IlyaGusev Academia Mcp

ai.smithery由 smithery.ai 发布官方发布者v1.16.0更新于 Oct 24, 2026

Search arXiv and ACL Anthology, retrieve citations and references, and browse web sources to accel…

发布方自己的服务:222wcnm Bilistalkermcp

已验证Streamable HTTP可网页运行网页搜索与抓取文件与存储知识与记忆

概览

AI 生成的概览

让助手检索 arXiv、ACL Anthology 与 Hugging Face 数据集,追踪引用、读取 PDF、编译 LaTeX 并进行网页搜索。

可以做什么
提供按字段过滤查询 arXiv、将论文下载为结构化文本、检索 ACL Anthology 与 Hugging Face 数据集,以及通过 Semantic Scholar 列出引用或被引用论文的工具。还可抓取并规范化网页,通过 Exa、Brave 或 Tavily 进行网页搜索,逐页提取 PDF 文本,并在工作目录中把 LaTeX 编译为 PDF。可选的 LLM 工具可对文档片段问答,并协助起草或评分研究提案。
适用场景
适合文献综述、引用追溯、数据集查找和论文阅读,让助手从学术来源而非开放网页取资料。也适合起草或评审研究提案,以及生成 LaTeX 或 PDF 输出。
运行要求
本地安装需 Python 3.12+(pip 包 academia-mcp),或使用远程端点;支持 stdio、sse、streamable-http 传输。可选密钥:OPENROUTER_API_KEY 用于 LLM 工具,EXA_API_KEY、BRAVE_API_KEY 或 TAVILY_API_KEY 用于网页搜索,WORKSPACE_DIR 用于 PDF 与 LaTeX 工具,PORT 用于 HTTP。LaTeX 工具需 PATH 中有 pdflatex 与 latexmk。可选令牌认证使用 ENABLE_AUTH 与 TOKENS_FILE。
安装前请注意
远程端点需要 Smithery 认证的 Authorization Bearer 令牌。可选的 HTTP 认证把 bearer 令牌以明文存入 tokens.json,且仅在签发时显示一次。LLM 与搜索工具会把查询和文档内容发送给 OpenRouter、Exa、Brave 或 Tavily。LaTeX 编译与 PDF 下载会向 WORKSPACE_DIR 写入文件。

安装

在 SourceWeft 中

  1. 打开 控制台中的 IlyaGusev Academia Mcp,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/ai.smithery%2FIlyaGusev-academia_mcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "ilyagusev-academia": {
      "type": "http",
      "url": "https://server.smithery.ai/@IlyaGusev/academia_mcp/mcp"
    }
  }
}

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):
bash
pip3 install academia-mcp
  • For development (uv + Makefile):
bash
uv venv .venvmake install

Quickstart

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

bash
export ENABLE_AUTH=trueexport TOKENS_FILE=/path/to/tokens.json  # Optional, defaults to ./tokens.json
Managing Tokens

Issue a new token:

bash
academia_mcp auth issue-token --client-id=my-client --description="Production API client"
# Issue token with 30-day expirationacademia_mcp auth issue-token --client-id=test-client --expires-days=30
# Issue token with custom scopesacademia_mcp auth issue-token --client-id=admin --scopes="read,write,admin"

List active tokens:

bash
academia_mcp auth list-tokens

Revoke a token:

bash
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

json
{  "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:

bash
docker build -t academia_mcp .

Run the server (HTTP):

bash
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:

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

来源:README.md,提交 8f1fa04

工具

0
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版本历史

1
  1. v1.16.0最新Sep 16, 2026

评分

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