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feat: add Web Data Mode section and Bright Data Rapid Agent (custom agent for accurate web search) - #75

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feat: add Web Data Mode section and Bright Data Rapid Agent (custom agent for accurate web search)#75
felixLandlord wants to merge 1 commit into
Code-and-Sorts:mainfrom
felixLandlord:add-brightdata-search-agent

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Add Bright Data Rapid agent — specialized web intelligence via MCP

What does this PR do?

This contribution adds a GitHub Copilot custom agent that integrates with the Bright Data MCP server for live web access.

Agent Information

Bright Data Rapid Agent

Agent Name: Bright Data Rapid Agent
Category: web data mode
Specialty: Live web research via Bright Data MCP — search, discover, and scrape with citations

Motivation

The Awesome Copilot Agents had no dedicated agents for live web research via MCP tooling. General-purpose agents can hallucinate current facts or use inconsistent web access patterns.

The agent fills these gaps:

Need Agent
Exploratory research on an unfamiliar topic Rapid Agent
Fact-checking a specific claim or current event Rapid Agent
Looking up official docs, specs, or release notes Rapid Agent
Reading and quoting content from known URLs Rapid Agent
Running several search queries at once Rapid Agent
Fetching multiple URLs in one step Rapid Agent
Simple search-and-scrape workflows without browser automation Rapid Agent

Testing

  • Simple research: “I'm evaluating headless browser options for AI agents in 2026. Discover recent comparisons and summarize the top 3 options with pros/cons. Cite every source.” using discoverscrape_as_markdown on top results
  • Targeted lookup: "What is the current stable version of Node.js? Use web search, cite the official source URL, and quote the version number from the page you open." via search_engine with inline citations
  • Batch comparison: "Run separate searches for: (1) "Bright Data MCP free tier requests", (2) "GitHub Copilot custom agents", (3) "MCP Model Context Protocol". Give one sentence per topic with a source link each." via scrape_batch for a side-by-side summary

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