"Compare all differences between two source code folders, including binary files" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Onymu is an MCP server for domain name search, domain availability checking, and social media username lookup. Check a domain name against hundreds of TLDs in one call, including .com, .io, .ai, .co, and country-code extensions. Generate brandable startup names, business names, and product names from a keyword, and instantly see which ones are still available to register. Check username availability across major social networks so a brand name comes with matching handles. Save domains, set favorite TLDs, and recall recent searches to keep name research organized across sessions.
Check shipping costs for all logistics services in Indonesia.
Brazilian foreign trade from MDIC/ComexStat — exports and imports since 2000 by HS code (SH4/SH6/NCM) and partner country, in USD FOB and kilograms — plus crop production, supply and demand balances, climate readings and forecasts for hubs such as coffee, soybean, corn, beef and cocoa. Every comparison is like-for-like: two windows of equal length, each labelled with the period it actually measures. 12 read-only tools, metered in credits.
Official-source financial data for AI agents: Korea, US, Taiwan, Japan, Europe. 37 tools, free tier.
AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents
Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.
USECREA A persistent project layer for AI agents. USECREA keeps project knowledge, tasks, and progress available across different AI agents, computers, and work environments. Switch agents without copying chats, creating summary files, or starting over.
Closed-source remote MCP: model benchmarks, costs, HN signals, tech registry.
