and reporting.
Analyze repositories, plan tests, and generate Playwright end-to-end test cases.
Automatically QA generated images against references and rules with structured scoring.
Manage QC records, turnover packages, and inspection sign-offs with natural language.
Analyze test reports across runs to find regressions, fixes, and persistent failures.
Parse JUnit reports, detect flaky tests, and evaluate quality gates.