Argus MCP Server

@Khamel83

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Khamel83

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Khamel83

关于 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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Argus MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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.

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