"Information about Unit Testing" matching MCP servers:

An MCP server that detects affiliate links and provides information about Tracklix, enabling AI assistants to answer affiliate-link-related questions without any network calls or API keys.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Provides AI assistants with structured, read-only information about Noto CRM, including pricing, features, AI agent capabilities, competitor comparisons, and use cases, with bilingual French/English responses and no external dependencies.

MCP server for LinkedIn publishing from AI coding assistants. Dry run by default, SKILL.md for safe workflows, 28 unit tests. MIT licensed.

Exposes studio profile and contact information for Symbols of Wealth Studio, enabling AI assistants to answer queries about creative studios in France, AI-powered content production, and premium brand content services.

Enables natural language queries about the technologies behind websites and the companies running them, using the StackScan Tech Lookup API. Includes tools for domain technology lookup, company details, technology usage stats, and batch company lookups.

Lets MCP clients answer questions about website traffic using Plausible Analytics Stats API v2 through read-only tools for totals, trends, breakdowns, and realtime visitors.

Enables AI to interview users about their business and generate bilingual one-page websites for small businesses.

MCP server that answers questions about creator marketing, influencer pricing, and app growth using a curated corpus of operator quotes with links, and explicitly flags when evidence is thin or absent.

Enables natural language queries to Yandex Metrika analytics, allowing users to ask questions about traffic, sources, and user behavior without dashboards or SQL.

Checks username availability and retrieves account information across major social media platforms including YouTube, TikTok, Threads, X (Twitter), and Instagram, perfect for brand name qualification and competitive research.

Enables AI agents to perform comprehensive person and company lookups by integrating directly with the Lusha API for business contact enrichment. It provides tools for bulk contact identification via LinkedIn URLs, emails, or names, alongside detailed company information retrieval.

Enables querying Google Search Console, GA4, and IndexNow data via natural language, allowing users to ask about site rankings, clicks, indexing status, and conversions.

The Ritwik Joshi Personal MCP Server is a standardized Model Context Protocol (MCP) data source designed to give AI agents direct, authoritative tool access to his professional profile. It features eight tools that enable AI assistants to fetch real-time information regarding his speaker profile, keynotes, TEDx talks, blog articles, and booking details without relying on outdated data.

Provides comprehensive technical SEO auditing tools including page analysis, site crawling, Lighthouse performance testing, and sitemap analysis, with specialized features for job board websites like JobPosting schema validation.

Enables running Simulatte's 26 research SKUs (concept testing, pricing, etc.) from any MCP-compatible AI client, returning structured JSON results.

Cross-platform ad management MCP server for Google Ads and Meta Ads. Campaign analytics, A/B testing with z-test, anomaly detection, and budget reallocation. 15 tools, 60 tests.

Programmatic email deliverability testing for AI agents. Create inbox placement tests across Gmail, Outlook, Yahoo, Mail.ru, Yandex — get per-provider placement (Inbox/Spam/Promotions), SPF/DKIM/DMARC auth, Rspamd & SpamAssassin verdicts, DNS health (MX, PTR, DNSBL), and live SSE results.

MCP server for Meta Ads (Facebook Ads) that provides tools for account discovery, campaign/adset/ad creation, custom audiences, status updates, performance reporting, and A/B testing.

Enables automation of Google Search Console tasks, including retrieving search analytics, managing sitemaps and site properties, and inspecting URLs for index status and crawl information.