qc-validator-mcp

Runtime quality validation for AI agent outputs. Detect hallucinations, enforce scope compliance, and score output quality — all via MCP.

Install

npx qc-validator-mcp

Claude Desktop

{
  "mcpServers": {
    "qc-validator": {
      "command": "npx",
      "args": ["qc-validator-mcp"]
    }
  }
}

Tools

validate_output

Score agent output against configurable criteria: length limits, required keywords, forbidden patterns, and factual claim density.

Params: output, task_description, criteria { max_length, required_keywords[], forbidden_patterns[], factual_claims_count }
Returns: { pass, score, issues[], recommendation }

check_hallucination_risk

Estimate hallucination likelihood. With source text, checks sentence-level grounding. Without source, flags outputs dense with specific numbers, dates, and URLs.

Params: output, source_text (optional), claim_count (default 5)
Returns: { risk_level, unsupported_claims[], confidence, suggestion }

check_scope_compliance

Validate output against a scope contract — allowed/forbidden topics, word limits, required sections.

Params: output, scope { allowed_topics[], forbidden_topics[], max_words, required_sections[] }
Returns: { compliant, violations[], scope_utilization_percent }

log_validation

Store validation results for per-agent trending.

Params: agent_id, output_hash, score, pass, issues_count
Returns: { logged, agent_id, total_validations }

get_failure_patterns

Analyze common failure modes for a specific agent.

Params: agent_id
Returns: { total_validations, pass_rate, avg_score, most_common_issues[], trend }

generate_quality_report

Quality dashboard across all validated agents — no parameters required.

Returns: { total_agents, overall_pass_rate, agents[], worst_performers[], best_performers[], recommendations[] }

Resource

• qc://dashboard — Quality metrics for all validated agents

Architecture

• Pure Node.js ES modules
• In-memory Maps (no external dependencies)
• stdio transport via @modelcontextprotocol/sdk
• Zero configuration required

License

MIT