maxFindingsInReport

MCP tool from Judges by KevinRabun

number

How to use it

maxFindingsInReport is exposed by the Judges MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the maxFindingsInReport tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.

Install Judges

$npx @kevinrabun/judges-cli eval --file src/app.ts

FULL JUDGES LISTING

Other tools in Judges (39)

string

number[]

string

string

string

boolean

evaluate_app_builder_flow

Run a 3-step app-builder workflow for technical and non-technical stakeholders:

evaluate_batch

Evaluate multiple code files in a single call. Returns per-file verdicts plus aggregate statistics.

evaluate_code_streaming

Streaming evaluation — returns per-judge results as each judge completes with running aggregates.

evaluate_file

Read a file from disk and submit it to the full panel. Auto-detects language from extension.

evaluate_focused

Run only specified judges. Use after an initial full evaluation to re-check specific areas.

evaluate_policy_aware

Policy-aware evaluation with named profiles (startup, regulated, healthcare, fintech, public-sector).

evaluate_public_repo_report

Clone a public repository URL, run the full judges panel across eligible source files, and generate a consolidated markdown report.

evaluate_then_fix

Evaluate code and automatically generate fix patches for all findings with auto-fix support.

evaluate_v2

Run a V2 context-aware tribunal evaluation designed to raise feedback quality toward lead engineer/architect-level review:

evaluate_with_progress

Evaluate with progress callbacks for long-running evaluations.

evaluationContext

object

evidence

object

explain_finding

Explain a finding in plain language with OWASP/CWE references, risk context, and remediation guidance.

files

array

fix_code

Evaluate code and apply all available auto-fix patches. Returns fixed code with applied/remaining summary.

get_finding_stats

Finding lifecycle statistics: open, fixed, recurring, and triaged counts plus trends.

get_suppression_analytics

Analyze suppression patterns: FP rates by rule, suppression rates, auto-suppress candidates.

includeAstFindings

boolean

keepClone

boolean

language

string

list_triaged_findings

List triaged findings, optionally filtered by triage status.

number

number

number

number

number

mustFixDangerousRulePrefixes

string[]

number

string

enum

Record user feedback (true-positive, false-positive, wont-fix) to calibrate confidence scores.

repoUrl

string

triage_finding

Set triage status of a finding (accepted-risk, deferred, wont-fix, false-positive) with attribution.