The Missing MCP Category: Private Matching for AI Agents
Most MCP servers answer a practical question:
What can my AI agent do?
That is a useful question. It is why the first wave of MCP adoption has focused on tools: repositories, browsers, databases, docs
pairoa.hashnode.dev7 min read
Opportunity Biz
Building MCP-native data tools on Apify. Scraping, automation, AI agent infrastructure.
The "intent as MCP primitive" framing is interesting. One problem it runs into immediately: who runs the matching layer? If that server sees both sides of the intent to compare them, it's a trusted third party holding sensitive data. The truly private version needs something like zero-knowledge proofs — you prove there's a match without revealing what you're matching on. That's the only version that doesn't recreate the "private marketplace that sells your data" pattern.