ag-mcp-search
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- AlicenseNot gradedqualityDmaintenanceAn agent-based tool that provides web search and advanced research capabilities including document analysis, image description, and YouTube transcript retrieval.17Apache 2.0
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- AlicenseNot gradedqualityAmaintenanceEnables AI agents to perform live web searches across 9 engines, scrape web pages into clean formats, and run agentic research with citations via MCP.238 PyPI2MIT
- AlicenseAqualityDmaintenanceProvides web access capabilities for LLMs including search, fetching, content extraction, PDF reading, image viewing, and screenshots.346MIT
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: web_search finds pages, web_read extracts content from a known address, web_deep_search synthesizes answers from multiple sources, web_image_search locates images, and web_screenshot captures visual page previews. No two tools overlap in a way that would confuse an agent.
All tool names share the predictable 'web_' prefix and follow a consistent pattern: web_search, web_read, web_image_search, web_screenshot, web_deep_search. The naming convention is uniform and signals the tool's function clearly.
Five tools is an ideal size for a web-focused module. It covers search, reading, image lookup, deep synthesis, and screenshotting without redundancy or bloat. Each tool earns its place.
The tool surface covers the full web research lifecycle: discovering pages, reading their content, synthesizing multi-source answers, finding images, and visual verification. There are no obvious missing capabilities or dead ends within the stated purpose.