
bgpt-mcp
Search scientific papers with AI tools. Get experimental data, methods, results, and quality scores from full-text studi
Search scientific papers from any AI tool and get raw experimental data including methods, results, conclusions, quality scores, and 25+ metadata fields extracted from full-text studies.
About bgpt-mcp
bgpt-mcp is a community-built MCP server published by connerlambden that provides AI assistants with tools and capabilities via the Model Context Protocol. Search scientific papers with AI tools. Get experimental data, methods, results, and quality scores from full-text studi It is categorized under databases. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
How to install
You can install bgpt-mcp in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
bgpt-mcp is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Tools (1)
Search scientific papers by query with options for number of results, date range, and returns structured experimental data including methods, results, conclusions, quality scores, sample sizes, and limitations
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/streaminstead.
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.)
│
│ MCP Protocol (SSE or Streamable HTTP)
▼
BGPT MCP Server
https://bgpt.pro/mcp/sse
https://bgpt.pro/mcp/stream
│
│ search_papers(query, ...)
▼
BGPT Paper Database
(full-text extracted data)
│
▼
Structured Results
(methods, results, quality scores, 25+ fields)
BGPT is a hosted remote server — your MCP client connects via SSE or Streamable HTTP. No local installation needed.
Use Cases
- Literature reviews — Ask your AI to survey a topic with real experimental data
- 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 |
| 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
Support
- Email: contact@bgpt.pro
- 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.
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