広告掲載
MCP.so
ログイン

Deep Research MCP Server

@ssdeanx

リポジトリ

基本情報

カテゴリ

データと分析

トランスポート

stdio

作者

ssdeanx

Deep Research MCP Server について

MCP Deep Research Server using Gemini creating a Research AI Agent

#information-retrieval#research#knowledge#mcp#postgresql#gemini#postgresql-database#knowledge-base#autonomous-agents#ai-powered#research-automation#gemini-ai#mcp-servers#mcp-server#mcp-client#mcp-directory#deep-research#gemini-research#deep-research-google#research-automation-information-retrieval

Deep Research MCP Server の設定

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": {
    "deep-research-mcp-ssdeanx": {
      "command": "node",
      "args": [
        "src/db.ts"
      ]
    }
  }
}

Deep Research MCP Server のツール

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。

概要

What is Deep Research MCP Server?

Deep Research MCP Server is an AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and Gemini large language models. It is available as a Model Context Protocol (MCP) tool for seamless integration with AI agents.

How to use Deep Research MCP Server?

Install Node.js v22.x, set up environment variables (GEMINI_API_KEY, FIRECRAWL_KEY, DATABASE_URL for PostgreSQL), then build with npm run build. To use as an MCP tool, start the server with node --env-file .env.local dist/mcp-server.js. Alternatively, use the CLI directly with npm run start "your research query".

Key features of Deep Research MCP Server

  • MCP Integration for use with AI agents
  • Iterative research with automatic deepening
  • Intelligent query generation using Gemini LLMs
  • Configurable depth (1–5) and breadth (1–5)
  • Produces detailed markdown reports with sources
  • Concurrent search and result processing
  • Persistent knowledge storage via PostgreSQL

Use cases of Deep Research MCP Server

  • Investigate the latest developments in quantum computing across multiple rounds
  • Build a persistent knowledge base that improves over research sessions
  • Automate deep-dive literature reviews for technical or academic topics
  • Generate comprehensive, cited reports for business intelligence

よくある質問

1

What is Deep Research MCP Server and how does it differ from a simple search?

Unlike a single web search, Deep Research MCP Server iteratively refines its research direction: it generates follow‑up search queries based on previous learnings and can dive deeper (up to 5 levels) while keeping a broad scope (up to 5 branches per level).

2

What are the runtime requirements?

It requires Node.js v22+, a Firecrawl API key for web search and content extraction, a Gemini API key for LLM processing, and a PostgreSQL database (local or remote) for persistent storage.

3

How does the server store and manage research data?

All research findings and visited URLs are stored in a PostgreSQL database. Previously processed URLs are tracked to avoid duplicates, and the agent can reference past learnings to guide new research directions.

4

What parameters control the research depth and breadth?

The MCP tool accepts `query` (string), `depth` (1–5, how many levels of recursion), `breadth` (1–5, how many parallel directions per level), and an optional `existingLearnings` array to build upon prior results.

5

How can I start the MCP server?

After building the project, run `node --env-file .env.local dist/mcp-server.js`. The server listens for MCP‑compatible client requests. You can also test it with `npx @modelcontextprotocol/inspector node …`.

コメント

「データと分析」の他のコンテンツ

YouTube MCP Server

HasData

Hosted YouTube MCP server for search, video metadata, channel data and timestamped transcripts. Connect Claude, Cursor or other MCP clients with HasData; no YouTube API key required.

6

Octolens

Octolens

Give your AI agents every brand mention across the internet — 15+ platforms, AI-filtered, one structured feed.

PropertyRadar

PropertyRadar

Research U.S. markets and prospects conversationally using PropertyRadar's property and people data. Resolve an address, inspect Property details, transactions, comparable sales, ownership and contact information, discov

Hunter MCP

Hunter.io

Hunter MCP connects AI assistants and agents to Hunter’s B2B data, enabling them to find companies and contacts, discover and verify professional email addresses, enrich leads, and manage lead lists using natural-languag

FastSocial Instagram Data

FastSocialCo

Read-only public Instagram data as JSON: profiles, posts, reels, stories, comments and daily top-accounts charts. Free plan with 50 credits a month.

広告掲載