# Brave-Gemini Research MCP Server

> Use this tool when you need to perform advanced research and information retrieval, as it solves problems related to finding and analyzing relevant data through web and local searches, and academic paper analysis. It takes in search queries and topics as inputs and provides structured research synthesis as output. Utilize it in contexts where real-time information retrieval and analysis are crucial, such as academic research, data-driven decision making, and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/falahgs-brave-gemini-research-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/falahgs-brave-gemini-research-mcp-server

## Description

Provides web and local search capabilities via Brave Search combined with advanced academic paper analysis using Google's Gemini model. It allows AI assistants to perform real-time information retrieval and structured research synthesis directly through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jir6ejl500)
- **Repository:** <https://github.com/falahgs/Brave-Gemini-Research-MCP-Server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "falahgs-brave-gemini-research-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/falahgs-brave-gemini-research-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/falahgs-brave-gemini-research-mcp-server/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt