"A server for finding company information and data" matching MCP servers:

Enriches domains into full company profiles with firmographics and buying signals.

Turns any company domain into a live, normalized enrichment record covering firmographics, MX-graded business contacts, a tech-stack fingerprint, social links, and a hiring signal derived from eight applicant-tracking platforms. All data is read from public keyless sources at call time, so agents can screen prospects and compare hiring intensity without paid databases or API accounts.

Live open jobs from companies' own Greenhouse, Lever and Ashby boards via their official public APIs, with publish-verified dates, age, long-open and repost signals, filters and change tracking.

Enables enriching company domains into structured firmographics including employee band, industry, HQ, founded year, revenue estimate, logo, and description, with source provenance and data completeness scoring.

Enables users to estimate employee count bands for company domains by aggregating LinkedIn company size from Google results, Wikidata, and homepage declarations. Returns source, confidence score, and optional GitHub member and open-job context.

Enables finding companies similar to seed domains or best customers, ranked by a 0–100 similarity score with supporting evidence for each match. Runs on Apify and returns Clay-ready results with optional business model, Reddit, and marketplace checks.

MCP server for the Mamba Labs Company Contact Details Extractor actor on Apify. Find a company contact page and extract role emails, a phone number and a postal address.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

MCP server for structured web data access, enabling local-market research and lead-list enrichment by returning business names, locations, ratings, and review signals from concrete queries.

Enables AI agents to extract structured firmographic data from public LinkedIn company URLs, returning fields like name, industry, size, and headquarters.

Enables building targeted company lists from live job boards or SEC filings via the Apify actor, supporting role keywords, locations, and filing phrases.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

19 public-data tools for AI agents: Google SERP with full AI Overviews, Google AI Mode, Southeast Asia + global news mentions, Google Maps, Jobs, Trends, Ads Transparency, website contacts, YouTube, TikTok and more. Each tool runs a pay-per-result Apify actor on your own Apify token, with a per-call spending cap.

Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Domain -> company intelligence for AI agents. Look up company name, country, contacts, and social profiles from any MCP-compatible client.

Enables AI agents to query structured data refined from unstructured web sources, including developer breaking changes, B2B pricing matrices, regulatory compliance, semantic search, and on-demand URL refinement.

MCP server providing data tools for AI agents (agentkit-data-mcp).

MCP server providing web search, fetch, and crawl capabilities for AI agents via the spider.cloud API, with caching, cost controls, and robust error handling.

Enables AI agents to retrieve X/Twitter profiles and tweets, YouTube video and channel data, and TikTok profile and video stats on a pay-per-result basis without requiring login or platform API keys.