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.
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
| Tool | Purpose |
|---|---|
conduct_research | Perform autonomous research on any topic |
deepen_research | Expand and deepen existing research with follow-up queries |
get_report | Retrieve the most recent research report |
summarize_findings | Get 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
Related Articles
Integration and Automation MCP Servers
The Integration & Automation category provides integration with automation tools and workflow systems, enabling seamless connectivity and process automation across different platforms and services.
Model Context Protocol (MCP): Open Standard for AI Integration
The Model Context Protocol (MCP) is an open standard enabling AI systems to connect with diverse data sources, tools, and services, eliminating custom integrations for seamless interaction.
Slack MCP Server
Slack MCP servers enable AI models to interact with Slack workspaces, providing capabilities for channel management, message posting, thread handling, and team collaboration workflows.