OpenRouter向けに構築された30個のMCPを発見。
Provides an API router for managing and interacting with MCP (Metaverse Content Protocol) Servers.
Orchestrates research using Claude and Perplexity/GPT/Gemini models via OpenRouter.
Demonstrates Model Context Protocol (MCP) integration with Pokemon data through a client, server, and HTTP interface.
Enables users to interact with various Large Language Models (LLMs) through a single chat client.
Integrate OpenRouter's vast collection of AI models directly into Claude Code through a local server.
Automates task planning, breakdown, and code review using LLMs within AI code editors like Cursor, offering unlimited context and customizability.
Provides chat and image analysis capabilities by leveraging OpenRouter.ai's model ecosystem.
Orchestrates multiple AI models like Claude, Gemini, and OpenRouter to significantly reduce costs while enhancing quality for CLI-driven software development.
Analyzes images using OpenRouter vision models, providing descriptions and enabling AI assistants to understand visual content.
Extends MCP-compatible command-line interfaces with advanced AI image generation, editing, and restoration capabilities.
Analyzes images using OpenRouter vision models like Claude-3.5-sonnet and Claude-3-opus through a simple interface.
Assemble a council of AI experts to review code from diverse perspectives using multiple AI models.
Provides AI-powered code reviews using OpenRouter's LLM models via the Model Context Protocol.
Generates natural, fluent Chinese content using advanced language models, capable of internet searches and direct file saving.
Empowers AI agents with advanced image analysis capabilities using OpenRouter's vision models to interpret visual content from screenshots, UI designs, and documents.
Combines DeepSeek R1's reasoning with Claude 3.5 Sonnet's response generation through OpenRouter.
Provides an AI Pair Programmer server offering various AI-powered tools for code development and analysis.
Manages conversations with language models through a standardized Model Context Protocol (MCP) interface.
Optimizes prompts for large language models using state-of-the-art frameworks like CO-STAR and Chain-of-Thought critique via OpenRouter.
Enables AI agents to consult with multiple AI models through OpenRouter, featuring intelligent model auto-selection, conversation history, and caching.
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