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

A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.

Classic SEO suites charge heavily for link indexes. This MCP gives individuals and agencies a free, automatable path to: surface pages that mention a brand (linked or not), narrow guest-post and resource-page angles, see who links to competitors, verify whether a page links to you, and pull contact signals for outreach—all orchestrated by Claude or Cursor through typed tools instead of brittle cop

Enables AI agents to perform comprehensive SEO audits on web pages, including meta tags, headings, links, images, performance, and more, via a CLI or MCP server.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Provides on-page SEO analysis via MCP tools, including page audits, schema extraction, robots.txt checks, sitemap parsing, and link analysis. No API keys required; works with any MCP-compatible client.

SEO toolkit MCP server for analyzing meta tags, robots.txt, sitemaps, keyword density, readability, and heading structure from any AI assistant that supports MCP.

Enables auditing of a live website's technical SEO, including sitemap coverage, per-page issues, and redirect chains.

MCP server that uses a visible Playwright browser to search products and manage an Amazon Business cart, requiring manual login for security, and never finalizes orders.

Enables MCP clients such as Claude Code, Cursor and Codex to search a 1,245-site backlink library, plan link-building campaigns, build links in the user's own browser by following each site's method, and verify every placement by checking the live hyperlink, anchor text and nofollow status. It also resolves captcha, login and email-code gates in the chat, and re-checks placed links and referring domains over time with spam flags and a disavow file.

Enables AI agents to perform instant SEO audits, check robots.txt, sitemaps, and AI crawler access for any URL without API keys.

Provides web search and page fetching capabilities using Ollama's API.

A comprehensive MCP server for SEO, performance, GEO, and UX audits with 37 tools covering technical SEO, Lighthouse performance, AI search optimization, content analysis, accessibility, security, and more.

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.

Lets Claude Code and other MCP clients drive the SEO Content Machine desktop workspace on the same machine: starting and running tasks that scrape search results, crawl a site's internal links, pull Google Maps listings with ratings and reviews, download archive.org copies, extract page values into CSV, and add or update SEO Workspace pages, then read their results.

A Model Context Protocol (MCP) server that provides comprehensive SEO analysis tools with actionable fix instructions for AI assistants like Claude Code and Claude Desktop.

Enables coding agents and CI pipelines to fetch a URL over HTTP and in a real browser, then verify whether the served and rendered page actually deliver correct titles, canonicals, robots directives, JSON-LD, redirects and hydration signals. Returns one structured report plus rule catalog data in a single local call, with exit codes that let a fix be proven deterministically.

Enables AI assistants to analyze any website URL and return structured business data — name, logo, brand colors, merchant category code, headquarters address, phone, email and social links — each with a status, confidence, source and supporting evidence. Also exposes tools to explain step-by-step how a single field was decided, look up MCC codes, and report model usage.

A Playwright-based browser automation tool for AI agents, enabling web search, navigation, scraping, and page interaction through the Model Context Protocol.

Analyzes any webpage for SEO scores, issues, and actionable recommendations. Supports side-by-side comparison of two URLs.

Audits any website for SEO issues, providing scored health checks, schema validation, and performance analysis through AI assistants.

Provides SEO audits, content analysis, and domain overviews through an MCP server, including on-page, technical, and authority metrics with built-in browser rendering and anti-bot handling.

Enables natural language technical and JavaScript SEO audits, including headless rendering, hydration gap analysis, schema validation, AEO checks, and semantic cannibalization detection.

Enables performing Google searches and retrieving content from the top 5 non-social media results. Returns crawled web page content as a single consolidated string for analysis.

Classifies company sites as B2B or B2C and as SaaS, online store, agency, manufacturer, wholesaler, distributor, or marketplace, while matching your own buyer phrases and returning the quoted text and page as evidence. Runs deterministically on Apify, giving one row per domain with grace-free status rows for unreachable, blocked, or empty sites.

Enables broad web search for current, time-sensitive information, returning short title, URL, and snippet results rather than full pages. It supports region and result-count parameters through a keyless multi-engine backend.

Enables lightweight web search discovery and on-demand extraction of cleaned page text from supplied URLs, returning snippets, headings, links, and saved full text for longer pages.

CLI-first web and code search for agents, with MCP support for integration with IDEs like Cursor, VS Code, and Claude Code.

Wraps the local agy CLI into an MCP server to provide a web_search tool that enables Claude Code to perform real internet searches through Gemini/Google.

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.