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SelfPy/science-ai-mcp-server

by Various

MCP server for Science AI Journal — Pre-Check, AI Review, Research Gaps, Journal Recommender, Duplicate Publication Checker, Article Writer. Use them inside Claude Desktop, Cursor,

S

MCP

SelfPy/science-ai-mcp-server

Added 1 June 2026

Overview

An MCP server that integrates with Science AI Journal to provide pre-check, AI review, research gap analysis, journal recommendation, duplicate publication checking, and article writing. It operates inside MCP-enabled clients such as Claude Desktop, Cursor, and Cline.

Best for

Best for
Researchers and developers who want AI-assisted manuscript workflows within MCP-compatible tools.

Use cases

  • Automate pre-submission checks for scientific manuscripts
  • Identify research gaps and get journal recommendations
  • Write or review articles with AI assistance inside a client

Notes

An MCP server that integrates with Science AI Journal to provide pre-check, AI review, research gap analysis, journal recommendation, duplicate publication checking, and article writing. It operates inside MCP-enabled clients such as Claude Desktop, Cursor, and Cline.

0 stars on GitHub. Last updated 2026-05-18. Licensed MIT.

Use cases

  • Automate pre-submission checks for scientific manuscripts
  • Identify research gaps and get journal recommendations
  • Write or review articles with AI assistance inside a client

Pros

  • Covers multiple stages of the publication workflow in one tool
  • Works with popular MCP clients without extra configuration
  • Written in TypeScript, making it accessible for developers

Cons

  • No stars or community activity on GitHub indicates early or niche adoption
  • Relies on external Science AI Journal API availability and accuracy
  • Limited to MCP-enabled clients; not standalone

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Covers multiple stages of the publication workflow in one tool
  • Works with popular MCP clients without extra configuration
  • Written in TypeScript, making it accessible for developers

Cons

  • No stars or community activity on GitHub indicates early or niche adoption
  • Relies on external Science AI Journal API availability and accuracy
  • Limited to MCP-enabled clients; not standalone