Perplexity Advanced MCP is an advanced integration package that provides enhanced query processing capabilities through OpenRouter and Perplexity API, supporting simple and complex queries, and optimizing cost and performance.

Deep-Co is a cross-platform chat client developed based on Compose Multiplatform. It supports multiple LLM API providers, including OpenRouter, Anthropic, Grok, OpenAI, etc., and is compatible with OpenAI API and local models. It has functions such as chat record management, prompt management, role adaptation, TTS, etc., and supports multiple languages and theme customization.

This project implements an MCP protocol server that provides a web search tool based on OpenRouter and can generate concise and real - time answers.

A customized version of NextChat that creates and deploys MCP servers through chat interactions, integrates LLM models from OpenRouter, and provides functions such as tool extraction, one-click deployment, and AI system integration guides.

The OpenRouter Agents MCP Server is a research agent server based on the Model Context Protocol (MCP). It uses Claude 3.7 Sonnet as the planning agent to coordinate multiple OpenRouter models to decompose and execute complex research tasks, providing efficient and reliable AI research services.

This is an MCP server project based on the OpenRouter API, providing network search functionality and using a specific Gemini model to return raw text results.

MCP OpenVision is an image analysis server based on OpenRouter's vision models, providing image analysis capabilities for AI assistants.

A Ruby-based AI pair programming MCP server that provides AI-assisted programming functions such as code review, brainstorming, performance analysis, and security check through OpenRouter.

A multi - functional document processing MCP server that supports scraping, processing, and intelligently retrieving third - party software package documentation from multiple sources, integrates the OpenRouter multi - model API, and provides hybrid search capabilities.

This is a Python project based on the SSE implementation of the MCP protocol, including server and client components. It invokes LLM services through the OpenRouter.ai platform and provides book search functionality.

A demonstration project showcasing the combination of the Model Context Protocol (MCP) with Pokemon data, including an MCP server, a client, and an HTTP server that allows LLMs to call Pokemon tools via OpenRouter.

AI Expert Workflow MCP is a model context protocol server based on the OpenRouter API. Through three AI expert roles of product manager, UX designer, and software architect, it provides a complete workflow solution from product planning to technical implementation. The project supports independent generation of PRD documents and can also be integrated with Task Master for task management.

The OpenRouter MCP Multimodal Server is a protocol server that provides text chat and image analysis functions through OpenRouter.ai, supporting multiple model selections and performance optimization.

An MCP image analysis server based on OpenRouter visual models

A deep reasoning server based on the MCP protocol, providing AI deep reasoning services for clients

An automated code documentation generation tool based on the OpenRouter API that automatically generates documentation, test plans, and code review reports by analyzing the directory structure and file content of the code library.

An automated code documentation generation tool based on the OpenRouter API that intelligently generates documentation, test plans, and code review reports by analyzing the codebase structure and content.

The OpenRouter MCP Server provides seamless integration with the OpenRouter.ai model ecosystem, supporting access to multiple AI models and performance optimization.

The OpenRouter Image MCP Server provides powerful image analysis capabilities for AI agents, supports multiple visual models, and can analyze visual content such as photos, web page screenshots, and mobile application interfaces

An AI consulting MCP server based on OpenRouter, supporting multi - model automatic selection and conversation management

MCP Router is a Python toolkit for managing MCP servers and interacting with OpenRouter AI models, supporting multi-step workflow orchestration and intelligent task analysis.

Second Opinion MCP is a multi - AI model consulting platform that allows users to instantly obtain second opinions from different AI models such as OpenAI, Gemini, Grok, Claude, HuggingFace, DeepSeek, and OpenRouter in Claude conversations, supporting functions such as code comparison, creative writing, problem - solving, and cross - model analysis.

OpenRouter language model conversation management server based on the MCP protocol

A GitHub code review server based on the Model Context Protocol that provides automated code review services for Pull Requests by integrating OpenRouter's AI models.

A server implementing the MCP protocol that connects Cursor via the OpenRouter API, providing code review and AI chat functions, supporting multi-language project analysis and context processing.