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IA-Entertainment-git-organization

Gemini MCP Server

by IA-Entertainment-git-organization
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Remote

gemini-mcp-server

A TypeScript implementation of a Model Context Protocol (MCP) server that integrates with Google's Gemini model using direct API calls.

Features

  • Uses direct calls to the Gemini API (no deprecated SDK)

  • Supports the latest Gemini 2.0 Flash model

  • Implements MCP protocol for seamless integration with Claude

  • Maintains conversation context for natural interactions

Related MCP server: Gemini MCP Server

MCP Tools

generate_text

From server: gemini

Generate text using Gemini model with configurable parameters.

Prerequisites

  • Node.js 18 or higher

  • Google Gemini API key

  • TypeScript

  • Claude Desktop app

Installation

  1. Clone the repository:

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

  1. Install dependencies:

npm install

  1. Build:

npm run build

Claude Desktop Integration

To use this server with Claude Desktop:

  1. Open Claude Desktop

  2. Go to Settings > Developer

  3. Click "Edit Config"

  4. Add the following configuration:

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

Replace:

  • /path/to/gemini-mcp-server with the absolute path to your repository

  • your_api_key_here with your actual Google Gemini API key

The server will now be available in Claude Desktop's MCP server list.

API Implementation

This server uses direct HTTP requests to the Gemini API endpoint. The API request format follows Google's official documentation:

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"}]
    }]
   }'

Testing

You can test the direct API implementation using the example script:

node dist/example_direct_api.js "Your prompt here"

License

MIT

Available Tools

1 tool
generate_textD
ParametersJSON Schema
NameRequiredDescriptionDefault
maxOutputTokensNo
promptYes
streamNo
temperatureNo
topKNo
topPNo

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. Dates show when Glama detected each change.

  1. 1 tool updatev1.0.0
    • First observedgenerate_text
Install Server
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TDQS

D1.7/5.0
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
ResponsivenessSyncing

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Connectors

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  • MCP Gemini Server

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