What are the prerequisites?
Python ≥ 3.10 and Google Chrome/Chromium are required. Set the environment variable `CDP_ENDPOINT` to the Chrome debugging port (default `http://localhost:9222`). Optionally set `GOOGLE_PROXY` for an HTTP(S) proxy.
@Pb-207
基本情報
An mcp server designed for local-deployed deep research.
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。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
mcp-deep-research is a lightweight Model Context Protocol (MCP) server that helps you discover, retrieve, and read academic papers from the web using the Google Scholar interface. It is designed for researchers and anyone who needs to quickly search for and extract clean-text content from academic papers.
Install via pip (command not yet listed; use pip install placeholders as the README does not provide the exact package name). Optionally launch Google Chrome with remote debugging on port 9222 if it is not already running. Then run the server with either mcp-deep-research --transport sse --port 8000 for SSE or mcp-deep-research --transport stdio for STDIO transport. The server exposes three read-only tools to any MCP-capable client.
Python ≥ 3.10 and Google Chrome/Chromium are required. Set the environment variable `CDP_ENDPOINT` to the Chrome debugging port (default `http://localhost:9222`). Optionally set `GOOGLE_PROXY` for an HTTP(S) proxy.
Set the `CDP_ENDPOINT` environment variable to your Chrome debugging endpoint. Optionally set `GOOGLE_PROXY` for proxy support. You can also manually launch Chrome with `--remote-debugging-port=9222` if the auto-launch fails.
Yes, it is 100% read-only. It does not write, upload, or access local files, and it respects each site’s robots.txt.
It supports two transports: SSE (set with `--transport sse --port 8000`) and STDIO (`--transport stdio`).
No, the README states it is 100% read-only; no writes, no uploads, no local file access. No data is stored by the server itself.

An MCP server that connects an agent to your Beamtrace AI visibility data. It exposes tools to analyze your score, explain a shift, see where a competitor is ahead, and pull the fix behind a visibility gap. Ready to plug

Cross-channel marketing MCP. Manage Google, Meta, TikTok, Microsoft, Pinterest, Amazon, LinkedIn and Reddit ads from Claude, ChatGPT, Cursor or any MCP client.

AI sales team for export-import businesses: specialist agents for outbound prospecting, trade data analysis and compliance (HS codes, tariffs, landed cost, OFAC sanctions).

MCP server for AI visibility and SEO data. Check whether ChatGPT, Claude, Perplexity and Gemini mention your brand and which sources they cite, plus keyword search volume and Google Trends. Pay per call, no subscription.
Hosted TikTok MCP server for AI agents: read public profiles, account videos, comments and replies, or search videos and creators. Structured JSON for creator research and content analysis.
コメント