Argus MCP Server

@Khamel83

Basic information

About Argus MCP Server

One endpoint, five search providers. Argus routes queries across SearXNG, Brave, Serper, Tavily, and Exa with automatic fallback, RRF result ranking, health tracking, and budget enforcement. Extract clean text from any URL. Remember prior queries for smarter follow-ups. Zero exte

#search #web-search #extraction #mcp #python

Argus MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "argus": {
      "command": "argus",
      "args": [
        "mcp",
        "serve"
      ]
    }
  }
}

Argus MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Argus?

Argus is a search aggregation server that routes queries across five search providers—SearXNG, Brave, Serper, Tavily, and Exa—with automatic fallback, RRF result ranking, health tracking, and budget enforcement. It also extracts clean text from any URL and remembers prior queries for smarter follow-ups. It uses SQLite as its only database and has no external dependencies. Argus is designed for developers and users who need resilient, multi-source search with cost control.

How to use Argus?

Connect to Argus via HTTP, CLI, MCP (Model Context Protocol), or Python import. The server exposes a single endpoint for all search operations.

Key features of Argus

One endpoint routing to five search providers
Automatic fallback between providers
RRF (Reciprocal Rank Fusion) result ranking
Health tracking for each provider
Budget enforcement per query or time period
Clean text extraction from any URL
Query memory for contextual follow-ups
Zero external database dependencies (SQLite only)

Use cases of Argus

Building a multi-provider search backend with graceful degradation
Enforcing cost limits on search API usage across teams
Aggregating and ranking results from multiple search engines
Extracting clean content from arbitrary URLs for analysis
Creating conversational search tools that remember prior queries

Frequently asked questions

Which search providers does Argus support?

Argus supports SearXNG, Brave, Serper, Tavily, and Exa, with automatic fallback between them.

What are Argus’s runtime dependencies?

Argus requires only SQLite as its database—no external database servers are needed.

How can I connect to Argus?

You can connect via HTTP, CLI, MCP (Model Context Protocol), or by importing it as a Python module.

Does Argus store my search queries?

Yes, Argus remembers prior queries in its SQLite database to enable smarter follow-ups. It does not require any external storage.

Comments

More Search MCP servers

VarynForge

VarynForge is an SEO research SaaS that exposes its full workflow as MCP tools. Connect once from Claude Desktop, Claude Code, Cursor, Codex or any MCP host, then ask your agent to set up a project, hand it your article

FlexQueries SEO MCP

CybrCoast LLC

Hosted SEO MCP server for Claude, ChatGPT, Cursor, and Codex. Keyword research, current and historical SERPs, rank tracking, backlinks, site audits, and AI visibility, plus free Google Search Console and GA4 reads. Pay p

Google Search MCP Server

HasData

Hosted Google Search / SERP MCP server from HasData, no Google Cloud project. Organic results, AI Overview, People Also Ask, AI Mode, news and shopping for Claude, Cursor and any MCP client.

Sorank

Thibault Besson-Magdelain

Sorank connects Google Search Console, PageSpeed Insights, and AI citability scoring to your assistant, so it can diagnose why a page underperforms and tell you exactly what to change. Sorank gives your AI assistant dir

Vivu

Search your video library with natural language and retrieve relevant moments through MCP.