Agents · Live
AIUseCaseHub MCP
AIUseCaseHub MCP brings the AIUseCaseHub dataset into agent workflows. Four tools cover natural-language search, filtered hybrid search, semantic search, and detail lookups. A free public preview works without registration, and a personal API key unlocks full results. The repository contains an optional local stdio adapter, integration examples, and registry metadata for the hosted service.
- My role
- Creator and builder
- Started
- Updated
- Visibility
- Public
- Built with
- Model Context Protocol · Streamable HTTP · Node.js · Hybrid search · Docker
- MCP tools for search and detail lookups
- 4
- public preview without registration
- Free
- listings: MCP Registry, Smithery, Glama
- 3
Problem
Agents that research enterprise AI tend to rely on generic web search and unverifiable claims.
Solution
Purpose-built MCP tools that return source-linked deployment records, so an agent can cite real evidence and separate reported outcomes from missing evidence.
Architecture
A hosted MCP endpoint over Streamable HTTP supports both the stateless 2026 protocol and older initialization handshakes. Preview limits are enforced centrally across workers, and an optional stdio adapter forwards requests for clients that need a local process.
Lessons learned
A good MCP server is mostly product work: clear tool boundaries, honest limits, predictable credit costs, and verification scripts that do not burn the user's quota.
mcp · agents · developer-tools · ai-use-cases