openrouter-deep-research-mcp
OpenRouter Agents MCP Server is designed to enhance research capabilities through a sophisticated implementation of the Model Context Protocol (MCP). It utilizes various AI models to conduct comprehensive research tasks, distributing workload efficiently, and ensuring adaptability and resilience in results. Integrating easily with tools like VS Code and Claude Desktop App, it offers detailed customization options for research tasks and persistence strategies.
OpenRouter Agents MCP Server
A Model Context Protocol (MCP) server implementation for OpenRouter that enables sophisticated research capabilities by orchestrating various agents. It enhances AI-powered research with multi-agent orchestration, vector embedding databases, and adaptive fallback systems. The server integrates with Cline in VS Code and Claude Desktop App and supports both STDIO and HTTP/SSE transports. Features include in-memory caching, dynamic caching, and cross-model resilience. Recent enhancements improve error handling, caching optimization, and user feedback. The system supports multiple OpenRouter models for both high-cost and low-cost research needs.