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570,205 tools. Updated 2026-09-15 04:10

"Business Directory Search and Update Tool for SEO" matching MCP tools:

  • Find local keyword opportunities for any business. Returns keyword difficulty, current rank, search volume, and competitor data to improve local SEO.
    MIT
  • Discover local SEO keyword suggestions with search volume and difficulty estimates. Use this tool to find relevant keywords for optimizing local search visibility.
    MIT
  • Track local search rankings across a geographic grid. Run keyword searches at coordinate points to monitor SEO performance for business locations.
    MIT
  • List all SEO tasks for a property with filters for status, assignee, taskbox, or search query.
    MIT
  • Resolve reference data for intelligence-tool filters: search technicians, business units, payment types, or membership types by name and get matching IDs.
    MIT

Matching MCP Servers

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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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    MIT
  • F
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    MCP server for querying a cross-referenced directory of evidence-based therapies and interventions, enabling search by query, tier, problem, population, modality, and registry.
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Matching MCP Connectors

  • Search the AI Tool Directory catalog: tool details, status checks (alive/acquired/deceased + cause and date), alternatives, and side-by-side comparisons. Read-only.

  • Search a directory of real, owner-confirmed small businesses. Read-only; attribution required.

  • Index or update a knowledge directory to enable semantic search across markdown, Python, and Jupyter notebook files. Specify the directory path and optionally control recursion and reindexing.
    MIT
  • Search curated, source-backed SEO, SaaS, and LLM-wiki knowledge to ground answers with ranked notes, snippets, and URLs.
    MIT
  • Collect unigrams and bigrams from search results to identify related terms for SEO content optimization. Specify keywords, search engine, region, and depth for relevant keyword variations.
    MIT
  • Find organic-search competitors for a set of keywords, search engine, and region. Use this to reveal rival domains and refine SEO strategy.
    MIT
  • Export search results for specified keywords, regions, and search engines to obtain ranking data. Use the retrieved data to analyze keyword performance and guide SEO strategies.
    MIT
  • Update Rank Math SEO settings for WordPress posts and pages, including SEO titles, meta descriptions, focus keywords, canonical URLs, and Open Graph data to improve search visibility.
    GPL 2.0
  • Analyze SEO performance metrics for domains, URLs, or site sections by specifying date, search scope, protocol, and country. Customize data retrieval to evaluate search visibility and optimization effectiveness.
    MIT
  • Start watching a directory for changes to automatically update the full-text search index for Japanese text files.
    MIT