Deep Research

Name: Deep Research
Author: u14app

or · by u14app

Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.

4.7k 34.3k/wk 5 tools GitHub npm

No known CVEs

MIT license

Maintained

Last commit 147d ago

Works with most clients

Transport: stdio, sse, http

5 tools · ~245 tok

Grade A · 0.1% of 200K ctx

MCPpedia last refreshed this data 2d ago

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Deep Research is an MCP server that use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 88/100 on MCPpedia's security, maintenance and efficiency rubric.

Search AI / ML

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "deep-research": {
      "url": "http://127.0.0.1:3000/api/mcp",
      "timeout": 600,
      "transportType": "streamable-http"
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/deep-research)](https://mcppedia.org/s/deep-research)

Read me

What Deep Research does

Deep Research uses a variety of powerful AI models to generate in-depth research reports in just a few minutes. It leverages advanced "Thinking" and "Task" models, combined with an internet connection, to provide fast and insightful analysis on a variety of topics. Your privacy is paramount - all data is processed and stored locally.

Test This Server

This server supports HTTP transport. Be the first to test it - help the community know if it works.

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Scored, not listed

Why this score

Five weighted categories - click any category to see the underlying evidence.

Score breakdown

88/100across 5 weighted dimensions

How we score →

0255075100

−12

Security

Maintenance

Efficiency

Documentation

Compatibility

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Security

OSV.dev

No known CVEs.

Checked or against OSV.dev.

Inventory

Tools (5)

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~245 tokens total

Community

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Frequently Asked Questions

Is Deep Research safe to use?: Deep Research has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install Deep Research?: Deep Research supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Deep Research do?: Deep Research provides 5 tools: Prerequisites, Installation, Vercel, Cloudflare, Docker. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Deep Research?: Deep Research is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Deep Research actively maintained?: Deep Research is less actively maintained - last commit was 147 days ago. It has 4,685 GitHub stars.

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✨ Features

Rapid Deep Research: Generates comprehensive research reports in about 2 minutes, significantly accelerating your research process.

Multi-platform Support: Supports rapid deployment to Vercel, Cloudflare and other platforms.

Powered by AI: Utilizes the advanced AI models for accurate and insightful analysis.

Privacy-Focused: Your data remains private and secure, as all data is stored locally on your browser.

Support for Multi-LLM: Supports a variety of mainstream large language models, including Gemini, OpenAI, Anthropic, Deepseek, Atlas Cloud, Grok, Mistral, Azure OpenAI, any OpenAI Compatible LLMs, OpenRouter, Ollama, etc.

Support Web Search: Supports search engines such as Searxng, Tavily, Firecrawl, fastCRW, Exa, Bocha, Brave, etc., allowing LLMs that do not support search to use the web search function more conveniently.

Thinking & Task Models: Employs sophisticated "Thinking" and "Task" models to balance depth and speed, ensuring high-quality results quickly. Support switching research models.

Support Further Research: You can refine or adjust the research content at any stage of the project and support re-research from that stage.

Local Knowledge Base: Supports uploading and processing text, Office, PDF and other resource files to generate local knowledge base.

Artifact: Supports editing of research content, with two editing modes: WYSIWYM and Markdown. It is possible to adjust the reading level, article length and full text translation.

Knowledge Graph: It supports one-click generation of knowledge graph, allowing you to have a systematic understanding of the report content.

Research History: Support preservation of research history, you can review previous research results at any time and conduct in-depth research again.

Local & Server API Support: Offers flexibility with both local and server-side API calling options to suit your needs.

**Support for SaaS

Frequently Asked Questions

Is Deep Research safe to use?

Deep Research has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.

How do I install Deep Research?

Deep Research supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Deep Research do?

Deep Research provides 5 tools: Prerequisites, Installation, Vercel, Cloudflare, Docker. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Deep Research?

Deep Research is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is Deep Research actively maintained?

Deep Research is less actively maintained - last commit was 147 days ago. It has 4,685 GitHub stars.