# BGPT MCP API

> Use this tool when you need to search and extract insights from scientific papers with raw experimental data, solving problems of manual data curation and literature review. It takes search queries as input and returns comprehensive metadata, methods, results, and quality scores for each paper. Ideal for researchers, developers, and data scientists looking to streamline their literature review process and integrate scientific data into their projects.

Canonical page: https://skillsregistry.net/skills/bgpt-bgpt-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bgpt-bgpt-mcp

## Description

Search scientific papers with raw experimental data extracted from full-text studies. Returns methods, results, quality scores, and 25+ metadata fields per paper. 50 free searches, then $0.01/result with an API key.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/bgpt/bgpt-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "bgpt-bgpt-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bgpt-bgpt-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bgpt-bgpt-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt