Wirable
Wirable audits and scores your product’s agent-readiness (0–100) using a live browser and three-agent consensus, then boosts it by deploying a hosted MCP proxy and automated fix PRs—often without requiring code changes.
https://wirable.dev/?ref=producthunt
Product Information
Updated:Jun 29, 2026
What is Wirable
Wirable is a platform designed to answer a practical question for modern software teams: can AI agents actually use your product end-to-end? It runs a live, real-user-style browser audit against a given domain and produces a deterministic 0–100 “agent-readiness” score across six weighted dimensions. The service is positioned as both a diagnostic and a remediation layer—helping teams identify where agents fail (e.g., auth dead-ends, missing machine-friendly surfaces, unhelpful error formats) and then providing a path to fix those issues and verify improvements on the record.
Key Features of Wirable
Wirable is an agent-readiness auditing and remediation product that tests whether AI agents can successfully use your website/app like a real user, then helps you fix failures without changing your core code. It runs live browser-driven audits using three agents that reach a consensus score (0–100) across six deterministic dimensions, provides a breakdown of what blocks agents (e.g., missing MCP surface, OAuth dead-ends, untyped/HTML errors), and can deploy a hosted MCP proxy in front of your product to add agent-friendly surfaces (MCP, machine auth, /llms.txt, typed errors). It also supports verification re-audits and ongoing drift monitoring tied to commits, with automated GitHub pull requests for fixes.
Live agent-driven browser audit: An AI agent drives your product end-to-end in a live browser session to prove where agents succeed or fail in real workflows.
Consensus scoring (0–100) across six dimensions: Three agents (N=3) reach a consensus and produce a weighted, deterministic score with per-dimension breakdown for consistent benchmarking.
Hosted MCP proxy (no core code changes): Generates and hosts an MCP proxy in front of your product to add an agent-usable interface and remediation layer without modifying the underlying application.
Automated fix PRs (agent usability artifacts): Opens GitHub pull requests for agent-readiness improvements such as /llms.txt, AGENTS.md, and an MCP manifest to reduce agent confusion and dead-ends.
Verification re-audits to prove improvement: Re-runs the same rubric through the proxy to verify that changes measurably increase the score (e.g., from blocked to completing tasks).
Drift monitoring on every commit: Continuously re-checks agent usability as your product evolves, helping prevent regressions that break agent workflows over time.
Use Cases of Wirable
SaaS onboarding and self-serve workflows: Ensure agents can sign up, authenticate, navigate, and complete core tasks (e.g., creating projects, exporting data) without getting stuck on OAuth or UI dead-ends.
Developer platforms and APIs: Add agent-friendly surfaces (MCP, typed errors, /llms.txt) so agents can reliably discover capabilities, authenticate, and execute API-driven tasks.
E-commerce and customer support automation: Validate that shopping, order lookup, returns, and support flows are agent-completable, reducing failure modes caused by brittle pages or non-machine-readable errors.
Fintech and identity/auth-heavy products: Detect and remediate authentication and compliance-related UX blockers (e.g., OAuth loops, ambiguous error pages) that prevent agents from completing workflows.
Internal enterprise tools modernization: Wrap legacy internal apps with an MCP proxy to make them operable by agents without risky rewrites, then continuously monitor drift as teams ship changes.
Pros
Evidence-based: live audits plus before/after verification make agent usability measurable rather than speculative.
Low-friction remediation: hosted MCP proxy can improve agent access without requiring core application code changes.
Ongoing reliability: drift monitoring on commits helps prevent agent-readiness regressions over time.
Cons
Proxy dependency: relying on a hosted MCP proxy may introduce an extra layer in front of your product that some teams may need to evaluate for governance/security fit.
Best suited to agent-driven interactions: value is highest when your product expects AI agents to navigate and act, less so for purely human-only experiences.
Subscription needed for continuous value: free tier is limited to a small number of audits; ongoing proxy and monitoring require a paid plan.
How to Use Wirable
1) Open Wirable: Go to https://wirable.dev/.
2) Start with the free audit (no account required to understand the flow): Use the “Run the audit” / “Start free” entry point to begin an agent-readiness test for a product domain.
3) Paste your product domain: Enter the website/domain you want audited. Wirable will run a live browser audit driven by agents.
4) Run the audit: Kick off the audit. Wirable uses N=3 agents in a live browser and produces a deterministic score (0–100) across 6 weighted dimensions.
5) Review the results: Read the overall score and the per-dimension breakdown (“The Wrapped verdict + per-dimension breakdown”). Use the shareable score output if you need to circulate results.
6) Identify what blocked agents: Use the audit findings to spot common agent blockers mentioned by Wirable (e.g., no MCP surface, OAuth dead-ends, HTML error pages, missing typed errors).
7) Generate and host an MCP proxy (the ‘Fix’ step): Follow Wirable’s flow to “generate a hosted MCP proxy to fix it.” This proxy sits in front of your product to make it more usable by agents without requiring code changes to your product.
8) Open a fix PR (optional but highlighted in the product loop): Use Wirable’s GitHub PR workflow to apply recommended agent-readiness artifacts (as referenced: llms.txt, AGENTS.md, MCP manifest) and other fixes surfaced by the audit.
9) Verify by re-running through the proxy: Re-run the audit with the hosted MCP proxy in place (“Verify”). Compare the new score to the previous score to confirm improvements.
10) Repeat the test → score → fix → verify loop: Iterate until agents can complete the target tasks reliably and your score improves under the same rubric and agents.
11) (Pro) Enable ongoing usage and monitoring: If you upgrade to Pro, use unlimited audits (fair use), keep the hosted MCP proxy live in front of your product, and enable drift monitoring that re-checks on every commit.
Wirable FAQs
Wirable is a tool that measures and improves a product’s “agent-readiness”—whether AI agents can successfully use your product. It runs a live browser audit, produces a 0–100 score across six dimensions, and can help fix issues via a hosted MCP proxy and GitHub PRs.
Wirable Video
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