# MCP Gemini Server

> Use this tool when you need to integrate Google's Gemini AI models into your system, enabling capabilities like content generation, function calling, and chat through a standardized Model Context Protocol (MCP) interface. It solves problems of compatibility and accessibility by wrapping Gemini's models in a dedicated server, allowing seamless interaction with other LLMs and MCP-compatible systems. This server takes in standardized MCP inputs and outputs Gemini's capabilities, making it ideal for use cases requiring advanced AI functionalities in a unified framework.

Canonical page: https://skillsregistry.net/skills/bsmi021-mcp-gemini-server  
JSON: https://api.skillsregistry.net/v1/skills/bsmi021-mcp-gemini-server

## Description

A dedicated server that wraps Google's Gemini AI models in a Model Context Protocol (MCP) interface, allowing other LLMs and MCP-compatible systems to access Gemini's capabilities like content generation, function calling, chat, and file handling through standardized tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fakxcprcnk)
- **Repository:** <https://github.com/bsmi021/mcp-gemini-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": "bsmi021-mcp-gemini-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bsmi021-mcp-gemini-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bsmi021-mcp-gemini-server/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