Gemini Context MCP Server

Gemini Context MCP Server

Public
ogoldberg/gemini-context-mcp-server

Powerful Model Context Protocol server offering up to 2 million token context window support, session-based conversations, semantic context search, and efficient large prompt caching for optimized performance and cost reduction.

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May 30, 2025
Updated Jun 4, 2025

Supercharge Your AI with Gemini Context MCP Server

MCP Server

Unlock the full potential of Gemini Context MCP Server through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.

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Configuration Requirements
API Key
Configure authentication and required variables to access this MCP server
Required Environment Variables
GEMINI_TEMPERATURE
Optional
string

Temperature setting for the Gemini model

Default: 0.7
GEMINI_API_KEY
Optional
string

Your Gemini API key

MAX_SESSIONS
Optional
string

Maximum number of sessions

Default: 50
GEMINI_MODEL
Optional
string

The Gemini model to use

Default: gemini-2.0-flash
DEBUG
Optional
string

Enable debug mode

Default: false
MAX_TOKENS_PER_SESSION
Optional
string

Maximum tokens per session

Default: 2097152
GEMINI_MAX_OUTPUT_TOKENS
Optional
string

Maximum number of output tokens

Default: 2097152
GEMINI_TOP_K
Optional
string

Top-K setting for the Gemini model

Default: 40
SESSION_TIMEOUT_MINUTES
Optional
string

Session timeout in minutes

Default: 120
GEMINI_TOP_P
Optional
string

Top-P setting for the Gemini model

Default: 0.9
MAX_MESSAGE_LENGTH
Optional
string

Maximum message length

Default: 1000000

Security Notice

Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.

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