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

High-performance Model Context Protocol (MCP) server connecting Claude Code and AI agents to Google Gemini 3.8 Flash, Gemini 3.1 Pro, reasoning effort, and image generation.

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.

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.

Enables search, analytics, and visualization of Claude Code sessions with MCP tools for session management, recovery, and insights.

A TypeScript MCP server that enables agents to request focused, one-shot consultations with allowlisted Gemini models, with guaranteed model provenance and no silent model changes.

Enables real-time cross-machine communication for Claude Code agents using a shared MCP relay server.

Manages token budgets for AI agents, enabling tracking and enforcement of usage limits with built-in EU AI Act compliance.

Enables searching and retrieving Claude Code conversation history via hybrid semantic and keyword search, allowing the agent to access its own past interactions.

Enables interaction with Google Gemini AI models through MCP protocol. Provides text generation capabilities with configurable model selection and temperature settings.

Enables chatting with Google Gemini AI models and custom Gems, supporting text and image generation with automatic cookie synchronization via Chrome extension.

An MCP server that enables any AI agent to call Claude using your existing Max/Pro subscription via OAuth, avoiding additional API billing.

.FAF (Foundational AI-context Format) with 50+ tools - Only Persistent project context that integrates seamlessly with Claude Desktop workflows. Officially merged (#2759) Anthropic MCP server.

An MCP server that exposes Gemini's Deep Research Agent for comprehensive web research.

An MCP server that gives orchestrator agents fine-grained control over interactive Claude Code sessions running inside tmux, enabling mid-session steering, interruption, and token-efficient result extraction.

Add OpenAI (Codex) models to Claude code

Post-hoc session handoff and project memory for Claude Code: MCP tools list_sessions and handoff turn any session — even crashed or usage-limit-hit ones — into a clean handoff.md another model can continue from, with secrets redacted from every output. Zero dependencies, fully local; also distills a project's entire session history into one cited memory brief.

Relays messages between two Claude Code sessions running on separate machines, using the Channels API to push an incoming message directly into the other session so one session can ask another about its own checkout. Each message carries an id and is tracked as sent, delivered-to-process, or answered, with a per-message reply budget.

A lightweight Claude MCP gateway that dynamically loads tools only when needed, cutting MCP token clutter by up to 95% and keeping your context lean, fast, and focused.

Enables high-throughput API rate limiting with deterministic token bucket throttling and burst quota management for AI agents.

Enterprise-grade MCP server for persistent, intelligent memory management across Claude Code sessions.