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goofrey/zoom-search

by Various

MCP search and evidence tool for AI agents with query rewriting, source zoom-in, sourced answers, and runtime metrics.

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MCP

goofrey/zoom-search

Added 3 Sept 2026

#agent-tools #ai-agents #ai-search #deep-research #evidence-synthesis #llm #mcp #mcp-server

Overview

goofrey/zoom-search is an MCP search and evidence tool for AI agents, built in Python. It supports query rewriting, source zoom-in, sourced answers, and runtime metrics.

Best for

Best for
Developers building AI agents that need evidence-backed search answers

Use cases

  • Give AI agents search results with cited evidence
  • Rewrite user queries to improve source retrieval
  • Monitor search performance with runtime metrics

How to use

Install

pip install zoom-search

Tested with

ChatGPT

Notes

goofrey/zoom-search is an MCP search and evidence tool for AI agents, built in Python. It supports query rewriting, source zoom-in, sourced answers, and runtime metrics.

3 stars on GitHub. Last updated 2026-07-16. Licensed MIT.

Use cases

  • Give AI agents search results with cited evidence
  • Rewrite user queries to improve source retrieval
  • Monitor search performance with runtime metrics

Pros

  • Integrates with agents through MCP
  • Combines query rewriting with source zoom-in
  • Provides runtime metrics for observability

Cons

  • Low adoption, 3 stars
  • Requires Python runtime
  • Documentation limited to the repository description

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

Pros

  • Integrates with agents through MCP
  • Combines query rewriting with source zoom-in
  • Provides runtime metrics for observability

Cons

  • Low adoption, 3 stars
  • Requires Python runtime
  • Documentation limited to the repository description

Open-source & AI alternatives

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Pairs with

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