PreMan
Postman for MCP servers and AI agent tools
PreMan launched on May 11, 2026 with 9 votes, #1,305 of 20,538 launches that month and more than 90% of that year's launches.
What it does
PreMan helps developers test, host, and debug MCP servers and AI agent tools. Import a REST API, expose it as a hosted MCP server, issue scoped agent tokens, test tool calls, and inspect audit logs in one place. It is built for teams moving from normal APIs to APIs that Claude, ChatGPT, Cursor, and internal agents can safely call.
PreMan shows which users a release may affect, watches API endpoints in production, and opens verified fix PRs when regressions appear.
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PreloopJan 2026 · preloop.ai · ▲121Hey HN, I’m Yannis, co-founder of Preloop. We’ve built a proxy for the Model Context Protocol (MCP) that lets you add human approval gates to your AI agents without changing your agent code. We’re building agents that use tools (Claude Desktop, Cursor, etc.), but we were terrified to give them write-access to sensitive systems (Stripe, Prod DBs, AWS). We didn't want to rewrite our agents to wrap every tool call in complex "ask_user" logic, especially since we use different agent runtimes. We built Preloop as a middleware layer. It acts as a standard MCP server proxy.You point your agent to…
Apideck MCP ServerMay 2026 · apideck.com · ▲178Give AI agents access to real-time data across 200+ apps
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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