Last updated
June 5, 2026
MCP profile
Smithery IlyaGusev Academia Mcp
Search arXiv and ACL Anthology, retrieve citations and references, and browse web sources to accel…
Education & ResearchRemoteOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
Search arXiv and ACL Anthology, retrieve citations and references, and browse web sources to accel… This MCP server enables AI assistants like Claude to seamlessly interact with Smithery IlyaGusev Academia, providing structured access to its functionality through the Model Context Protocol (MCP).
Key Capabilities:
- Search and retrieve web content
- Extract structured data from web pages
- Navigate and interact with websites
- Process and analyze web content
Common Use Cases:
- Automated web research and data collection
- Content extraction and processing
- Market research and competitive analysis
- Building knowledge bases from web sources
How It Works: Smithery IlyaGusev Academia integrates with AI coding assistants and chat interfaces through the standardized MCP protocol. Once configured, your AI assistant can directly invoke Smithery IlyaGusev Academia's tools, enabling natural language interaction with its features without manual API calls or custom integrations.
Technical Details: Server type: Remote
Capabilities
ArXiv search and downloadACL Anthology searchHugging Face datasets searchSemantic Scholar citations and referencesWeb search via Exa, Brave, or TavilyWeb page crawler, LaTeX compilation, PDF readingOptional LLM-powered tools for document QA and research proposal workflows
Tools & Endpoints12
Example Workflow
• Comprehensive report screencast (YouTube)
• Single paper screencast (YouTube)
What Problems It Solves
- Comprehensive report screencast (YouTube)
- Single paper screencast (YouTube)
Why Use Smithery IlyaGusev Academia Mcp?
- ArXiv search and download
- ACL Anthology search
- Hugging Face datasets search
- Semantic Scholar citations and references
- Web search via Exa, Brave, or Tavily
- Web page crawler, LaTeX compilation, PDF reading
- Optional LLM-powered tools for document QA and research proposal workflows
Specifications
Status
live
Industry
Education & Research
Category
General
Server type
Remote
License
Open Source
Verified
Yes
Requirements
- • Python 3.12+
Hosting
Hosting Options
- Remote
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
bash
pip3 install academia-mcp2
Configure
Configuration
json
{
"mcpServers": {
"academia": {
"command": "python3",
"args": [
"-m",
"academia_mcp",
"--transport",
"stdio"
]
}
}
}Performance
Usage
Quick Reference
- Name
- Smithery IlyaGusev Academia Mcp
- Function
- Search arXiv and ACL Anthology, retrieve citations and references, and browse web sources to accel…
- Available Tools
- arxiv_search: Query arXiv with field-specific queries and filters., arxiv_download: Fetch a paper by ID and convert to structured text (HTML/PDF modes)., anthology_search: Search ACL Anthology with fielded queries and optional date filtering., hf_datasets_search: Find Hugging Face datasets with filters and sorting., s2_get_citations: List papers citing a given arXiv paper (Semantic Scholar Graph)., s2_get_references: List papers referenced by a given arXiv paper., visit_webpage: Fetch and normalize a web page., web_search: Unified search wrapper; available when at least one of Exa/Brave/Tavily keys is set., exa_web_search, brave_web_search, tavily_web_search: Provider-specific search., get_latex_templates_list, get_latex_template: Enumerate and fetch built-in LaTeX templates., compile_latex: Compile LaTeX to PDF in WORKSPACE_DIR., read_pdf: Extract text per page from a PDF.
- Transport
- Remote
- Install
- pip3 install academia-mcp
- Source
- External (Registry)
- License
- Open Source
Get started
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