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@IlyaGusev/academia_mcp

MCP server for scientific search and paper tools

Academia MCP connects an agent to research sources and document tools through MCP. It can search arXiv, ACL Anthology, Hugging Face datasets, and Semantic Scholar, then fetch web pages or PDFs, compile LaTeX, and run document QA or proposal helpers when you provide the needed keys.

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Who it's for

Builders who want their agent to search papers, read PDFs, and assemble research notes.

What it delivers

You can move from paper search to paper analysis without switching tools or retyping context.

What it does

Paper search and download

Search arXiv and ACL Anthology, then download arXiv papers for structured reading.

Dataset and citation lookup

Find Hugging Face datasets and pull citations or references from Semantic Scholar.

Web and page fetching

Search the web with Exa, Brave, or Tavily and normalize web pages for the agent.

PDF and LaTeX tools

Read PDFs page by page, fetch LaTeX templates, and compile LaTeX into PDF in a workspace.

LLM research helpers

Run document QA, PDF review, and research proposal helpers when OpenRouter is configured.

Token-based HTTP auth

Issue, list, and revoke tokens for HTTP transports when authentication is enabled.

How to get it

  1. 1Using pip (end users)
    pip3 install academia-mcp
  2. 2For development (uv + Makefile)
    uv venv .venv
    make install
  3. 3Run over HTTP (default transport)
    python -m academia_mcp --transport streamable-http
    # OR
    uv run -m academia_mcp --transport streamable-http
  4. 4Run over stdio (for local MCP clients like Claude Desktop)
    python -m academia_mcp --transport stdio
    # OR
    uv run -m academia_mcp --transport stdio

README

Academia MCP

PyPI CI License smithery badge Verified on MseeP

MCP server with tools to search, fetch, analyze, and report on scientific papers and datasets.

Features

  • 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

Requirements

  • Python 3.12+

Install

  • Using pip (end users):
pip3 install academia-mcp
  • For development (uv + Makefile):
uv venv .venv
make install

Quickstart

  • Run over HTTP (default transport):
python -m academia_mcp --transport streamable-http
# OR
uv run -m academia_mcp --transport streamable-http
  • Run over stdio (for local MCP clients like Claude Desktop):
python -m academia_mcp --transport stdio
# OR
uv run -m academia_mcp --transport stdio

Notes:

  • Transports: stdio, sse, streamable-http.
  • host/port are used for HTTP transports; ignored for stdio. Default port is 5056 (or PORT).

Authentication

Academia MCP supports optional token-based authentication for HTTP transports (streamable-http and sse). Authentication is disabled by default to maintain backward compatibility.

Enabling Authentication

Set the ENABLE_AUTH environment variable to true:

export ENABLE_AUTH=true
export TOKENS_FILE=/path/to/tokens.json  # Optional, defaults to ./tokens.json

Managing Tokens

Issue a new token:

academia_mcp auth issue-token --client-id=my-client --description="Production API client"

# Issue token with 30-day expiration
academia_mcp auth issue-token --client-id=test-client --expires-days=30

# Issue token with custom scopes
academia_mcp auth issue-token --client-id=admin --scopes="read,write,admin"

List active tokens:

academia_mcp auth list-tokens

Revoke a token:

academia_mcp auth revoke-token mcp_a1b2c3d4e5f6...

Using Tokens

Include the token in the Authorization header with the Bearer scheme or as a query parameter apiKey.

Security Notes:

  • Tokens are displayed only once during issuance. Store them securely.
  • Use HTTPS in production to protect tokens in transit.
  • The tokens.json file is automatically created with restrictive permissions (mode 600).
  • Tokens are stored in plaintext (standard practice for bearer tokens) - protect the tokens file.

Claude Desktop config

{
  "mcpServers": {
    "academia": {
      "command": "python3",
      "args": [
        "-m",
        "academia_mcp",
        "--transport",
        "stdio"
      ]
    }
  }
}

Available tools (one-liners)

  • 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.
  • download_pdf_paper, review_pdf_paper: Download and optionally review PDFs (requires LLM + workspace).
  • document_qa: Answer questions over provided document chunks (requires LLM).
  • extract_bitflip_info, generate_research_proposals, score_research_proposals: Research proposal helpers (requires LLM).

Availability notes:

  • Set WORKSPACE_DIR to enable compile_latex, read_pdf, download_pdf_paper, and review_pdf_paper.
  • Set OPENROUTER_API_KEY to enable LLM tools (document_qa, review_pdf_paper, and bitflip tools).
  • Set one or more of EXA_API_KEY, BRAVE_API_KEY, TAVILY_API_KEY to enable web_search and provider tools.

Environment variables

Set as needed, depending on which tools you use:

  • OPENROUTER_API_KEY: required for LLM-related tools.
  • BASE_URL: override OpenRouter base URL.
  • DOCUMENT_QA_MODEL_NAME: override default model for document_qa.
  • BITFLIP_MODEL_NAME: override default model for bitflip tools.
  • TAVILY_API_KEY: enables Tavily in web_search.
  • EXA_API_KEY: enables Exa in web_search and visit_webpage.
  • BRAVE_API_KEY: enables Brave in web_search.
  • WORKSPACE_DIR: directory for generated files (PDFs, temp artifacts).
  • PORT: HTTP port (default 5056).

You can put these in a .env file in the project root.

Docker

Build the image:

docker build -t academia_mcp .

Run the server (HTTP):

docker run --rm -p 5056:5056 \
  -e PORT=5056 \
  -e OPENROUTER_API_KEY=your_key_here \
  -e WORKSPACE_DIR=/workspace \
  -v "$PWD/workdir:/workspace" \
  academia_mcp

Or use existing image: phoenix120/academia_mcp

Examples

Makefile targets

  • make install: install the package in editable mode with uv
  • make validate: run black, flake8, and mypy (strict)
  • make test: run the test suite with pytest
  • make publish: build and publish using uv

LaTeX/PDF requirements

Only needed for LaTeX/PDF tools. Ensure a LaTeX distribution is installed and pdflatex is on PATH, as well as latexmk. On Debian/Ubuntu:

sudo apt install texlive-latex-base texlive-fonts-recommended texlive-latex-extra texlive-science latexmk

Files in the repo

Repository payload13 top-level entries
  • .github
  • academia_mcp
  • tests
  • .flake8
  • .gitignore
  • .pr_agent.toml
  • CLAUDE.md
  • Dockerfile
  • LICENSE
  • Makefile
  • pyproject.toml
  • README.md
  • smithery.yaml

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