gemini-webapi-mcp: MCP server for Google Gemini — free image generation, editing & chat via browser cookies. No API keys needed

by AndyShaman · MCP Server · ★ 55

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install gemini-webapi-mcp

git clone https://github.com/AndyShaman/gemini-webapi-mcp.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiclaudeclaude-codegeminigemini-apigenerative-aigoogle-geminiimage-generationllmmcp

Quick Facts

Stars55
Forks26
LanguagePython
CategoryMCP Server
LicenseAGPL-3.0
Quality Score66/100
Open Issues1
Last Updated2026-09-21
Created2026-02-15
Platformsbrowser, claude-code, gemini, mcp, python
Est. Tokens~18k

About gemini-webapi-mcp

gemini-webapi-mcp MCP-сервер для Google Gemini — генерация и редактирование изображений, чат и анализ файлов через браузерные cookies. Без API-ключей. Бесплатно.   Возможности Генерация изображений по текстовому описанию (Nano Banana 2 с поддержкой пропорций) 2x разрешение — автоматически скачивает upscaled-версию (2048x2048 → 2816x1536 и выше) Редактирование изобр

Compatible Skills

These tools work well together with gemini-webapi-mcp for enhanced workflows:

  • gemini-ai-toolkit — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • bria-skill — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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