Skip to content
Skillpedia
Research51k · #1838

bgpt-paper-search

Lets your agent search scientific papers and extract detailed information. It's useful for literature reviews and finding specific experimental evidence.

What it does

Searches BGPT scientific papers by topic or DOI and retrieves extracted evidence from the full text, such as experiments and statistics. Helps find research details.

When to use it

  • ✓To review literature on a subject.
  • ✓To find specific evidence from a paper (DOI).
  • ✓To detail research experiments and results.

Example of what to ask your AI

“Find papers on artificial intelligence and machine learning with detailed experiments.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/K-Dense-AI/scientific-agent-skills/blob/main/skills/bgpt-paper-search/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/K-Dense-AI/scientific-agent-skills/blob/main/skills/bgpt-paper-search/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

You tell me what to search for (a topic or a paper's DOI). I use the BGPT service to search the full text of those papers and bring back the evidence information I find.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search

Or download just the file:

curl -L https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/bgpt-paper-search/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

BGPT Paper Search

When to use

Use BGPT to find full-text-derived evidence for a research question or a known DOI. It returns extracted claims and their supporting experiments, rather than only bibliographic metadata. Use these records to build a traceable evidence table; they are not a complete systematic-review search or a validated risk-of-bias assessment.

Connect

Configure BGPT in the host before use; installing this skill does not register an MCP server. The provider supports both transports:

Transport Endpoint
Streamable HTTP https://bgpt.pro/mcp/stream
SSE https://bgpt.pro/mcp/sse

Use the host's native remote-MCP configuration when supported. For a host that uses mcpServers JSON and requires a local stdio bridge, this configuration uses mcp-remote (adapt it to the host's actual settings format):

{
  "mcpServers": {
    "bgpt": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://bgpt.pro/mcp/stream", "--transport", "http-only"]
    }
  }
}

The published bgpt-mcp 1.1.0 npm package is a thin SSE wrapper around mcp-remote, not a local paper database. Its bundled README predates the current tool contract and pricing. Prefer the native connection or configurable bridge above. The linked BGPT GitHub repository was unavailable at review time; use the current provider documentation and live tool schema.

Free access needs no key. For paid usage, configure Authorization: Bearer <key> in the host's remote-server headers, using its credential storage. For the bridge, mcp-remote supports --header-file with a local credential file. Do not put api_key in an MCP tool call: neither current tool declares that argument. Authenticate through the connection.

Search and DOI lookup

Discover the connected server's tools before calling them. The live BGPT 2.14.7 schema reviewed on 2026-09-30 exposes:

Tool / argument Contract
search_papers.query Required string. Use short English search terms.
num_results Integer, 1–100; default 16. Set it explicitly to control result use.
days_back Optional integer; papers published within the last N days. Omit for all dates.
min_citations Optional integer; minimum number of references cited by the paper, not citations received.
study_type Optional string: primary study, systematic review, meta-analysis, narrative review, protocol, dataset, commentary, or other.
output_format evidence (default), full, or legacy.
lookup_paper.doi Required DOI string; also accepts output_format. A found paper counts as one result.

Use the filter arguments instead of putting years or filters into the query. No Boolean-query grammar, offset, page, or cursor is documented by this schema. A result limit is not pagination: do not invent continuation arguments or claim the search enumerates every matching paper. For broader coverage, run explicit question variants and deduplicate by DOI while retaining the query history.

Search example verified with one public result (invoke through the connected tool interface):

{"query": "CRISPR human cells", "num_results": 1, "output_format": "full"}

Illustrative filtered search (filters were schema-checked, not executed):

{"query": "CRISPR delivery neurons", "num_results": 5, "days_back": 90, "study_type": "primary study", "output_format": "evidence"}

For a paper already identified, call lookup_paper with its bare DOI rather than hoping a title search returns that exact paper:

{"doi": "10.1016/j.ymeth.2015.10.014", "output_format": "evidence"}

Do not interpret a connection, quota, or tool error as an empty evidence set. The provider publishes a result allowance, but no numeric request-rate limit on the reviewed page; avoid assuming unlimited request throughput.

Read the result contract

Search returns an envelope with a results list and count; record the returned query too, since the service may rewrite search terms. DOI lookup returns found and a single result; handle not-found before reading it. Inspect the MCP result for tool errors before interpreting the envelope.

  • evidence gives compact evidence records; empty optional fields may be absent.
  • full adds legacy paper metadata to the evidence record.

…

FAQ

What is 'extracted evidence'?

It's specific information like experiments conducted, statistics reported, the study's scope, and its limitations, taken directly from the scientific paper's text.

Can I use this for a full systematic review?

No, this tool helps find specific evidence but doesn't replace a complete, validated search for systematic reviews or risk assessments.

What is a DOI?

DOI (Digital Object Identifier) is a unique code that identifies a scientific paper, like a social security number for the article.

Details

Original description by the author

Searches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance. Use for literature reviews, evidence synthesis, and finding experimental details beyond abstracts.

repo: K-Dense-AI/scientific-agent-skills

Popularity

GitHub stars
51k
Ranking position
#1838
License
MIT
Updated
10/15/2026

Is this skill useful?

0

Sign in to vote.

Comments

  • …

More skills from this repository

Similar skills