Gemini Code Context

v1.16.3Knowledge & Memorystable

MCP server giving Claude Code persistent memory of your codebase via Gemini's 2M-token context. Drop-in upgrade over the abandoned gemini-mcp-tool — SDK-based, Files API + Context Cache (45s → 2s on repeat queries), dynamic model selection.

anthropicclaude-codecontext-cache
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What is Gemini Code Context?

Gemini Code Context is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server giving claude code persistent memory of your codebase via gemini's 2m-token context. drop-in upgrade over the abandoned gemini-mcp-tool — sdk-based, files api + context cache (45s → 2s on r...

MCP server giving Claude Code persistent memory of your codebase via Gemini's 2M-token context. Drop-in upgrade over the abandoned gemini-mcp-tool — SDK-based, Files API + Context Cache (45s → 2s on repeat queries), dynamic model selection.

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server giving Claude Code persistent memory of your code

Use Cases

Persistent codebase memory with 2M tokens
Context caching for faster queries
qmediat

Maintainer

LicenseMIT
Languagetypescript
Versionv1.16.3
UpdatedMay 1, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y @qmediat.io/gemini-code-context-mcp

Manual Installation

npx -y @qmediat.io/gemini-code-context-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Gemini Code Context

What is Gemini Code Context?

Gemini Code Context is a Model Context Protocol (MCP) server that mcp server giving claude code persistent memory of your codebase via gemini's 2m-token context. drop-in upgrade over the abandoned gemini-mcp-tool — sdk-based, files api + context cache (45s → 2s on repeat queries), dynamic model selection. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Gemini Code Context?

Install via npm with the command: npx -y @qmediat.io/gemini-code-context-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with Gemini Code Context?

Gemini Code Context works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Gemini Code Context free to use?

Yes, Gemini Code Context is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "gemini-code-context": { "command": "npx", "args": ["-y", "@qmediat.io/gemini-code-context-mcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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