"Aufgaben von Claude zu Gemini zuweisen, um Token zu sparen" matching MCP servers:

An MCP server that provides access to Google Gemini models via Vertex AI, enabling text generation, multi-turn chat, image/video generation, and frontend design through Claude Code.

A lightweight server that connects Claude Code with Google's Gemini AI models, allowing developers to leverage Gemini's massive context window (1M+ tokens) for code analysis without leaving their coding environment.

Enables seamless real-time collaboration between Claude Code and the Gemini CLI for discussing ideas and refining solutions. It provides tools to initiate collaborative sessions, consult Gemini with context preservation, and access conversation history.

MCP server for real-time Solana token risk analysis. Cross-references RugCheck.xyz, DexScreener, and GoPlus Security to generate three-layer reports: machine verdict → LLM analysis → raw on-chain evidence. Live on Solana mainnet with USDC micropayments ($0.02/audit). Give any AI agent the ability to check if a token is safe before trading.

Enables semantic prompt compression for LLM workflows, reducing token usage by 30-70% while preserving semantic meaning.

Bridges Claude Code and Google's Gemini AI models to enable AI-to-AI collaboration for code reviews, brainstorming, and direct questions.

A local MCP proxy that strips web pages to clean text, reducing token usage for AI agents by up to 99.6%.

An MCP server that reduces token usage by injecting graph-ranked repo maps, decision logs, and diff-only output into AI coding tool requests.

A lightweight MCP server bridging AI agents to Google's Gemini AI via official CLI

Enables image generation and transformation using Gemini API, returning file paths instead of base64 data to avoid token limit issues in Claude Code.

A fully offline MCP server for token estimation, prompt compression, model routing, and semantic caching to optimize LLM usage costs and efficiency.

Enables coding agents to retrieve token-budgeted, source-hashed code context from explicitly registered local repositories via read-only MCP tools, reducing broad repository crawling while providing structure, symbols, and impact slices.

An MCP server that provides structural codebase indexing and surgical query tools to drastically reduce token usage through symbol-level searches and transitive impact analysis. It supports multiple languages and integrates with git to help AI agents understand code dependencies and the impact of changes in sub-millisecond time.

Connects Claude Code with Google's Gemini AI, allowing users to ask Gemini questions, get code reviews, and brainstorm ideas directly within Claude Code.

An autonomous AI development agent that enables full-stack coding, automated verification, RAG-powered code search, and quality assurance through MCP tools. Supports Gemini CLI, Claude Code CLI, with features like parallel verification, security scanning, and spec-driven development.

Enables Claude Code to generate and edit images using Google's Gemini and Imagen models on Vertex AI, with support for multiple models, aspect ratios, and image fusion.

FastMCP server for Google's gemini-omni-flash-preview video model, enabling text-to-video, image-to-video, and video editing with stateful interactions and batch generation.

MCP server for Google Gemini that enables image generation, editing, file analysis, and chat using browser cookies, no API key needed.

MCP server for web search powered by Google AI Mode (Gemini). Enables any AI agent to search the web in real-time for free and without rate limits.

Persistent project context for Google Gemini. 12 MCP tools for .faf Project DNA — auto-detect your stack, validate, score, and sync across CLAUDE.md, GEMINI.md, and AGENTS.md. Python/FastMCP. IANA-registered format (application/vnd.faf+yaml). 183 tests. One file, every AI platform.