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    Free multi-source search for AI agents with multi-source verification, token savings, and MCP native support.
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    Apache 2.0
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    MCP server for the Google Search Console API. Enables search performance analytics, sitemap management, URL index inspection, and property management through natural language.
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    MIT
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    Google Search Console for agents: search analytics by query, page, country, and device, plus a striking-distance report for queries ranking just off page one. Also lists, submits, and removes sitemaps and inspects URLs for index status, last crawl, and canonical.
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    MIT
  • A
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    Free multi-source web search server for AI agents, with confidence scoring and token optimization.
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    Apache 2.0
  • A
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    A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.
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    MIT
  • A
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    Provides a pay-per-query web search tool for AI agents via Lightning Network sats, enabling no-KYC, account-free searches through the MCP protocol.
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    MIT
  • A
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    Local-first realtime web research MCP for LM Studio with keyless SearXNG, clickable citations, adaptive deep research, provider health, and one-click Windows startup.
    MIT
  • F
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    Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data • No API key needed, free access • Rate limit: 500 requests/hour per IP
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    Free self-hosted web search for AI agents with multi-engine parallel search, semantic re-ranking, and native China network support. Zero API keys.
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    MIT
  • F
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    A small MCP server that searches the 1Password/AgileBits employee directory (ChartHop) using a bearer token and returns matching people with name, job title, and profile URL.
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