What Python version is required?
Python 3.10 or higher is required.
@JackKuo666
基本情報
🔍 This project implements a Model Context Protocol (MCP) server for interacting with the Semantic Scholar API. It provides tools for searching papers, retrieving paper and author details, and fetching citations and references.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"semanticscholar-MCP-Server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli@latest",
"install",
"@JackKuo666/semanticscholar-mcp-server",
"--client",
"claude",
"--config",
"{}"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
It implements a Model Context Protocol (MCP) server for interacting with the Semantic Scholar API. It provides tools for searching papers, retrieving paper and author details, and fetching citations and references. It is intended for developers using MCP clients such as Claude Desktop, Cursor, Windsurf, or Cline to access academic literature data.
Install the required Python packages (semanticscholar and mcp) or use the Smithery CLI for automatic installation. Start the server by running python semantic_scholar_server.py, then use an MCP client to invoke tools like search_semantic_scholar, get_semantic_scholar_paper_details, get_semantic_scholar_author_details, and get_semantic_scholar_citations_and_references.
Python 3.10 or higher is required.
The `semanticscholar` and `mcp` Python packages must be installed.
You can use the Smithery CLI: `npx -y @smithery/cli@latest install @JackKuo666/semanticscholar-mcp-server --client claude --config "{}"`.
Add a JSON entry to your `claude_desktop_config.json`. On Mac, use `"command": "python"` with `"args": ["-m", "semanticscholar_mcp_server"]`. On Windows, provide the full paths to the Python executable and the server script.
The server exposes four tools: `search_semantic_scholar`, `get_semantic_scholar_paper_details`, `get_semantic_scholar_author_details`, and `get_semantic_scholar_citations_and_references`.

Session replay, built for agents. Subtext is agentic session review: it captures production sessions of your app and connects them to your coding agent — Claude Code, Cursor, Codex, Devin, your own harness — so it can

DPF (Data Prompt Forge) is an AI-powered platform for data ingestion, transformation and analytics using natural language. Describe your data and the shape you want and the AI infers the schema and generates the pipeline

Investigate any website's technology stack: CMS, eCommerce, frameworks, analytics, CRM, payments, and hosting behind any URL. Ask "which of these 15 prospects use HubSpot vs Salesforce?" and get a table back. Free tier:

Remote MCP server with 40 AI agent tools for web search, scraping, research, crypto market data and on-chain analytics. Access 38 data endpoints via Streamable HTTP. Start with 3 free calls per wallet, then pay $0.005–$0

Most website visitors leave without filling out a form. AgentPixel turns the ones who click Accept into contacts your AI agent reads. 30-day trial, no card.
コメント