Wirable

Wirable tests whether AI agents can complete real workflows, scores readiness, and can host an MCP proxy to fix breakage for agent-ready products.

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Agent-readiness testing and MCP proxy repair

Wirable is a tool for checking whether an AI agent can actually complete workflows on a product, not just call an API in isolation. It runs a live browser audit, scores the result from 0 to 100, and uses three agents to reach consensus on the outcome.

If a product is not agent-ready, Wirable can host an MCP proxy in front of it to repair the breakage, then re-run the audit to verify the change. The site positions this as a repeatable test-fix-verify loop for teams building products that need to work with agents.

Core capabilities

Live agent audit

Runs a live browser audit where an agent tries to complete real workflows on the product as a real user would.

Consensus scoring

Uses three agents and a consensus model to produce a 0–100 readiness score.

Weighted rubric

Measures products against six explicit dimensions: API surface, auth, MCP, errors, idempotency, and docs.

Hosted proxy repair loop

Can host an MCP proxy in front of the product to address breakage without changing application code.

Verification pass

Re-runs the audit after the proxy is in place so teams can see whether the score improves.

Ongoing maintenance tools

Provides GitHub fix PRs and drift monitoring on the Pro plan to keep agent access working over time.

Practical use cases

Pre-launch agent readiness checks
A team wants to know whether agents can complete important user journeys on its product before shipping an AI-facing workflow. Wirable gives them a scored audit instead of guessing from manual testing.
Repairing agent breakage
A product fails because agents cannot get through auth, errors, or missing machine-readable surfaces. Wirable can stand up an MCP proxy to address the breakage and then verify the outcome.
Demo and evaluation access
A team needs an outside-facing score for a demo, judge review, or hackathon submission. The access-code flow suggests Wirable is meant to support those temporary evaluation scenarios.
Ongoing maintenance after release
A team wants to keep an agent-friendly surface from drifting after changes. The Pro plan includes drift monitoring and GitHub fix PRs to re-check and maintain readiness over time.

Pros and Cons

Pros

Checks agent readiness with a live browser audit rather than only static documentation.
Uses an explicit six-dimension rubric, which makes the score easier to interpret.
Combines scoring, repair, and verification in one loop.
Offers a free test path before asking for a paid plan.
Includes a Pro option with hosted MCP proxy, drift monitoring, and GitHub fix PRs.

Cons

The public pages do not document detailed setup steps, supported auth patterns, or all integration options.
Pricing information is limited to the public plan names and a few included items, so readers may need to sign in or start a test for exact usage limits.

FAQ

Can I try Wirable without paying?

Yes. The site offers a free audit that runs three agents and returns a consensus score. The recurring paid value is the hosted MCP proxy and drift monitoring.

What does the core workflow look like?

Wirable runs an agent through a live browser, scores the result from 0 to 100 across six dimensions, and then can host an MCP proxy to fix the breakage and verify the result again.

How is the score determined?

The page says the score is built from six weighted dimensions: API surface, auth, MCP, errors, idempotency, and docs. Three agents reach consensus for the final score.

How do people get access to the product?

The sign-in page supports creating an account, signing in with Google, or entering an access code. The access-code page says judges and hackathon viewers can redeem a code without email, and Pro can be purchased by card.

What integrations are documented publicly?

The site mentions a hosted MCP proxy, GitHub fix PRs, and drift monitoring, but it does not provide deeper setup details on the public pages provided here.