Multi Agent Research POC
What is MCP Server?
MCP Server is a research assistant system that allows AI agents to collaborate on gathering and summarizing web information. It combines local AI processing with live web search capabilities.How to use MCP Server?
The system works by having specialized agents (Searcher and Synthesizer) collaborate - one finds information and the other summarizes it. You just need to provide your research question.Use Cases
Ideal for market research, academic studies, competitive analysis, and any scenario requiring synthesized web information.Key Features
Local AI ProcessingUses Ollama to run language models locally for privacy and cost efficiency
Brave Search IntegrationAccess to comprehensive web search results through Brave's API or MCP plugin
Multi-Agent CollaborationSpecialized agents work together to research and synthesize information
Pros and Cons
Advantages
Privacy-focused local processing
No vendor lock-in with open architecture
Combines best of local AI and web search
Limitations
Requires local setup of Ollama
Brave API has usage limits
Currently text-only output
Getting Started
Install Dependencies
Install required Python packages
Set Up Environment
Add your Brave API key to .env file
Run Ollama
Start your local LLM server
Start the System
Launch the research assistant
Example Use Cases
Market ResearchFinding emerging startups in a specific sector
Technical ComparisonComparing different technology approaches
Frequently Asked Questions
Do I need programming skills to use this?
How is this different from ChatGPT?
Can I use other search providers?
Additional Resources
Ollama Documentation
Guide to setting up local LLMs
Brave Search API
Information about Brave's search API
Example GitHub Repository
Complete project code
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