"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.

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

Enables Claude Code to call Gemini models through an OpenAI-compatible API, providing tools for deep analysis, brainstorming, code review, and general queries using Gemini's capabilities.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

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.

A private MCP server that lets Claude generate images using Google Gemini/Imagen, exposing a generate_image tool.

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

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

The Token Metrics Model Context Protocol (MCP) server provides comprehensive cryptocurrency data, analytics, and insights through function calling. This server enables AI assistants and agents to access Token Metrics' powerful API for real-time crypto market data, trading signals, price predictions, and advanced analytics.

A Model Context Protocol (MCP) server for integrating Google's Gemini 3 models with Claude Code, enabling powerful collaboration between both AI systems.

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

Enables image processing and analysis using Google's Gemini 2.5 Flash model. Supports local files, URLs, and Base64 images with streaming responses and automatic output saving.

An MCP server for checking and revoking ERC-20 token allowances across multiple blockchains.

Enables real-time cryptocurrency price lookups for 10,000+ tokens, returning 24h change, market cap, and volume via CoinGecko with x402 micropayment-based pay-per-call access.

A lightweight MCP server that exposes Google Gemini as tools for Claude Code, enabling question answering, code analysis, multi-turn chat, and model listing.

Token safety oracle for AI agents. Honeypot detection, 17 scam pattern checks, LP lock verification across 6 EVM chains. Score 0-100 with risk flags. ERC Token Safety Score standard.

A remote MCP connector deployed as a Cloudflare Worker that gives Claude access to Google Gemini models, enabling image generation/editing, model auditing, and large context digesting.

Minimal MCP server that provides access to Google's Gemini API with Google Search grounding for up-to-date information through a single ask_gemini tool.

Enables interaction with Google's Gemini AI models including file uploads, conversation management, and batch API processing for large-scale tasks at reduced costs. Supports multiple Gemini models with advanced features like embeddings generation and automated workflow processing.

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.