Metadata-Version: 2.4
Name: academia-mcp
Version: 1.0.3
Summary: MCP server that provides different tools to search for scientific publications
Author-email: Ilya Gusev <phoenixilya@gmail.com>
Project-URL: Homepage, https://github.com/IlyaGusev/academia_mcp
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.12
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: mcp>=1.12.4
Requires-Dist: xmltodict>=0.14.0
Requires-Dist: types-xmltodict>=0.14.0
Requires-Dist: requests>=2.32.0
Requires-Dist: types-requests>=2.32.0
Requires-Dist: pypdf>=5.1.0
Requires-Dist: beautifulsoup4>=4.12.0
Requires-Dist: types-beautifulsoup4>=4.12.0
Requires-Dist: markdownify==0.14.1
Requires-Dist: acl-anthology==0.5.2
Requires-Dist: markdown==3.7.0
Requires-Dist: types-markdown==3.7.0.20250322
Requires-Dist: black==25.1.0
Requires-Dist: mypy==1.16.0
Requires-Dist: flake8==7.2.0
Requires-Dist: huggingface-hub>=0.32.4
Requires-Dist: fire>=0.7.0
Requires-Dist: pytest>=8.4.1
Requires-Dist: openai>=1.97.1
Dynamic: license-file

# Academia MCP

A collection of MCP tools related to the search of scientific papers:
- ArXiv search and download
- ACL Anthology search
- HuggingFact datasets search
- Semantic Scholar citation graphs

Install:
```
pip3 install academia-mcp
```

Comprehensive report screencast: https://www.youtube.com/watch?v=4bweqQcN6w8

Single paper screencast: https://www.youtube.com/watch?v=IAAPMptJ5k8

Claude Desktop config:
```
{
  "mcpServers": {
    "academia": {
      "command": "python3",
      "args": [
        "-m",
        "academia_mcp"
      ]
    }
  }
}
```
