Gemini Context MCP Server

Gemini Context MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. MCP server for Cursor that leverages Gemini's much larger context window to enhance the capabilities of the AI tools.

What you get

A powerful MCP (Model Context Protocol) server implementation that leverages Gemini's capabilities for context management and caching. This server maximizes the value of Gemini's 2M token context window while providing tools for efficient caching of large contexts.

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

What the assistant can call

Once Gemini Context is connected, these are the calls the assistant has available:

• generate_text — Generate text with context
• get_context — Get current context for a session
• clear_context — Clear session context
• add_context — Add specific context entries
• search_context — Find relevant context semantically
• mcp_gemini_context_create_cache — Create a cache for large contexts
• mcp_gemini_context_generate_with_cache — Generate with cached context
• mcp_gemini_context_list_caches — List all available caches
• mcp_gemini_context_update_cache_ttl — Update cache TTL
• mcp_gemini_context_delete_cache — Delete a cache
• Prerequisites — The Prerequisites tool exposed by this server
• Installation — The Installation tool exposed by this server

Configuration and credentials

You will need one environment variable: GEMINI_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

• Node.js 18+ installed - Gemini API key (Get one here)

Before you rely on it

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• With 12 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Gemini Context.
• Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the gemini context mcp server does with a few real requests.

Choosing this one

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Gemini Context's toolset — generate_text, get_context, clear_context and 9 more — is a fair guide to whether it matches your workflow. It is maintained by ogoldberg; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.