Now in private beta

The registry and workflow
platform for AI agents

Agents are stateless. Tools are siloed. Workflows aren't shared. ALink changes that — built on MCP, driven by trust.

10,000+ MCP servers exist
0 with trust scores
0 workflow sharing platform
01

The agent ecosystem is broken

Today's AI agents are disposable. They run once, forget everything, and leave no trace. Tools exist in scattered repos with no discoverability. Workflows get rebuilt from scratch every time. Trust is assumed, never verified.

The MCP protocol solved interoperability for tools. But no one built the registry, the workflow system, or the trust layer that makes an ecosystem actually function.

02

Three systems.
One platform.

Tool Registry

Publish, discover, and rate MCP-native tools. Every tool gets a trust score, execution history, and usage analytics. Find what works. Skip what doesn't.

  • Publish MCP tools with full schema
  • Trust scores from execution data
  • Category browsing and search
  • Save to personal library

Workflow Sharing

Chain tools into reusable workflows. Publish, fork, and remix what others built. The network effect that makes the ecosystem compound.

  • Visual workflow builder
  • Publish and share workflows
  • Fork and remix others
  • Execution history and versioning

Trust Layer

Verify before you run. Execution logs, sandbox testing, peer verification, and security audits — so agents know what's safe to call.

  • Execution success rate scores
  • Sandbox testing for new tools
  • Peer verification system
  • Security audit badges
03

Workflows are where
network effects happen

A workflow chains tools together — publish it, others fork it, everyone improves it.

Research lead
Scrape website
Summarize
Generate email
Send outreach

One workflow. Five tools. Executed end-to-end. Fork it, customize it, make it yours.

Trust Verified

Without trust, the ecosystem collapses.

One malicious workflow can destroy confidence in the entire system. ALink's trust layer verifies every tool before it's listed, tracks execution outcomes, and surfaces reliability data so agents and developers can make informed choices.

Execution logs

Every run is recorded. Success rates, error types, latency — all visible.

Sandbox testing

New tools run in isolation before they go live. No data exfiltration, no prompt injection.

Peer verification

Developers vouch for tools they use. Community signals, not just vendor claims.

Infrastructure for AI labor.
Built to last.

ALink isn't another chatbot. It's the coordination and trust layer the AI agent ecosystem needs to scale — from the first MCP server to the millionth workflow.

The window is now. MCP solved interoperability. Now someone needs to build the registry, the workflows, and the trust system.