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  3. Science AI MCP Server
Science AI MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 11:15:29 AM

Science AI MCP Server

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
researchacademic-writingpeer-reviewliterature-search

Research workflow tools for paper screening, duplication checks, journal selection, gap finding, peer review, and article writing.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ā–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "selfpy-science-ai-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "science-ai-mcp-server"
      ]
    }
  }
}

šŸ’” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (6) Directory Badge Claim listing AlternativesšŸ”¬ More in Research

Overview

SelfPy/science-ai-mcp-server MCP server exposes Science AI Journal research workflows through MCP clients such as Claude Desktop, Cursor, and Cline. It covers local paper pre-checking, publication-duplication searches, journal recommendations, research-gap analysis, AI review, and an Article Writer pipeline. A Science AI Journal API key is required, while some tools use account credits and others are free. Reach for it when an agent needs structured support for evaluating, reviewing, or preparing academic papers.

Use cases

•Screen a paper abstract before selecting a submission strategy
•Check a manuscript for possible duplicate publication
•Rank journals and identify predatory-journal flags
•Find research gaps and relevant highly cited papers
•Run an AI review or start an article-writing workflow

Key features

•Title-and-abstract acceptance tier prediction
•Cross-source duplicate publication checking
•Journal ranking across 1,214 venues
•Research-gap synthesis with citation and recency results
•AI peer review and Article Writer pipeline controls

Capabilities & Tool Schemas (6) ~135 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Science AI MCP Server.

pre_check_paper

Tier 1-5 acceptance probability from title + abstract (local FTS5, no LLM)

check_duplicate_publication

Cross-reference against CrossRef + arXiv + medRxiv + bioRxiv + Unpaywall + a 900k-paper library

recommend_journals

Ranked target journals from a 1,214-venue index, with predatory-journal flags

find_research_gaps

Synthesised gaps + most-cited + most-recent papers around your query

ai_review_paper

Single-agent AI peer-review pass on a prepared prompt

start_writer_pipeline

Drive the Article Writer pipeline from outside the wizard

How Science AI MCP Server works

What the SelfPy/science-ai-mcp-server MCP server does

SelfPy/science-ai-mcp-server MCP server brings Science AI Journal workflows into MCP-enabled assistants. It is aimed at researchers and developers building agent-assisted academic workflows, rather than general web search or document storage.

The available functions cover several stages of a publication workflow. A paper can be screened from its title and abstract, checked for possible duplicate publication, matched with journals, and analyzed for research gaps. The server also exposes an AI peer-review pass and controls for the Article Writer pipeline.

How it works

The client launches the package as a local MCP process and passes requests to Science AI Journal using an API key. The configured base URL defaults to the Science AI Journal service and can be changed for staging or self-hosted deployments.

Some operations use local or indexed data rather than an LLM. Paper pre-checking uses FTS5 and returns a predicted acceptance tier from 1 through 5. Duplicate checking searches CrossRef, arXiv, medRxiv, bioRxiv, Unpaywall, and a library containing about 900,000 papers. Journal recommendations use an index of 1,214 venues and include predatory-journal flags.

Other operations consume the caller's Science AI Journal account credits. These include research-gap synthesis, AI review, and Article Writer pipeline operations. The gap tool returns synthesized gaps along with highly cited and recent papers related to a query. The review tool performs a single-agent pass on a prepared prompt.

Setup and configuration

Install and run the SelfPy/science-ai-mcp-server MCP server through npx with Node.js 20 or newer:

config.json
{
  "mcpServers": {
    "science-ai-journal": {
      "command": "npx",
      "args": ["-y", "science-ai-mcp-server"],
      "env": {
        "SCIENCE_AI_API_KEY": "saij_your_key"
      }
    }
  }
}

Create the API key from the Science AI Journal account settings. A free account is required, and the token is shown only once. SCIENCE_AI_API_KEY is required. SCIENCE_AI_BASE_URL is optional and defaults to https://scienceaijournal.com; use it when targeting a supported staging or self-hosted endpoint.

The same MCP server configuration is documented for Claude Desktop, Cursor, and Cline. After changing the configuration, fully quit and reopen the host application so it reloads the server. An unauthorized response generally indicates an invalid, revoked, or expired key. The documented rate limit for find_research_gaps is 10 requests per hour per IP.

Tools and capabilities

  • pre_check_paper: Estimates a paper's acceptance tier from its title and abstract without an LLM.
  • check_duplicate_publication: Cross-references multiple scholarly indexes and the paper library.
  • recommend_journals: Ranks possible journals and marks predatory venues.
  • find_research_gaps: Produces research gaps and related citation and recency results.
  • ai_review_paper: Runs one AI peer-review pass over a prepared prompt.
  • start_writer_pipeline and get_writer_pipeline_status: Start and monitor the Article Writer pipeline.

SelfPy/science-ai-mcp-server MCP server is licensed under MIT. Its free tools do not require LLM usage, while credit-based operations depend on the caller's Science AI Journal account balance.

Read the full README →View source on GitHub →

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    Zotero MCP server (zotio-mcp) with a capability-tagged tool registry and preview-first, journaled writes (an agent can't silently mutate or delete your library). Reads work keyless against the local Zotero desktop API; writes route to the Web API. Ships an MCPB bundle for one-click Claude Desktop install.

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
1
Stargazers on the source repository.
npm downloads
223
Package downloads in the last 30 days.
Last commit
3mo ago
Most recent push to the default branch.
Tools exposed
6
Callable tools this server registers over MCP.
Directory activity
6 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Science AI MCP Server

Run it through npx with `npx -y science-ai-mcp-server` and configure the `SCIENCE_AI_API_KEY` environment variable. Node.js 20 or newer is required.

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Technical Specs & Signals

CategoryšŸ”¬Research
PricingFreemium
More technical detailsExpand ā–¾
TransportSTDIO
RuntimeNode.js
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code
Last updatedSep 2, 2026
9/10 checks healthy over the last 31d
Views6
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit3mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on May 18, 2026
npm downloads223/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
60Quality signal: Good Ā· 60/100How this signal is calculated ā–¾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools30/30
Adoption & activity4/15
Community engagement1/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 15d ago via OSV.dev Ā· science-ai-mcp-server (npm)

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