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Khamel83/argus

by Various

Multi-provider web search broker for AI agents. 14 providers, budget-aware routing, content extraction — one API.

K

MCP

Khamel83/argus

Added 1 June 2026

#ai-agents #brave-search #cli #content-extraction #duckduckgo #fastapi #llm-tools #mcp

Overview

Argus is a multi-provider web search broker for AI agents. It provides a single API to query 14 search providers with budget-aware routing and content extraction. The tool is written in Python and is available as an open-source project.

Best for

Best for
Developers building AI agents that need flexible, multi-provider web search with cost management

Use cases

  • Integrating multiple web search providers into an AI agent pipeline
  • Routing search queries based on cost or provider availability
  • Extracting structured content from search results for downstream processing

Notes

Argus is a multi-provider web search broker for AI agents. It provides a single API to query 14 search providers with budget-aware routing and content extraction. The tool is written in Python and is available as an open-source project.

2 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

  • Integrating multiple web search providers into an AI agent pipeline
  • Routing search queries based on cost or provider availability
  • Extracting structured content from search results for downstream processing

Pros

  • Supports 14 different search providers through one unified API
  • Budget-aware routing helps control costs across providers
  • Includes built-in content extraction from search results

Cons

  • Low GitHub star count (2) suggests limited community adoption or maturity
  • Only available in Python, restricting use in other language ecosystems
  • No clear vendor backing, which may affect long-term maintenance

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Supports 14 different search providers through one unified API
  • Budget-aware routing helps control costs across providers
  • Includes built-in content extraction from search results

Cons

  • Low GitHub star count (2) suggests limited community adoption or maturity
  • Only available in Python, restricting use in other language ecosystems
  • No clear vendor backing, which may affect long-term maintenance
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