search-webdeveloper-tools

Nexus (OpenRouter Search)

by adawalli

Experience AI-powered search with Nexus using OpenRouter—intelligent results and source citations, similar to Bing by Mi

Provides web search capabilities through OpenRouter's Perplexity Sonar models, delivering intelligent search results with source citations for current information retrieval.

github stars

19

Zero-install via bunx/npxMultiple AI model optionsProduction-ready with caching

best for

  • / Researchers needing current information with sources
  • / Developers building AI applications with search
  • / Anyone using Claude Desktop who needs web search

capabilities

  • / Search the web with AI-powered queries
  • / Get source citations with search results
  • / Access real-time information through Perplexity Sonar
  • / Query training data knowledge via Grok models
  • / Cache and deduplicate search requests

what it does

Provides AI-powered web search through OpenRouter's Perplexity models, delivering search results with source citations directly in MCP-compatible clients like Claude Desktop.

about

Nexus (OpenRouter Search) is a community-built MCP server published by adawalli that provides AI assistants with tools and capabilities via the Model Context Protocol. Experience AI-powered search with Nexus using OpenRouter—intelligent results and source citations, similar to Bing by Mi It is categorized under search web, developer tools.

how to install

You can install Nexus (OpenRouter Search) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Nexus (OpenRouter Search) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

# 🔍 Nexus MCP Server **AI integration without the complexity** [![npm version](https://img.shields.io/npm/v/nexus-mcp.svg)](https://www.npmjs.com/package/nexus-mcp) ![NPM Downloads](https://img.shields.io/npm/dt/nexus-mcp?style=flat-square&logo=npm&label=downloads) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![TypeScript](https://img.shields.io/badge/TypeScript-Ready-blue.svg)](https://www.typescriptlang.org/) [![MCP Compatible](https://img.shields.io/badge/MCP-Compatible-green.svg)](https://modelcontextprotocol.io/) [![CodeRabbit Pull Request Reviews](https://img.shields.io/coderabbit/prs/github/adawalli/nexus)](https://coderabbit.ai) [![Trust Score](https://archestra.ai/mcp-catalog/api/badge/quality/adawalli/nexus)](https://archestra.ai/mcp-catalog/adawalli__nexus) _Intelligent AI model search and discovery with zero-install simplicity_ [Quick Start](#-quick-start) • [Features](#-features) • [Documentation](#-documentation) • [Contributing](#-contributing)
--- ## What is Nexus? Nexus is a **Model Context Protocol (MCP) server** that provides AI-powered search functionality through the OpenRouter API. It integrates with MCP-compatible clients including Claude Desktop and Cursor, providing search capabilities via multiple model families including Perplexity Sonar (real-time web search) and Grok 4 (training-data knowledge). ### Key Characteristics - **Zero-install deployment**: Executable via `bunx` (or `npx`) with no build requirements - **OpenRouter integration**: Multiple AI models including Perplexity Sonar (web search) and Grok 4 (training data) - **MCP protocol compliance**: Implements standard MCP tool and resource interfaces - **Production architecture**: Includes request caching, deduplication, retry logic, and error handling - **Type-safe implementation**: Full TypeScript coverage with strict type checking ## Features ### Deployment - Bunx/NPX-based execution with zero local installation - Cross-platform compatibility (macOS, Linux, Windows) - Bun 1.0+ or Node.js 18+ runtime requirement - Automated version updates via npm registry ### Search Capabilities - **Multiple model tiers** with different capabilities: - `sonar` - Fast Q&A, real-time web search (30s timeout, standard tier) - `sonar-pro` - Multi-step queries, real-time web search (60s timeout, premium tier) - `sonar-reasoning-pro` - Chain-of-thought reasoning, real-time web search (120s timeout, premium tier) - `sonar-deep-research` - Exhaustive research reports, real-time web search (300s timeout, premium tier) - `grok-4` - Training-data knowledge, no real-time search (60s timeout, premium tier) - Real-time web search with current information (Perplexity models) - Training-data knowledge responses (Grok 4) - Structured citation extraction from responses - Configurable model parameters (temperature, max tokens, timeout override) ### Architecture - Comprehensive error handling with typed error classes - Request caching with configurable TTL - Request deduplication for concurrent identical queries - Automatic retry logic with exponential backoff - Winston-based structured logging - TypeScript strict mode implementation with full type coverage ## Quick Start ### Prerequisites - [Bun](https://bun.sh) 1.0+ (recommended) or Node.js 18+ - OpenRouter API key ([register at openrouter.ai](https://openrouter.ai)) ### Quick Install Execute the server without local installation: ```bash # Set your OpenRouter API key export OPENROUTER_API_KEY=your-api-key-here # Run the server via bunx (recommended) bunx nexus-mcp # Or via npx npx nexus-mcp ``` The server starts and listens for MCP client connections via STDIO transport. ### Testing the Installation ```bash # Test the CLI help bunx nexus-mcp --help # Test the version bunx nexus-mcp --version # Run with your API key OPENROUTER_API_KEY=your-key bunx nexus-mcp ``` ## Alternative: Local Development Installation For local development or customization: 1. Clone the repository: ```bash git clone https://github.com/adawalli/nexus.git cd nexus ``` 2. Install dependencies: ```bash bun install ``` 3. Build the server: ```bash bun run build ``` 4. Configure your OpenRouter API key: ```bash # Copy the example environment file cp .env.example .env # Edit .env and add your actual API key # OPENROUTER_API_KEY=your-api-key-here ``` 5. Test the server: ```bash bun run start ``` ## Integration with MCP Clients ### Bunx-Based Integration (Recommended) Configure MCP clients to execute the server via bunx: ### Claude Code Configuration in `~/.claude/mcp_settings.json`: ```json { "mcpServers": { "nexus": { "command": "bunx", "args": ["nexus-mcp"], "env": { "OPENROUTER_API_KEY": "your-api-key-here" } } } } ``` Restart Claude Code after configuration changes. ### Cursor Add server configuration in Cursor's MCP settings: - **Name**: `nexus` - **Command**: `bunx` - **Args**: `["nexus-mcp"]` - **Environment Variables**: `OPENROUTER_API_KEY=your-api-key-here` Restart Cursor after configuration changes. ### Generic MCP Client Configuration Standard MCP client connection parameters: - **Transport**: stdio - **Command**: `bunx` - **Args**: `["nexus-mcp"]` - **Environment**: `OPENROUTER_API_KEY=your-api-key-here` ### Alternative: npx or Local Installation If you don't have Bun installed, use `npx` in place of `bunx` in any of the configurations above. For a local installation (after following the local development setup): ```json { "mcpServers": { "nexus": { "command": "bun", "args": ["run", "/path/to/nexus-mcp/dist/cli.js"], "env": { "OPENROUTER_API_KEY": "your-api-key-here" } } } } ``` ## Usage Once integrated, you can use the search tool in your MCP client: ### Basic Search ``` Use the search tool to find information about "latest developments in AI" ``` ### Advanced Search with Parameters ``` Search for "climate change solutions" using: - Model: sonar-pro - Max tokens: 2000 - Temperature: 0.3 ``` ### Using Different Models ``` # Fast Q&A with real-time web search (default) Search for "latest news" with model: sonar # Deep research with comprehensive analysis Search for "AI safety research" with model: sonar-deep-research # Knowledge from training data (no web search) Search for "explain quantum computing" with model: grok-4 ``` ## Available Tools ### `search` The main search tool that provides AI-powered search capabilities. **Parameters:** - `query` (required): Search query (1-2000 characters) - `model` (optional): Model to use (default: `sonar`) - `sonar` - Fast Q&A with real-time web search (30s timeout) - `sonar-pro` - Multi-step queries with real-time web search (60s timeout, premium) - `sonar-reasoning-pro` - Chain-of-thought reasoning with real-time web search (120s timeout, premium) - `sonar-deep-research` - Exhaustive research reports with real-time web search (300s timeout, premium) - `grok-4` - Training-data knowledge, no real-time search (60s timeout, premium) - `maxTokens` (optional): Maximum response tokens (1-4000, default: 1000) - `temperature` (optional): Response randomness (0-2, default: 0.3) - `timeout` (optional): Override default timeout in milliseconds (5000-600000) **Example Response (Perplexity model):** ``` Based on current information, here are the latest developments in AI... [Detailed AI-generated response with current information] --- **Search Metadata:** - Model: perplexity/sonar - Response time: 1250ms - Tokens used: 850 - Timeout: 30000ms - Search type: realtime - Sources: 5 found ``` **Example Response (Grok 4 model):** ``` Quantum computing is a type of computation that harnesses quantum mechanics... [Response based on training data knowledge] --- **Search Metadata:** - Model: x-ai/grok-4 - Response time: 3500ms - Tokens used: 650 - Timeout: 60000ms - Search type: training-data - Cost tier: premium ``` ## Configuration ### Environment Variables - `OPENROUTER_API_KEY` (required): Your OpenRouter API key - `NODE_ENV` (optional): Environment setting (development, production, test) - `LOG_LEVEL` (optional): Logging level (debug, info, warn, error) ### Advanced Configuration The server supports additional configuration through environment variables: - `OPENROUTER_TIMEOUT_MS`: Request timeout in milliseconds (default: 30000) - `OPENROUTER_MAX_RETRIES`: Maximum retry attempts (default: 3) - `OPENROUTER_BASE_URL`: Custom OpenRouter API base URL ## Resources The server provides a configuration status resource at `config://status` that shows: - Server health status - Configuration information (with masked API key) - Search tool availability - Server uptime and version ## Troubleshooting ### Bunx/NPX-Specific Issues **"bunx: command not found"** - Install Bun: `curl -fsSL https://bun.sh/install | bash` - Or fall back to npx if you have Node.js 18+ installed **"npx: command not found"** - Ensure Node.js 18+ is installed: `node --version` - Update npm: `npm install -g npm@latest` **"Cannot find package 'nexus-mcp'"** - The package may not be published yet. Use local installation instead - Verify network connectivity for npm registry access **Slow startup on first run** - This is normal on first run as the package is downloaded - Subsequent runs will be faster due to caching - For faster startup, use local installation instead **"Permission denied" errors with npx** - Try: `npx --yes nexus-mcp --stdio` - Or set npm permissions: `npm config set user 0 && npm config set unsafe-perm true` ### Common Issues **"Search functionality is not available"** - Ensure `OPENROUTER_API_KEY` environment variable is set - Verify your API key is valid at [OpenRouter](https://openrouter.ai) - Check the server logs for initialization errors **"Authentication failed: Invalid API key"** ---

FAQ

What is the Nexus (OpenRouter Search) MCP server?
Nexus (OpenRouter Search) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Nexus (OpenRouter Search)?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Nexus (OpenRouter Search) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Nexus (OpenRouter Search) against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Nexus (OpenRouter Search) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Nexus (OpenRouter Search) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Nexus (OpenRouter Search) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Nexus (OpenRouter Search) surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Nexus (OpenRouter Search) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Nexus (OpenRouter Search) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Nexus (OpenRouter Search) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Nexus (OpenRouter Search) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.