What is the key difference between Science AI MCP Server and Research Hub?

Science AI MCP Server belongs to the Research category with local stdio execution, while Research Hub belongs to the Research category with local stdio execution.

How do I install Science AI MCP Server or Research Hub in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Science AI MCP Server and Research Hub free or paid?

Science AI MCP Server operates under a Freemium model (API Key required). Research Hub operates under a Free / Open Source model (API Key required).

Which MCP server has more tools and community activity?

Science AI MCP Server lists 6 tools with 6 views and 1 GitHub stars. Research Hub lists 6 tools with 2 views and 54 GitHub stars.

Can I use both Science AI MCP Server and Research Hub together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Science AI MCP Server vs Research Hub

In-depth architectural comparison of the Science AI MCP Server and Research Hub MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Science AI MCP Server

Research · Local stdio

Quality: 60/100 (Good) | Auth: API Key required

Research Hub

Research · Local stdio

Quality: 56/100 (Good) | Auth: API Key required

Verdict Summary: Choose Science AI MCP Server if you need specialized Research tools running via a local process. Choose Research Hub if your workspace requires Research integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Science AI MCP Server when:

You need dedicated capabilities in the Research domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Freemium).
You have access to required keys: SCIENCE_AI_API_KEY, SCIENCE_AI_BASE_URL.
Primary tools included: pre_check_paper, check_duplicate_publication, recommend_journals.

Explore Science AI MCP Server Details

Choose Research Hub when:

You need dedicated capabilities in the Research domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
You have access to required keys: ZOTERO_API_KEY, ZOTERO_USER_ID, NOTEBOOKLM_API_KEY, GOOGLE_API_KEY, GOOGLE_OAUTH_CLIENT_ID, GOOGLE_OAUTH_CLIENT_SECRET.

Feature & Specification Comparison

Specification	Science AI MCP Server SelfPy Research	Research Hub WenyuChiou Research
Summary	Academic peer-review and research workflow tools from Science AI Journal: Pre-Check (paper-tier prediction), AI multi-agent peer review, Research Gaps Finder, Journal Recommender (1,214 venues with predatory-journal flags), Duplicate Publication Checker (CrossRef/arXiv/medRxiv/bioRxiv/Unpaywall/900k-paper library), and the Article Writer pipeline. Free local tools (FTS5, zero LLM cost); LLM tools use caller account credits.	Research workspace MCP integrating Zotero, Obsidian, and NotebookLM. Search papers (arXiv/Semantic Scholar/PubMed/CrossRef), ingest into Zotero, sync notes to Obsidian, verify NotebookLM briefs. All three external tools optional. pip install research-hub-pipeline then research-hub serve.

Tools & Capabilities Breakdown

Science AI MCP Server Tools (6)

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

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Science AI MCP Server Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "selfpy-science-ai-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "science-ai-mcp-server"
      ],
      "env": {
        "SCIENCE_AI_API_KEY": "YOUR_SCIENCE_AI_API_KEY_HERE",
        "SCIENCE_AI_BASE_URL": "YOUR_SCIENCE_AI_BASE_URL_HERE"
      }
    }
  }
}

Research Hub Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "wenyuchiou-research-hub": {
      "command": "uvx",
      "args": [
        "research-hub-pipeline"
      ],
      "env": {
        "ZOTERO_API_KEY": "YOUR_ZOTERO_API_KEY_HERE",
        "ZOTERO_USER_ID": "YOUR_ZOTERO_USER_ID_HERE",
        "NOTEBOOKLM_API_KEY": "YOUR_NOTEBOOKLM_API_KEY_HERE",
        "GOOGLE_API_KEY": "YOUR_GOOGLE_API_KEY_HERE",
        "GOOGLE_OAUTH_CLIENT_ID": "YOUR_GOOGLE_OAUTH_CLIENT_ID_HERE",
        "GOOGLE_OAUTH_CLIENT_SECRET": "YOUR_GOOGLE_OAUTH_CLIENT_SECRET_HERE"
      }
    }
  }
}

Frequently Asked Questions

Science AI MCP Server is categorized under Research and uses a local stdio subprocess. In contrast, Research Hub belongs to Research using local stdio subprocess. Select Science AI MCP Server when you need capabilities focused on research and Research Hub when you require tools for research.

More alternatives to Science AI MCP Server More alternatives to Research Hub Research category hub