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MubasherMohammed
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bgpt-mcp

Search scientific papers and retrieve structured experimental data via the BGP T MCP server.

Updated May 10, 2026
Search Tags:#bioinformatics#full-text search#literature search#scientific papers#experimental data
One-click install
npx skills add https://github.com/MubasherMohammed/opencode-BioInfo --skill bgpt-mcp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bgpt-mcp
Source: https://github.com/MubasherMohammed/opencode-BioInfo/tree/main/python/skills/bgpt-mcp
Command: npx skills add https://github.com/MubasherMohammed/opencode-BioInfo --skill bgpt-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of manually sifting through scientific papers to extract methods, results, and conclusions. It provides instant access to structured experimental data extracted from full-text studies.

Core Features & Use Cases

  • Full-text Paper Search: Query a database of scientific papers and receive structured data from full-text studies.
  • Rich Metadata Extraction: Each result includes 25+ fields such as title, DOI, methods, results, conclusions, quality scores, and more.
  • Flexible Querying: Search by topic, filter by recency, and control result count.
  • MCP Protocol: Connects via standard Model Context Protocol (SSE or Streamable HTTP) for compatibility with any MCP-compatible client.

Quick Start

Use the bgpt-mcp skill to search for papers about "CRISPR gene editing efficiency" and retrieve structured data.

Frequently Asked Questions about bgpt-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract experimental data from full-text scientific papers?▼

You can extract experimental data from full-text scientific papers by querying the bgpt-mcp skill, which connects to a paper database and returns 25+ structured fields including methods, results, and conclusions.

What kind of structured metadata can I retrieve from a bioinformatics literature search?▼

A bioinformatics literature search retrieves 25+ metadata fields per paper, including the title, DOI, methods, results, conclusions, quality scores, and other rich experimental data extracted from full-text studies.

Do I need to install external Python packages to search scientific papers with MCP?▼

No, you do not need external Python packages to search scientific papers with MCP. The skill requires only Python 3.10 or higher and connects via standard Model Context Protocol using SSE or Streamable HTTP.

Can I filter scientific paper search results by recency and topic?▼

Yes, you can filter scientific paper search results by recency and topic. The skill supports flexible querying, allowing you to specify your search topic, filter by recent studies, and control the total result count.

Does the bgpt-mcp skill work with any MCP-compatible client?▼

Yes, the bgpt-mcp skill works with any MCP-compatible client. It connects via standard Model Context Protocol using SSE or Streamable HTTP, ensuring broad compatibility for literature reviews and data analysis workflows.

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