BGPT MCP Server | Awesome MCP Servers

BGPT MCP + REST API

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

BGPT is a remote Model Context Protocol (MCP) server and traditional JSON/HTTP API that gives AI assistants and Python apps 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

Use BGPT from Python, REST, or an MCP client — no API key required for the free tier (50 free results).

Option A: Python / REST API

Call the HTTP API directly from any Python script or notebook:

import requests


def search_bgpt(query, num_results=10, days_back=None, api_key=None):
    payload = {"query": query, "num_results": num_results}
    if days_back is not None:
        payload["days_back"] = days_back
    if api_key:
        payload["api_key"] = api_key

    response = requests.post(
        "https://bgpt.pro/api/mcp-search",
        json=payload,
        timeout=30,
    )
    response.raise_for_status()
    return response.json()["results"]


papers = search_bgpt("CRISPR delivery neurons", num_results=5)
print(papers[0]["title"])

Option B: Remote MCP Connection

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

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

Option D: 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 exposes the same scientific-paper search through an MCP tool and a REST endpoint.

REST endpoint

POST https://bgpt.pro/api/mcp-search

JSON field	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

MCP 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.)
        │
        │  MCP Protocol (SSE or Streamable HTTP)
        ▼
   BGPT MCP / REST API
   https://bgpt.pro/mcp/sse
   https://bgpt.pro/mcp/stream
   https://bgpt.pro/api/mcp-search
        │
        │  search_papers(query, ...)
        ▼
   BGPT Paper Database
   (full-text extracted data)
        │
        ▼
   Structured Results
   (methods, results, quality scores, 25+ fields)

BGPT is a hosted remote service — your MCP client connects via SSE or Streamable HTTP, or your app calls the REST endpoint directly. No Docker, scraping, or local index required.

Use Cases

Literature reviews — Ask your AI to survey a topic with real experimental data
Python notebooks — Pull recent paper evidence into analysis workflows with one HTTP call
Evidence synthesis — Ground AI responses in actual study findings
Research assistance — Find papers by methodology, outcome, or recency
Fact-checking — Verify claims against published experimental results
Grant writing — Quickly gather supporting evidence for proposals

Configuration Reference

Server Details

Field	Value
Protocol	MCP (Model Context Protocol)
Transport	SSE (Server-Sent Events) or Streamable HTTP
SSE Endpoint	`https://bgpt.pro/mcp/sse`
Streamable HTTP Endpoint	`https://bgpt.pro/mcp/stream`
REST Endpoint	`https://bgpt.pro/api/mcp-search`
Authentication	None required (free tier) / Stripe API key (paid)

Full MCP Client Config

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

Documentation

Full documentation, FAQ, and setup guides: bgpt.pro/mcp

OpenAPI spec for the REST endpoint: openapi.yaml

Additional REST discovery assets:

apis.json — machine-readable API discovery metadata
llms.txt — AI-crawler and agent-friendly product context
AGENTS.md — integration guidance for AI agents
USE_CASES.md — RAG, systematic review, notebook, and dashboard use cases
PROMPT_GALLERY.md — ready-to-use prompts for scientific RAG, agents, integrity checks, and visual demos
CITATION.cff and codemeta.json — research-software metadata
examples/bgpt_rest_python.py — Python requests example
examples/bgpt_rest_javascript.mjs — JavaScript fetch example
examples/bgpt_rest_curl.sh — cURL example
examples/bgpt_plotly_evidence_dashboard.py — Plotly evidence dashboard demo
examples/postman_collection.json — importable Postman collection

Support

Email: [email protected]
Issues: GitHub Issues
API Key / Billing: bgpt.pro/mcp

Contributing

See CONTRIBUTING.md for guidelines on reporting bugs, requesting features, and contributing.

License

This repository (documentation, examples, and configuration files) is licensed under the MIT License.

The BGPT MCP API service itself is operated by BGPT and subject to its own terms of service.