广告合作
MCP.so
登录

Gemini Context MCP Server

@ogoldberg

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

ogoldberg

关于 Gemini Context MCP Server

MCP server for Cursor that leverages Gemini's much larger context window to enhance the capabilities of the AI tools

Gemini Context MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "gemini-context-mcp-server": {
      "command": "node",
      "args": [
        "dist/mcp-server.js"
      ]
    }
  }
}

Gemini Context MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Gemini Context MCP Server?

Gemini Context MCP Server is an MCP (Model Context Protocol) server that uses Gemini’s capabilities for context management and caching, supporting up to a 2M token context window. It enables session-based conversations, semantic search, and efficient reuse of large prompts to reduce costs.

How to use Gemini Context MCP Server?

Requires Node.js 18+, a Gemini API key, and cloning the repository. Install dependencies (npm install), copy .env.example to .env and add your key, then build (npm run build) and start (node dist/mcp-server.js). Quick client setup commands are available for Claude Desktop, Cursor, and VS Code (e.g., npm run install:claude). For custom usage, instantiate GeminiContextServer with optional configuration.

Key features of Gemini Context MCP Server

  • Up to 2M token context window support
  • Session-based conversations with state tracking
  • Semantic search for relevant context
  • Automatic context and cache expiration
  • Large prompt caching for cost optimization
  • TTL management for cached contexts

Use cases of Gemini Context MCP Server

  • Maintain conversational context across multiple interactions in a session
  • Improve response quality by reusing large system prompts via caching
  • Reduce API token costs by caching frequently used contexts
  • Find relevant past context using semantic similarity

常见问题

1

What are the runtime requirements?

Node.js 18+ and a Gemini API key are required.

2

How do I get a Gemini API key?

Obtain one from [ai.google.dev](https://ai.google.dev).

3

Which MCP clients are supported?

It works with Claude Desktop, Cursor, and VS Code via MCP-compatible extensions.

4

What MCP tools are available?

Context tools include `generate_text`, `get_context`, `clear_context`, `add_context`, and `search_context`. Caching tools include `create_cache`, `generate_with_cache`, `list_caches`, `update_cache_ttl`, and `delete_cache`.

5

How is context stored and does it persist?

Context and caches are held in memory with automatic expiration; database persistence is a planned future improvement.

评论

AI 与智能体 分类下的更多 MCP 服务器

HeyLead: LinkedIn Outreach & Lead Generation MCP Server

D4umak

HeyLead: AI agent for LinkedIn outreach. Finds the right people, writes in your voice, follows up and handles replies, from Claude Code, Cursor, any MCP client or a web dashboard.

9

Rumoro

@Rumoro

Social listening for AI agents. Rumoro's remote MCP server lets Claude, Cursor, Codex and other MCP clients search and sort mentions of your product, your competitors and your topics on Reddit, X, Hacker News, GitHub, Yo

Nero AI Image Processing

nero-com

We provide AI-powered tools for image enhancement, upscaling, background removal, photo restoration, colorization, denoising, and compression. All features are available through our API documentation.

strac-mcp-dlp

strac-io

Detect and redact PII, PHI, PCI and secrets — SSNs, credit cards, passports, API keys and cloud credentials — in text and in local files, using the Strac DLP API. Five tools: redact_text, detect_sensitive_data, detect_fi

3

localscreenshot - website screenshot mcp for ai agents

localscreenshot is a Website screenshot MCP server and API available at https://localscreenshot.com/api. Localscreenshot screenshot api turns any public web page into an image or a PDF. Take the capture from one of 227 c

广告合作