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Mobus

by mobus-ai·24·Score 43

MCP server for searching, previewing, and analyzing datasets across 20+ platforms.

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Overview

Mobus provides a unified MCP interface to discover, preview, and analyze datasets across 20+ platforms including Hugging Face, Kaggle, Zenodo, and government repositories. It offers 15 tools covering dataset discovery, evaluation, quality assessment, citation generation, and advanced research features. The server handles parallel requests across platforms gracefully, even when certain API keys are missing.

Try asking AI

After installing, here are 8 things you can ask your AI assistant:

you:Search for datasets across multiple platforms using specific criteria like licenses or formats
you:Preview and evaluate datasets before downloading them
you:Generate citations in various formats for academic papers
you:Trace citation graphs and research lineages
you:Compare multiple datasets side by side
you:Do I need API keys to use Mobus?
you:Which AI assistants are compatible with Mobus?
you:What happens if a platform's API is down?

When to choose this

Choose Mobus when you need to discover and analyze datasets across multiple platforms without maintaining separate connections to each one.

When NOT to choose this

Don't choose Mobus if you need write access to datasets or require real-time data updates, as it's read-only with limited API support for some platforms.

Tools this server exposes

12 tools extracted from the README
  • search_datasets

    Search all 20 platforms at once for datasets

  • find_research_datasets

    Find datasets used in research papers

  • get_dataset_details

    Get full metadata for a specific dataset

  • preview_dataset

    Preview the first N rows of a dataset

  • compare_datasets

    Compare 2-5 datasets side by side

  • generate_citation

    Generate APA, BibTeX, or Chicago citations for datasets

  • assess_quality

    Assess dataset quality including missing values and duplicates

  • check_license

    Check dataset license for commercial, academic, or internal use

  • find_similar

    Find datasets similar to one you have

  • check_compatibility

    Check schema compatibility against your schema

  • visualize_dataset

    Generate interactive ECharts dashboard for a dataset

  • watch_query

    Monitor for new datasets matching your query

Comparable tools

dataset-search-mcpdata-portal-mcpkaggle-mcpzenodo-mcp

Installation

Installation

Claude Desktop

Add Mobus to Claude in under a minute:

  1. Open claude.ai (or Claude Desktop/Mobile)
  2. Go to Settings → Connectors
  3. Click Add custom connector
  4. Name it 'Mobus' and paste this URL: https://mcp.mobus.ai/mcp
  5. Start a new chat and try searching for datasets

Local Installation

git clone https://github.com/hrantvirabyan/Mobus.git
cd Mobus
npm install
cp .env.example .env   # fill in any keys you have (all optional)
npm run build

Claude Desktop JSON Configuration

{
  "mcpServers": {
    "mobus": {
      "command": "node",
      "args": ["/absolute/path/to/Mobus/dist/main.js"]
    }
  }
}

FAQ

Do I need API keys to use Mobus?
No, all API keys are optional. The server will gracefully skip platforms that require authentication when keys aren't provided.
Which AI assistants are compatible with Mobus?
Mobus works with Claude (web, desktop, and mobile) and can be configured for other MCP-compatible AI assistants by adding the MCP server configuration.
What happens if a platform's API is down?
Mobus handles API failures gracefully and continues processing requests from other platforms without crashing.

Compare Mobus with

GitHub →

Last updated · Auto-generated from public README + GitHub signals.