Brave Gemini Research MCP Server

A modern MCP (Model Context Protocol) server implementation that provides AI assistants with web search capabilities via the Brave Search API and

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What is the Brave Gemini Research MCP Server?

A modern MCP (Model Context Protocol) server implementation that provides AI assistants with web search capabilities via the Brave Search API and advanced research

What the server does

This project enables AI assistants like Claude to perform web searches and analyze research papers directly through a standardized API interface. The MCP server exposes three main tools:

  • 🔍 Web Search API - Find information across the web
  • 🏢 Local Search API - Discover businesses and places
  • 📑 Research Paper Analysis - Analyze academic papers with Gemini AI
  • 🤖 Claude Integration - Seamless connection with Claude Desktop
  • 🛠️ Extensible Design - Easy to add new tools and capabilities

Credentials and setup notes

  • Node.js v18+ recommended - Brave Search API key (Get one here) - Google API key for Gemini integration (required for research paper analysis) - Claude Desktop for AI assistant integration (optional)

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
Functiongemini_research_paper_analysis
Parameters- paperContent (required): The full text of the research paper to analyze
countoptional): Number of results (1-20, default 5)
offsetoptional): Pagination offset (max 9, default 0)
analysisTypeoptional): Type of analysis to perform
Options"summary", "critique", "literature review", "key findings", "comprehensive" (default)
additionalContextoptional): Specific questions or context to guide the analysis
SummaryComprehensive overview including research question, methodology, key findings, and conclusions
CritiqueCritical evaluation of methodology, validity, limitations, and suggestions for improvement
ComprehensiveComplete analysis covering all aspects (default)

How to install the Brave Gemini Research MCP Server

{
  "mcpServers": {
    "Brave-Gemini Research": {
      "command": "node",
      "args": [
        "G:\\path\\to\\your\\brave-gemini-research-mcp\\dist\\index.js"
      ],
      "cwd": "G:\\path\\to\\your\\brave-gemini-research-mcp",
      "timeoutMs": 120000,
      "env": {
        "BRAVE_API_KEY": "YOUR_BRAVE_API_KEY",
        "GOOGLE_API_KEY": "YOUR_GOOGLE_API_KEY",
        "NODE_ENV": "production",
        "DEBUG": "mcp:*"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

  • Node.js v18+ recommended - Brave Search API key (Get one here) - Google API key for Gemini integration (required for research paper analysis) - Claude Desktop for AI assistant integration (optional)
VariableDescriptionRequired
BRAVE_API_KEYDeclared in the maintainer’s client configuration.Check documentation
GOOGLE_API_KEYDeclared in the maintainer’s client configuration.Check documentation
NODE_ENVDeclared in the maintainer’s client configuration.Check documentation
DEBUGDeclared in the maintainer’s client configuration.Check documentation

Example prompts to try

  • “Use Brave Gemini Research to Windows.”
  • “Use Brave Gemini Research to macOS.”
  • “Use Brave Gemini Research to Function.”

Frequently asked questions

A modern MCP (Model Context Protocol) server implementation that provides AI assistants with web search capabilities via the Brave Search API and advanced research Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.