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BobChochola

playwright-fixer-mcp

by BobChochola

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
analyze_and_fix_selectorA

Analyze Playwright failure: require reading the full spec for context first; use error message + screenshot path (and optional DOM snapshot) to suggest a stable locator fix (getByRole preferred).

get_playwright_fix_workflowA

Return the recommended workflow when fixing Playwright tests: (1) Read the entire test case first for context, (2) On failure, analyze the screenshot together with the error message.

get_internal_locator_rulesA

Return company internal Playwright locator rules (getByRole preferred, no XPath).

get_tag_run_ruleC

Return the rule: when user inputs npx playwright test --grep @AUT-xxx or @AUT-xxx (test tag), automatically trigger MCP run. Call run_test_and_analyze_failure first; on failure use its return to call analyze_and_fix_selector.

run_test_and_analyze_failureA

Run npx playwright test --grep @. Returns passed/failed + resolvedContext (hover/fill/iframe/default) + artifacts for analyze_and_fix_selector. Enforces retry stop-loss: returns shouldStop:true when attemptNumber >= 3, requiring human escalation.

validate_and_apply_fixA

Validate proposed code changes against LOCATOR_VIOLATION_RULES (no XPath, no bare CSS classes, iframe must use frame.locator), then apply to spec file. Returns violations if any error-level rule is violated — model must fix and retry. This is the only valid path to write spec changes; direct file edits bypass LOCATOR_RULES enforcement.

resolve_spec_by_tagA

Resolve the absolute spec file path that contains a given @AUT-xxx tag by scanning test specs. This enables the required workflow: read the spec FIRST (read_spec_file) to understand intent, then run the test. Avoid guessing which spec to read — this tool deterministically finds it.

read_spec_fileA

Read the full content of a spec file and auto-resolve its imported page object. Provides the model with complete, deterministic test context — full step flow, helper DSL calls, and selector definitions — before calling analyze_and_fix_selector. Never let the model guess about test intent; call this first.

read_page_object_selectorsA

Extract all selector definitions from a page object file. Returns a getter → elementName → selector mapping so the model sees the exact CSS/attribute selectors in use — essential for diagnosing broken selectors without guessing. If structured extraction fails, returns the raw file content as fallback.

get_failure_artifactsA

Scan the test-results directory for failure artifacts: latest screenshot path, trace.zip path. Provides deterministic artifact location so the model never guesses where failure evidence is stored. The model should open the screenshot and pass screenshotPath + tracePath into analyze_and_fix_selector.

get_iframe_contextA

Extract iframe selector and frame-related operations from a spec file and its page object. Returns the iframe locator string, count of frame operations, and enforcement reminder. Call this for any failure whose context is 'iframe' to provide deterministic frame structure before calling analyze_and_fix_selector — the model must never guess the iframe selector.

propose_rule_evolutionA

After a test passes following an automated fix, propose the learned pattern as a new rule entry. This tool writes the proposal to a PENDING queue file for human review — it does NOT modify any .cursor/rules files directly. A human must mark the entry APPROVED before it can be applied. This is the governance layer: the AI proposes, the human decides.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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