AI Research Assistant MCP Server

AI Research Assistant MCP server provides autonomous deep research capabilities — searching, analyzing, and synthesizing information from across the web into comprehensive research reports.

May 4, 2025
MCP ServerScience & ResearchAI Research Assistant MCP Server
GitHub starsPyPI version

Overview

The AI Research Assistant MCP Server brings autonomous research capabilities to AI assistants. Powered by the popular gpt-researcher project with over 26,900 GitHub stars, this server enables AI models to conduct deep research on any topic — searching the web, analyzing academic sources, and generating comprehensive research reports with citations. It's like having a dedicated research analyst available on demand.

Popular Open Source Project:

Based on gpt-researcher — one of the most popular autonomous research tools with 26,900+ GitHub stars

Key Features

🔍

Autonomous Research

Fully autonomous research agent that plans, searches, and synthesizes information without manual intervention

🌐

Multi-Source Aggregation

Searches across web, academic papers, news, and specialized sources for comprehensive coverage

📊

Structured Reports

Generates well-organized research reports with executive summaries, detailed findings, and conclusions

📋

Citation Support

All findings include proper citations and source attribution for verification

🎯

Customizable Depth

Configure research depth from quick overviews to deep, exhaustive analysis

🔄

Iterative Refinement

Research can be refined and expanded with follow-up questions and deeper exploration

Available Tools

Quick Reference

ToolPurpose
conduct_researchPerform autonomous research on any topic
deepen_researchExpand and deepen existing research with follow-up queries
get_reportRetrieve the most recent research report
summarize_findingsGet a concise summary of key findings

Detailed Usage

conduct_research

Perform autonomous research on any topic. The agent plans and executes a comprehensive research strategy.

{
  "query": "Latest developments in quantum computing 2025",
  "depth": "deep",
  "include_sources": true
}
deepen_research

Expand existing research with a follow-up query, diving deeper into specific aspects.

{
  "follow_up": "What are the key challenges in scaling quantum computers?",
  "depth": "deep"
}
summarize_findings

Get a concise bullet-point summary of the research findings.

{
  "max_points": 10
}

Installation

{
  "mcpServers": {
    "research-assistant": {
      "command": "uvx",
      "args": ["gpt-researcher-mcp"],
      "env": {
        "OPENAI_API_KEY": "your_openai_api_key"
      }
    }
  }
}

API Key Required:

Requires an OpenAI API key for the underlying language model. Get one from platform.openai.com

Use Cases

Literature Review

Ask AI to conduct a comprehensive literature review on any academic topic with cited sources.

Competitive Analysis

Research competitors, market trends, and industry landscapes with structured reports.

Technology Research

Deep dive into emerging technologies, frameworks, and tools with technical analysis.

Fact-Checking

Verify claims, gather supporting evidence, and cross-reference information from multiple sources.

Sources