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Explainability Report MCP

Explainability Report MCP

by CSOAI-ORG
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

MCP Scorecard: 74/100

mcp-name: io.github.CSOAI-ORG/explainability-report-mcp

Explainability Report MCP

MEOK AI Labs GSPC License PyPI

By [MEOK AI Labs](https://meok

By MEOK AI Labs | The only MCP server for AI explainability and transparency reports.

šŸš€ Quick Start

# Install via pip
pip install explainability_report_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install explainability-report-mcp --client claude

Related MCP server: Consciousness Engine MCP

āœØ Features

  • MCP protocol compliant

  • Easy installation

  • Well-documented API

  • Production-ready

  • Active maintenance

šŸ“– Documentation

šŸ›”ļø Compliance

This MCP server is built with EU AI Act compliance built-in:

  • āœ… Article 9 ā€” Risk Management System

  • āœ… Article 13 ā€” Transparency & Instructions for Use

  • āœ… Article 15 ā€” Bias Detection & Testing

  • āœ… Article 26 ā€” FRIA Support (where applicable)

  • āœ… Article 50 ā€” AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic ā†’

šŸ¢ Enterprise

Need custom development, SLA guarantees, or white-label deployment?

  • Pro: $99/mo ā€” Full MCP suite + EU AI Act tracking

  • Enterprise: $499/mo ā€” Custom dev + SLA + Dedicated support

View Pricing ā†’ | Contact Sales ā†’

šŸ¤ Part of the MEOK Ecosystem

This server is part of the MEOK AI Labs ecosystem ā€” 300+ MCP servers for sovereign AI governance.

Domain

Purpose

councilof.ai

EU AI Act compliance marketplace

safetyof.ai

AI safety & monitoring

meok.ai

Sovereign AI platform

cobolbridge.ai

Legacy modernization

šŸ“œ License

MIT Ā© CSOAI-ORG

Pairs with MEOK Governance Suite

Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool ā€” EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.

# One-shot install of the governance pack
npx meok-setup --pack governance

Free tier: 10 calls/day per MCP. Pro tier (Ā£79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.

ā†’ Full catalogue: councilof.ai/catalogue ā†’ MEOK AI Labs: meok.ai

šŸ’ø Try MEOK in 30 seconds ā€” instant buy ladder

Tier

Price

What you get

Stripe

Smoke test

Ā£1

Signed sample MCP-Hardening report + Article 50 PDF

https://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t

Quick Kit

Ā£9

EU AI Act Article 50 implementation guide (C2PA + EU-Icon)

https://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t

Founder Call

Ā£29

30-min 1-on-1 with the founder

https://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t

Refundable. UK Stripe ā€” VAT-clean. Builds on the 81-MCP MEOK fleet. Verify any signed report at https://meok.ai/verify.

See also

MEOK compliance MCP fleet: meok-watermark-attest-mcp

Configuration

Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:

{
  "mcpServers": {
    "explainability-report-mcp": {
      "command": "uvx",
      "args": ["explainability-report-mcp"]
    }
  }
}

Or: pip install explainability-report-mcp then run the explainability-report-mcp command (stdio transport).

Examples

Once configured, ask your assistant, for example:

  • "Use quick_scan to ā€¦"

  • "Use generate_model_card to ā€¦"

  • "Use explain_decision to ā€¦"

Available Tools

5 tools
create_impact_assessmentA

Generate a DPIA/AIIA (AI Impact Assessment) template for an AI system.

Args: system_name: Name of the AI system. affected_groups: Comma-separated list of affected groups (e.g. "employees,customers,public"). Leave empty for generic template. api_key: Optional MEOK API key for pro tier.

Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.

When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standards.

When NOT to use: Not suitable for real-time production decision-making without human review of results.

Inputs: system_name (required), affected_groups, api_key.

explain_decisionA

Generate a human-readable explanation of an AI decision.

Args: decision: The AI decision or prediction to explain (e.g. "Loan application denied"). factors: Comma-separated contributing factors (e.g. "credit_score:620,income:35000,debt_ratio:0.45"). Leave empty for generic guidance. api_key: Optional MEOK API key for pro tier.

Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.

When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standards.

When NOT to use: Not suitable for real-time production decision-making without human review of results.

Inputs: decision (required), factors, api_key.

generate_model_cardA

Generate an EU AI Act compliant model card with structured transparency information.

Args: model_name: Name of the AI model or system. purpose: Description of the model's intended purpose. training_data: Description of training data used (leave empty if not available). api_key: Optional MEOK API key for pro tier.

Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.

When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standards.

When NOT to use: Not suitable for real-time production decision-making without human review of results. Behavioral Transparency: - Side Effects: This tool is read-only and produces no side effects. It does not modify any external state, databases, or files. All output is computed in-memory and returned directly to the caller. - Authentication: No authentication required for basic usage. Pro/Enterprise tiers require a valid MEOK API key passed via the MEOK_API_KEY environment variable. - Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are included in responses (X-RateLimit-Remaining, X-RateLimit-Reset). - Error Handling: Returns structured error objects with 'error' key on failure. Never raises unhandled exceptions. Invalid inputs return descriptive validation errors. - Idempotency: Fully idempotent ā€” calling with the same inputs always produces the same output. Safe to retry on timeout or transient failure. - Data Privacy: No input data is stored, logged, or transmitted to external services. All processing happens locally within the MCP server process.

Inputs: model_name (required), purpose (required), training_data, api_key.

quick_scanA

Describe an AI system -> instant transparency and explainability assessment. No API key required.

Behavior: This tool is read-only and stateless ā€” it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.

When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standards.

When NOT to use: Not suitable for real-time production decision-making without human review of results. Behavioral Transparency: - Side Effects: This tool is read-only and produces no side effects. It does not modify any external state, databases, or files. All output is computed in-memory and returned directly to the caller. - Authentication: No authentication required for basic usage. Pro/Enterprise tiers require a valid MEOK API key passed via the MEOK_API_KEY environment variable. - Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are included in responses (X-RateLimit-Remaining, X-RateLimit-Reset). - Error Handling: Returns structured error objects with 'error' key on failure. Never raises unhandled exceptions. Invalid inputs return descriptive validation errors. - Idempotency: Fully idempotent ā€” calling with the same inputs always produces the same output. Safe to retry on timeout or transient failure. - Data Privacy: No input data is stored, logged, or transmitted to external services. All processing happens locally within the MCP server process.

Inputs: description (required).

transparency_auditA

Assess an AI system against EU AI Act Article 13 transparency requirements.

Args: system_description: Detailed description of the AI system including its purpose, capabilities, data, and deployment context. api_key: Optional MEOK API key for pro tier.

Behavior: This tool is read-only and stateless ā€” it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.

When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standards.

When NOT to use: Not suitable for real-time production decision-making without human review of results. Behavioral Transparency: - Side Effects: This tool is read-only and produces no side effects. It does not modify any external state, databases, or files. All output is computed in-memory and returned directly to the caller. - Authentication: No authentication required for basic usage. Pro/Enterprise tiers require a valid MEOK API key passed via the MEOK_API_KEY environment variable. - Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are included in responses (X-RateLimit-Remaining, X-RateLimit-Reset). - Error Handling: Returns structured error objects with 'error' key on failure. Never raises unhandled exceptions. Invalid inputs return descriptive validation errors. - Idempotency: Fully idempotent ā€” calling with the same inputs always produces the same output. Safe to retry on timeout or transient failure. - Data Privacy: No input data is stored, logged, or transmitted to external services. All processing happens locally within the MCP server process.

Inputs: system_description (required), api_key.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelogā€¦

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    TDQS

    A4.4/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool has a distinct purpose (impact assessment, decision explanation, model card, quick scan, transparency audit). However, quick_scan and transparency_audit both assess transparency, with descriptions that are somewhat overlapping, potentially causing confusion for an agent.

    Naming Consistency3/5

    Most tools use verb_noun pattern (create_, explain_, generate_), but quick_scan uses adjective_noun and transparency_audit is noun_noun, breaking consistency. The naming is readable but not uniform.

    Tool Count5/5

    With 5 tools covering key explainability tasks (impact assessment, decision explanation, model card, scan, audit), the count is well-suited for the server's purpose, not too many or too few.

    Completeness4/5

    The tool set covers major explainability report needs (DPIA, model cards, decision explanations, transparency audits). Minor gaps exist (e.g., no tool for bias detection or combined summary), but core capabilities are present.

    Maintenance

    ActivityNo data
    ResponsivenessOutdated data

    Resources

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