# Gemini with Web Search

> Use this tool when you need to generate human-like text responses, engage in conversational dialogue, or analyze content with real-time web search results and video analysis. It solves problems in applications requiring AI-driven insights enriched with external data, such as customer support, content creation, and information retrieval. The tool accepts text inputs and returns augmented responses, making it ideal for use cases where up-to-date information and context are crucial.

Canonical page: https://skillsregistry.net/skills/techkwon-gemini  
JSON: https://api.skillsregistry.net/v1/skills/techkwon-gemini

## Description

MCP-Gemini provides a server implementation that integrates Google's Gemini AI model with additional context-enhancing capabilities through Google Search and YouTube APIs. Built with TypeScript and Fastify, this server exposes endpoints for text generation, chat functionality, and content analysis with external data enrichment. The implementation uses environment variables for configuration and API key management, while leveraging the Model Context Protocol SDK to standardize interactions between AI assistants and the Gemini model. Particularly useful for applications requiring AI responses augmented with real-time web search results or video content analysis.

## 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:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/techkwon-gemini)
- **Repository:** <https://github.com/techkwon/mcp-gemini>

## 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": "techkwon-gemini"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/techkwon-gemini` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/techkwon-gemini/pull`

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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