"Slack" matching MCP servers:

Detects a company's technology stack from its public web presence. Returns structured tech signals for sales targeting and competitive analysis.

Paste a URL to see exactly how it renders as a social card on Twitter, LinkedIn, Facebook, and Slack. Generate custom OG images from templates.

Converts X (Twitter) posts into JSON, PDF, PNG, Markdown, or Slack/Discord messages using public endpoints, no API key or login required.

Detects what technologies (CMS, frameworks, analytics, etc.) a website uses by fingerprinting its HTTP response and markup, returning confidence-scored results for single or bulk URL queries.

Detects the technology stack behind any website, including frameworks, CMS, analytics, and more, via a single POST request.

Monitors product prices by comparing database reference prices with real-time G-Market prices and sends Slack notifications when prices drop.

Records masked browser sessions (rrweb DOM + console + network) to a local SQLite store and exposes them to AI coding agents via stdio MCP. Fully local, no SaaS, no telemetry.

Given a company domain or name, it checks ten app marketplaces — HubSpot, Salesforce AppExchange, Slack, Zapier, Shopify, Atlassian, Chrome Web Store, Microsoft, Google Workspace, and WordPress — to report where the company is listed, with each listing's URL, installs, rating, review count, and match confidence. Useful for competitive research and partner-ecosystem audits across many domains in a single run.

Collection of B2B sales intelligence MCP servers. Includes website analysis, tech stack detection, hiring signals, review aggregation, ad tracking, social profiles, financial reporting and more for AI-powered prospecting

Enables AI assistants to search and aggregate used-vehicle listings across Cars.com, Autotrader, and KBB, with filters for price, mileage, dealer information, and CARFAX-style history conditions.

Enables Claude, Cursor, and other MCP clients to audit public sites across six areas, check and follow llms.txt links, compare rival sites side by side, and run sixteen content gates on local Markdown or MDX using only free public signals.

Gives AI coding agents the web as an API: it scrapes pages to Markdown, crawls and maps sites, and runs ready-made or self-built skills for sites like Google Maps, Amazon, LinkedIn and Instagram, returning clean typed rows that repair themselves when a site changes. It also supports batched runs, scheduled workflows with apps like Slack and Sheets, saved logins, and Firecrawl/Apify-compatible endpoints.

Enables AI assistants to control a browser through tools for web automation, including navigation, typing, clicking, and taking screenshots.

Enables AI assistants to concurrently search, normalize, and compare Japanese restaurant results across Tabelog, Hot Pepper Gourmet, and Google Maps, with filters for cuisine, area, reservations, and amenities. It also retrieves structured restaurant details, reviews, menus, and courses through typed MCP tools.

Enables an external AI client to discover tender portal APIs, collect and verify tender listings, combine sections, and select relevant lots from a user request through local MCP tools.