Scientific Research Papers MCP Server 📄

Scientific literature grounding MCP server for AI agents: unified search across 250M+ scholarly papers on arXiv, PubMed, OpenAlex, CrossRef, and Semantic Scholar.

🌐 Live Documentation & Web Portal: https://papers.builditwithai.xyz

⚡ Quickstart

# 1-Line Universal Installer (Auto-configures Claude Desktop, Cursor, Claude Code, Antigravity, VS Code, Zed, Windsurf)
curl -fsSL "https://papers.builditwithai.xyz/install" | bash

# Or run directly via your preferred runtime:
uvx find-research-papers-mcp
npx -y find-research-papers-mcp

🤖 Client Setup

A. Claude Code (CLI)

claude mcp add papers -- uvx find-research-papers-mcp

B. Cursor & Google Antigravity (`mcp.json`)

{
  "mcpServers": {
    "papers": {
      "command": "uvx",
      "args": ["find-research-papers-mcp"]
    }
  }
}

C. Claude Desktop (`claude_desktop_config.json`)

{
  "mcpServers": {
    "papers": {
      "command": "uvx",
      "args": ["find-research-papers-mcp"]
    }
  }
}

D. VS Code (Cline / Roo Code / Continue)

{
  "mcpServers": {
    "papers": {
      "command": "npx",
      "args": ["-y", "find-research-papers-mcp"]
    }
  }
}

🛠️ Tools & Capabilities

Tool Name	Parameters	Description	Return Type
`search_papers`	`query` (string), `sources` (list), `limit` (int)	Unified multi-index search across arXiv, PubMed, OpenAlex, CrossRef, Semantic Scholar.	`JSON / Markdown`
`get_paper`	`doi` (string) or `id` (string)	Retrieves paper metadata, abstract, authors, publication date, and open-access PDF link.	`JSON`
`get_references`	`doi` (string)	Fetches complete bibliography and referenced papers via CrossRef.	`JSON`
`get_citations`	`doi` (string)	Fetches citing papers and citation graph via OpenAlex.	`JSON`
`verify_paper`	`doi` (string)	HEAD-checks landing page accessibility and cross-checks retraction databases.	`JSON`
`list_sources`	(none)	Returns live status and latency metrics for all 5 scholarly indexes.	`JSON`
`skill_read`	`skill_name` (string)	Dynamically loads research methodology skills from GitHub.	`Markdown`
`skills_list`	(none)	Lists all available scientific research skills.	`JSON`

🔒 Telemetry & Privacy

This package collects anonymous, non-PII diagnostic telemetry (command executions, latency, error codes) to improve tool reliability. No research queries, paper results, personal data, source code, or environment variables are ever collected or stored.

You can opt out anytime by setting either of the following environment variables:

export DO_NOT_TRACK=1
# or
export MCP_TELEMETRY_OPT_OUT=1

📄 License

MIT License. See LICENSE for details.

Release files for find-research-papers-mcp 0.4.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for find-research-papers-mcp 0.4.5
File	Size	Uploaded
find_research_papers_mcp-0.4.5.tar.gz	42.9 kB	Aug 31, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for find-research-papers-mcp 0.4.5
File	Interpreter	ABI	Platform	Reset
find_research_papers_mcp-0.4.5-py3-none-any.whl 44.1 kB Aug 31, 2026	Python 3	none	any	Details

Total release size: 87.0 kB

Release files / find_research_papers_mcp-0.4.5.tar.gz

Download URL	find_research_papers_mcp-0.4.5.tar.gz
Size	42.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`03be5050dae9ecdc6c7d9eb38f21a8bd42a04614dbc1874963b0c02d96b92f4a`
BLAKE2b-256 checksum How to use checksums	`475864544c3b35cdbf4a3c17c9f678f947e212c6b4d6745ad167ffe97c523bf1`
Upload date	Aug 31, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}`

Release files / find_research_papers_mcp-0.4.5-py3-none-any.whl

Download URL	find_research_papers_mcp-0.4.5-py3-none-any.whl
Size	44.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`c2e82b496e3bc439b04a8a79878ed86569d0b256ce9c5ab61ec20bce32ca6deb`
BLAKE2b-256 checksum How to use checksums	`146377e09d35118223a08066d8c897031d420134dd077486b6d1dba00f481cce`
Upload date	Aug 31, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}`