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Gemini MCP Server

Name: Gemini MCP Server
Author: IA-Entertainment-git-organization

by IA-Entertainment-git-organization

Overview Schema Source Related Servers Discussions Admin

TypeScript

Remote

gemini-mcp-сервер

Реализация TypeScript сервера Model Context Protocol (MCP), который интегрируется с моделью Gemini от Google с помощью прямых вызовов API.

Функции

Использует прямые вызовы API Gemini (без устаревшего SDK)
Поддерживает последнюю модель Gemini 2.0 Flash
Реализует протокол MCP для бесшовной интеграции с Claude
Поддерживает контекст разговора для естественного взаимодействия

Related MCP server: Gemini MCP Server

Инструменты МКП

сгенерировать_текст

С сервера: близнецы

Генерация текста с использованием модели Gemini с настраиваемыми параметрами.

Предпосылки

Node.js 18 или выше
API-ключ Google Gemini
Машинопись
Приложение Клода для ПК

Установка

Клонируйте репозиторий:

git clone https://github.com/YOUR-USERNAME/gemini-mcp-server.git
cd gemini-mcp-server

Установить зависимости:

npm install

Строить:

npm run build

Интеграция рабочего стола Клода

Чтобы использовать этот сервер с Claude Desktop:

Открыть рабочий стол Клода
Перейдите в Настройки > Разработчик.
Нажмите «Изменить конфигурацию».
Добавьте следующую конфигурацию:

"gemini": {
  "command": "node",
  "args": ["path\\to\\dist\\gemini_mcp_server.js"],
  "env": {
    "GEMINI_API_KEY": "gemini_api_key"
  },
  "cwd": "path\\to\\gemini-mcp-server"
}

Заменять:

/path/to/gemini-mcp-server на абсолютный путь к вашему репозиторию
your_api_key_here на ваш реальный ключ API Google Gemini

Теперь сервер будет доступен в списке MCP-серверов Claude Desktop.

Реализация API

Этот сервер использует прямые HTTP-запросы к конечной точке API Gemini. Формат запроса API соответствует официальной документации Google:

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key=GEMINI_API_KEY" \
-H 'Content-Type: application/json' \
-X POST \
-d '{
  "contents": [{
    "parts":[{"text": "Explain how AI works"}]
    }]
   }'

Тестирование

Вы можете протестировать прямую реализацию API, используя пример скрипта:

node dist/example_direct_api.js "Your prompt here"

Лицензия

Массачусетский технологический институт

Available Tools

1 tool

generate_textD

Name	Required	Description	Default
`maxOutputTokens`	No
`prompt`	Yes
`stream`	No
`temperature`	No
`topK`	No
`topP`	No

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

1 tool updatev1.0.0May 15, 2025
- First observedgenerate_text

Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

D1.7/5.0

Scored 2026-04-18 10:05 across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'generate_text' has a distinct purpose by default.

Naming Consistency5/5

A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The name 'generate_text' follows a clear verb_noun pattern.

Tool Count2/5

One tool is too few for a server named 'Gemini MCP Server', which suggests a broader scope like interacting with Gemini AI services. A single text generation tool feels thin and incomplete for such a domain.

Completeness1/5

The server is severely incomplete for its implied purpose. With only a text generation tool, it lacks essential operations like chat interactions, model selection, or other AI functionalities expected from a Gemini server, leading to significant gaps.

Maintenance

ActivityInactive

ResponsivenessNo issues

Resources

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Appeared in Searches

A real-time voice and text AI assistant with Google Search integration and system control

gemini-mcp-сервер

Функции

Инструменты МКП

сгенерировать_текст

Предпосылки

Установка

Интеграция рабочего стола Клода

Реализация API

Тестирование

Лицензия

Available Tools

TDQS

Tool Schema Changelog

TDQS

Maintenance

Resources

Related MCP Connectors

Related MCP Servers