Make your tools usable by AI agents — instantly.

UseAgents is a real-time MCP registry where agents query structured tool data instead of scraping docs.

135 tools indexed in the registry

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What agents actually get

Instead of scraping docs and stitching together guesses, agents can ask once and get structured tool context back for a real task, not a vague category.

Agent Request

{
  "q": "authentication library for Node.js"
}

UseAgents Response

results[1]:
  - name: Example Auth SDK
    description: A TypeScript authentication library for Node.js applications.
    languages[2]: TypeScript,JavaScript
    categories[2]: Authentication,SDK
    slug: example-auth-sdk

How It Works

How it works for agents

UseAgents keeps the flow short: ask for a tool, return structured context, execute with the right instructions.

1

Agent asks for a tool

An MCP-connected agent sends a structured query for the job it needs to do.

2

UseAgents returns structured tool data

The registry responds with the tool, install command, usage shape, and auth requirements.

3

Agent executes with correct context

The agent installs or calls the right tool without guessing from stale docs or noisy search results.

Two Sides, One System

Built for both sides of the loop

UseAgents works because tool creators publish the source of truth and agent builders retrieve it in a format machines can use directly.

For Agent Builders

Query fresh tool data instead of guessing from stale docs, blog posts, or search results.

  • Stop hallucinating tool choices
  • Get structured, machine-readable responses
  • Use real-time results that stay current

For Tool Creators

Publish the install steps, usage patterns, and metadata agents actually need to use your tool correctly.

  • Define your tool once
  • Make it usable by agents
  • Stay up to date without model retraining

Why This Works

What agents get (that web search can’t)

Agents perform better when tool data is structured, retrievable, and current.

Structured responses

  • Machine-readable output for agents
  • Creator-defined install and usage data
  • Less ambiguity than scraped docs

Fast retrieval

  • One query instead of search loops
  • Actionable answers, not long explanations
  • Less token waste resolving noise

Always up to date

  • Creators update the registry directly
  • Current instructions without retraining models
  • Version-aware context that changes with the tool

Why this has to exist

Agents are improving quickly, but the tool context they depend on is still fragmented, noisy, and often out of date.

Tools were built for humans, not agents

Most tools ship with docs and launch flows for people, not machine-readable context for agents.

Models rely on outdated knowledge

When SDKs, APIs, and install steps change, model knowledge lags behind what is actually true right now.

Web search creates noise for agents

Search results mix stale docs, SEO pages, and conflicting advice, which makes tool execution less reliable.

Common questions

Everything you need to know about UseAgents.