io.github.qmediat/gemini-code-context-mcp

Gemini 2M context cache for Claude Code — persistent; repeat queries ~8x faster, ~4x cheaper.

0 tools GitHub

No known CVEs

No license

Actively maintained

Last commit 0d ago

Untested

Transport: stdio

0 tools

Grade F

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Untested on Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-qmediat-gemini-code-context-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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What io.github.qmediat/gemini-code-context-mcp does

Gemini 2M context cache for Claude Code — persistent; repeat queries ~8x faster, ~4x cheaper.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Score breakdown

27/100across 5 weighted dimensions

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−73

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Security

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No known CVEs.

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Frequently Asked Questions

Is io.github.qmediat/gemini-code-context-mcp safe to use?: io.github.qmediat/gemini-code-context-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.qmediat/gemini-code-context-mcp?: io.github.qmediat/gemini-code-context-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.qmediat/gemini-code-context-mcp?: io.github.qmediat/gemini-code-context-mcp is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.
Is io.github.qmediat/gemini-code-context-mcp actively maintained?: io.github.qmediat/gemini-code-context-mcp is actively maintained — last commit was 0 days ago.

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Why this server?

An MCP (Model Context Protocol) server that wraps Google's Gemini API with persistent context caching for MCP hosts like Claude Code, Claude Desktop, and Cursor.

	jamubc/gemini-mcp-tool	`@qmediat.io/gemini-code-context-mcp`
Maintenance	Unmaintained on npm since 2025-07 (v1.1.4); last commit on `main` 2025-07-23; no maintainer reply on 2026 issues (#49/#62/#64 at time of writing)	Actively maintained
Default model	Hardcoded `gemini-2.5-pro` (main) — no runtime override	Dynamic `latest-pro` alias — resolves against your API key tier at startup
Backend	Shells out to `gemini` CLI (subprocess per call)	Direct `@google/genai` SDK
Repeat queries	No caching layer — each call re-tokenises referenced files	Files API + Context Cache — repeat queries reuse the indexed codebase; cached input tokens billed at ~25 % of the uncached rate
Coding delegation	Prompt-injection `changeMode` (OLD/NEW format in system text)	Native `thinkingConfig` + optional `codeExecution`
Auth	Inherits `gemini` CLI auth (browser OAuth via `gemini auth login`, or env var)	3-tier: Vertex ADC / credentials file (chmod 0600 atomic write) / env var (+ warning)
Cost control	—	Daily budget cap in USD (`GEMINI_DAILY_BUDGET_USD`)
Dead deps	5 unused packages (`ai`, `chalk`, `d3-shape`, `inquirer`, `prismjs`)	Zero dead deps

jamubc/gemini-mcp-tool

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

Maintenance

Unmaintained on npm since 2025-07 (v1.1.4); last commit on main 2025-07-23; no maintainer reply on 2026 issues (#49/#62/#64 at time of writing)

Actively maintained

Default model

Hardcoded gemini-2.5-pro (main) — no runtime override

Dynamic latest-pro alias — resolves against your API key tier at startup

Backend

Shells out to gemini CLI (subprocess per call)

Direct @google/genai SDK

Repeat queries

No caching layer — each call re-tokenises referenced files

Files API + Context Cache — repeat queries reuse the indexed codebase; cached input tokens billed at ~25 % of the uncached rate

Coding delegation

Prompt-injection changeMode (OLD/NEW format in system text)

Native thinkingConfig + optional codeExecution

Auth

Inherits gemini CLI auth (browser OAuth via gemini auth login, or env var)

3-tier: Vertex ADC / credentials file (chmod 0600 atomic write) / env var (+ warning)

Cost control

—

Daily budget cap in USD (GEMINI_DAILY_BUDGET_USD)

Dead deps

5 unused packages (ai, chalk, d3-shape, inquirer, prismjs)

Zero dead deps

Comparison points reference jamubc/gemini-mcp-tool as seen on its GitHub main branch (most current snapshot, last commit 2025-07-23). The published npm v1.1.4 is ~9 months older and differs in a few specifics — default model is gemini-3.1-pro-preview there instead of gemini-2.5-pro, and only 3 of the 5 deps are dead in that tarball (chalk and inquirer still imported). The structural claims (hardcoded model, no caching, gemini CLI backend, unreleased improvements stuck behind an abandoned npm registry entry) hold for both.

Quick start

# 1. Secure credential setup (your key never touches ~/.claude.json) npx @qmediat.io/gemini-code-context-mcp init # 2. Paste this into ~/.claude.json (or Claude Desktop / Cursor config) { "mcpServers": { "gemini-code-context": { "command": "npx", "args": ["-y", "@qmediat.io/gemini-code-context-mcp"], "env": { "GEMINI_CREDENTIALS_PROFILE": "default" } } } } # 3. Restart your MCP host. Ask Claude: # > Use gemini-code-context.ask to summarize this codebase

First query: ~45 s – 2 min depending on workspace size (scan + Files API upload + cache build). Every follow-up (cache hit): ~13–16 s on latest-pro-thinking with thinkingLevel: LOW, faster on latest-flash. Measured on vitejs/vite@main's packages/vite/ (~670 k tokens, 451 files): cold 125 s, warm ~14 s, $0.60 cached vs $2.35 inline per query (~8× faster, ~4× cheaper on cache hit). Thinking budget dominates warm latency — HIGH thinking adds 15–45 s per call on top of the cache-hit floor. Raw ledger reproducible via the status tool.

Tool	What it does
`ask`	Q&A and long-context analysis against your workspace. Eager — uploads the whole repo to G

Tool

What it does

ask

Q&A and long-context analysis against your workspace. Eager — uploads the whole repo to G

Frequently Asked Questions

Is io.github.qmediat/gemini-code-context-mcp safe to use?

io.github.qmediat/gemini-code-context-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.qmediat/gemini-code-context-mcp?

io.github.qmediat/gemini-code-context-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with io.github.qmediat/gemini-code-context-mcp?

io.github.qmediat/gemini-code-context-mcp is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

Is io.github.qmediat/gemini-code-context-mcp actively maintained?

io.github.qmediat/gemini-code-context-mcp is actively maintained — last commit was 0 days ago.

Why this server?

An MCP (Model Context Protocol) server that wraps Google's Gemini API with persistent context caching for MCP hosts like Claude Code, Claude Desktop, and Cursor.

	jamubc/gemini-mcp-tool	`@qmediat.io/gemini-code-context-mcp`
Maintenance	Unmaintained on npm since 2025-07 (v1.1.4); last commit on `main` 2025-07-23; no maintainer reply on 2026 issues (#49/#62/#64 at time of writing)	Actively maintained
Default model	Hardcoded `gemini-2.5-pro` (main) — no runtime override	Dynamic `latest-pro` alias — resolves against your API key tier at startup
Backend	Shells out to `gemini` CLI (subprocess per call)	Direct `@google/genai` SDK
Repeat queries	No caching layer — each call re-tokenises referenced files	Files API + Context Cache — repeat queries reuse the indexed codebase; cached input tokens billed at ~25 % of the uncached rate
Coding delegation	Prompt-injection `changeMode` (OLD/NEW format in system text)	Native `thinkingConfig` + optional `codeExecution`
Auth	Inherits `gemini` CLI auth (browser OAuth via `gemini auth login`, or env var)	3-tier: Vertex ADC / credentials file (chmod 0600 atomic write) / env var (+ warning)
Cost control	—	Daily budget cap in USD (`GEMINI_DAILY_BUDGET_USD`)
Dead deps	5 unused packages (`ai`, `chalk`, `d3-shape`, `inquirer`, `prismjs`)	Zero dead deps

jamubc/gemini-mcp-tool

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

Maintenance

Unmaintained on npm since 2025-07 (v1.1.4); last commit on main 2025-07-23; no maintainer reply on 2026 issues (#49/#62/#64 at time of writing)

Actively maintained

Default model

Hardcoded gemini-2.5-pro (main) — no runtime override

Dynamic latest-pro alias — resolves against your API key tier at startup

Backend

Shells out to gemini CLI (subprocess per call)

Direct @google/genai SDK

Repeat queries

No caching layer — each call re-tokenises referenced files

Files API + Context Cache — repeat queries reuse the indexed codebase; cached input tokens billed at ~25 % of the uncached rate

Coding delegation

Prompt-injection changeMode (OLD/NEW format in system text)

Native thinkingConfig + optional codeExecution

Auth

Inherits gemini CLI auth (browser OAuth via gemini auth login, or env var)

3-tier: Vertex ADC / credentials file (chmod 0600 atomic write) / env var (+ warning)

Cost control

—

Daily budget cap in USD (GEMINI_DAILY_BUDGET_USD)

Dead deps

5 unused packages (ai, chalk, d3-shape, inquirer, prismjs)

Zero dead deps

Quick start

Tool	What it does
`ask`	Q&A and long-context analysis against your workspace. Eager — uploads the whole repo to G

Tool

What it does

ask

Q&A and long-context analysis against your workspace. Eager — uploads the whole repo to G

io.github.qmediat/gemini-code-context-mcp

Install in your client