BGPT MCP API

Search scientific papers from Claude, Cursor, or any MCP-compatible AI tool.

BGPT is a remote Model Context Protocol (MCP) server that gives AI assistants access to a database of scientific papers built from full-text studies. Unlike typical search tools that return titles and abstracts, BGPT extracts raw experimental data — methods, results, conclusions, quality scores, sample sizes, limitations, and 25+ metadata fields per paper.

Quick Start

Add BGPT to your MCP client — no API key required for the free tier (50 free results).

Option A: Remote Connection (Recommended)

Most modern MCP clients support direct remote connections. BGPT offers two transports:

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

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "bgpt": {
      "url": "https://bgpt.pro/mcp/sse"
    }
  }
}

Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "bgpt": {
      "url": "https://bgpt.pro/mcp/sse"
    }
  }
}

Claude Code (CLI):

claude mcp add bgpt --transport sse https://bgpt.pro/mcp/sse

Cline / Roo Code / Windsurf — same config:

{
  "mcpServers": {
    "bgpt": {
      "url": "https://bgpt.pro/mcp/sse"
    }
  }
}

Tip: If your client supports Streamable HTTP, you can use https://bgpt.pro/mcp/stream instead.

Option B: Via npx (for clients that need a local command)

{
  "mcpServers": {
    "bgpt": {
      "command": "npx",
      "args": ["-y", "bgpt-mcp"]
    }
  }
}

Option C: Install globally

npm install -g bgpt-mcp

Then add to your MCP config:

{
  "mcpServers": {
    "bgpt": {
      "command": "bgpt-mcp"
    }
  }
}

Any MCP Client

Connect to either endpoint:

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

That's it. No Docker, no build step.

What You Get

BGPT provides one tool: search_papers

| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | query | string | Yes | Search terms (e.g. "CRISPR gene editing efficiency") | | num_results | integer | No | Number of results to return (1–100, default 10) | | days_back | integer | No | Only return papers published within the last N days | | api_key | string | No | Your Stripe subscription ID for paid access |

What comes back

Each paper result includes 25+ fields, extracted from the full text:

• Title & DOI — standard identifiers
• Methods — experimental design, techniques used
• Results — raw findings, measurements, statistical outcomes
• Conclusions — what the authors determined
• Quality scores — methodological rigor assessment
• Sample sizes — participant/specimen counts
• Limitations — acknowledged weaknesses
• And more — funding, conflicts of interest, study type, etc.

Example

Ask your AI assistant:

"Search for recent papers on CAR-T cell therapy response rates"

BGPT returns structured experimental data your AI can reason over — not just a list of titles.

Pricing

| Tier | Cost | Details | |------|------|---------| | Free | $0 | 50 free results, no API key needed | | Pay-as-you-go | $0.02/result | Billed per result returned. Get an API key at bgpt.pro/mcp |

How It Works

Your AI Assistant (Claude, Cursor, etc

... [View full README on GitHub](https://github.com/connerlambden/bgpt-mcp#readme)