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Nexus MCP Server

MCP Server

Zero‑install AI web search via OpenRouter

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Updated 14 days ago

About

Nexus is a Model Context Protocol server that delivers AI-powered web search using the OpenRouter API and Perplexity Sonar models. It offers a simple, npx‑based deployment with caching, deduplication, and structured citations for MCP clients like Claude Desktop and Cursor.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

Nexus is a Model Context Protocol (MCP) server that transforms web search into a seamless, AI‑powered experience for developers and end users. By harnessing the Perplexity Sonar model family via OpenRouter, it delivers real‑time search results directly to MCP clients such as Claude Desktop or Cursor. The server abstracts the intricacies of web crawling, ranking, and citation extraction, presenting a clean tool interface that can be invoked with a single prompt or command.

The core problem Nexus solves is the friction of integrating up‑to‑date information into AI workflows. Many large language models are trained on static datasets and lack the ability to fetch fresh data at runtime. Nexus bridges this gap by acting as an intermediary that queries the web, processes results through a state‑of‑the‑art search model, and returns structured responses enriched with citations. This enables developers to build applications where the assistant can answer questions about recent events, verify facts, or pull in niche domain knowledge without compromising on latency.

Key features of Nexus include zero‑install deployment through , which eliminates the need for local builds or dependency management. It offers request caching with configurable TTLs, ensuring repeated queries are served quickly while keeping the search engine load low. The server also implements deduplication for concurrent identical requests, reducing redundant calls to the OpenRouter API. Robust error handling and exponential backoff retry logic provide resilience against transient network issues, while structured Winston logs give visibility into operation metrics.

In practice, Nexus shines in scenarios such as: a customer support chatbot that needs to reference the latest product documentation; an educational tool that pulls current research findings; or a data‑driven recommendation engine that queries recent reviews. By exposing its capabilities via the MCP protocol, developers can compose complex workflows—combining search with other tools like database queries or image generation—in a declarative, composable manner. The server’s TypeScript foundation and strict type safety further lower the barrier to integration, ensuring that tool definitions are reliable and maintainable.

Unique advantages of Nexus lie in its simplicity—a single command launches a fully‑featured search service—and its tight coupling with the Perplexity Sonar models, which provide high‑quality, citation‑rich responses out of the box. This combination of performance, ease of use, and protocol compliance makes Nexus an attractive choice for any project that requires up‑to‑date knowledge within an AI assistant.