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Percy

Percy MCP Server

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Execute visual regression tests via Percy — track visual diffs natively, inspect snapshot limits, approve builds, and verify UI components using AI.

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Percy
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What is the Percy MCP Server?

The Percy MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Percy via 10 tools. Execute visual regression tests via Percy — track visual diffs natively, inspect snapshot limits, approve builds, and verify UI components using AI. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

approve_buildapprove_snapshotget_build_detailsget_project_detailsget_snapshot_detailslist_browserslist_buildslist_comparisonslist_projectslist_snapshots

Tools for your AI Agents to operate Percy

Ask your AI agent "Log explicitly the builds targeting structural limits seamlessly isolating project 'org-slug/my-app' dynamically checking bounding states natively." and get the answer without opening a single dashboard. With 10 tools connected to real Percy data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Percy MCP Server capabilities

10 tools
approve_build

/approve` moving the test suite to green. Approve all unreviewed snapshots in a Percy build. Marks the entire build as visually approved for deployment

approve_snapshot

Approve a single Percy snapshot. Marks it as visually correct, updating the baseline for future comparisons

get_build_details

Get full details of a Percy build including state, total/unreviewed snapshot counts, approved/rejected snapshots, branch, commit SHA, and finalized timestamp

get_project_details

Get full details of a Percy project including name, slug, default branch, auto-approve enabled, browser targets, and build count

get_snapshot_details

Get full details of a Percy snapshot including name, review state, widths, fingerprint, and comparison count

list_browsers

List all supported browser families on Percy. Returns browser names, versions, and OS combinations for cross-browser visual testing

list_builds

List builds for a Percy project. Each build contains snapshots from a test run. Returns build IDs, states (processing/finished/failed), branch names, commit SHAs, and snapshot counts

list_comparisons

List visual comparisons for a Percy snapshot. Each comparison shows the diff between baseline and head at a specific width/browser. Returns diff images, diff percentages, and browser info

list_projects

List all projects on Percy (BrowserStack). Percy is the leading visual regression testing platform that captures snapshots and detects pixel-level UI differences across builds. Uses JSON:API format. Returns project names, slugs, and browser configs

list_snapshots

List snapshots in a Percy build. Each snapshot is a captured page/component at specific widths and browsers. Returns snapshot names, review states (unreviewed/approved/rejected), and diff percentages

What the Percy MCP Server unlocks

Inject precision quality assurance workflows directly bounding LLM models via the Percy Visual Testing API (by BrowserStack). Programmatically verify pixel regressions executing queries evaluating visual boundaries natively across target projects. Inspect deep status arrays parsing CI build limits dynamically, extract metrics evaluating granular snapshot checkpoints asynchronously, and force immediate test baseline approvals seamlessly directly from explicit prompt commands naturally.

What you can do

  • Project Navigation — Read bounded parameters tracking Percy deployments isolating configurations determining explicitly specific active QA targets natively
  • Automated Build Oversight — Track specific arrays extracting dynamic checks returning pipeline checkpoints (approved/failed/unreviewed limits) explicitly seamlessly
  • Visual Snapshot Operations — Log natively extracting bounds verifying comparison properties logging rendering differences mapping exact explicit width constraints
  • Baseline Affirmations — Mutate bounding loops forcing active execution of JSON logic structurally bypassing native clicks allowing test approvals implicitly (approve_build or approve_snapshot)

How it works

1. Enable the structural node mapping target locally inside your logic constraints securely
2. Incorporate explicitly bounds adding your single Percy Project Token statically internally gracefully
3. Engage conversational agents dynamically explicitly retrieving UI test results bounding seamlessly

Who is this for?

  • QA & Testing Engineers — extract specific arrays parsing failed assertions tracking structural rendering regressions safely returning granular boundaries immediately iteratively
  • Frontend Teams — resolve visual bounds logging pipeline limits running explicitly without traversing complex dashboards isolating errors easily intelligently natively
  • DevOps Admins — verify explicit pipeline health tracking CI loop states explicitly monitoring unreviewed elements globally reliably securely

Frequently asked questions about the Percy MCP Server

01

Can the AI automatically approve an entire Percy build limit safely via constraints natively?

Absolutely strictly explicitly natively. The integration encapsulates the approve_build action dynamically structurally executing the final endpoint verification marking bounds explicitly matching visual approvals effortlessly saving limits.

02

How explicitly strict are the parameter bounds when extracting image comparisons logistically?

Invoking Explicit bounding via list_comparisons tracks native image differences safely cleanly bounding metrics returning explicit difference percentages mapping base width loops directly over testing node grids explicitly gracefully natively.

03

Where structurally globally do I find my Explicit Percy integration token accurately gracefully?

Navigate explicit bounds inside your native Percy workspace parameters explicitly mapping 'Project Settings > Integrations/Tokens'. Globally limit testing node arrays explicitly generating Token strings seamlessly securely correctly internally securely elegantly here.

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