Explainability Report Mcp
explainability-report-mcp is an MCP server that produces AI explainability and transparency reports—including scans and model cards—via agent tools.
About
explainability-report-mcp is a Model Context Protocol server focused on AI explainability and transparency reporting—registry text cites instant transparency scans, model cards, and related deliverables for AI agents. developers shipping copilots, RAG apps, or workflow agents often lack time to draft consistent documentation for users, investors, or compliance questionnaires. Wiring this MCP into Claude Code or Cursor lets the agent pull structured explainability artifacts through tool calls instead of free-form prose that drifts each release. It is an MCP integration for documentation and transparency workflows, not a substitute for legal review or formal algorithmic impact assessments unless your deployment maps tools to those standards. Use it when you are hardening an AI feature for ship and need repeatable narrative around behavior, limitations, and data use.
- Stdio MCP server explainability-report-mcp v1.0.8 on PyPI
- Instant transparency scan and model-card style outputs for AI agents
- Designed for AI explainability and transparency reporting workflows
- Fits solo builders documenting how their agent features behave
- MEOK AI Labs / CSOAI-ORG registry entry with stdio transport
Explainability Report Mcp by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
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| Package | explainability-report-mcp |
|---|---|
| Transport | STDIO |
| Auth | None |
What it does
Generate explainability scans, model cards, and transparency reports before you ship AI features to users or reviewers.
Who is it for?
Best when you're launching agent or LLM features and need fast, structured explainability documentation inside your MCP workflow.
Skip if: Skip if you're without any AI surface area, or orgs that require certified third-party audits only.
What you get
After install, your agent can run transparency scans and assemble explainability reports so release notes and trust pages stay aligned with each version.
- Transparency scan results via MCP tools
- Model-card or explainability report artifacts suitable for docs or trust pages
- Repeatable pre-ship documentation step in the agent workflow
By the numbers
- Registry version 1.0.8
- Transport: stdio
- PyPI identifier: explainability-report-mcp
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Transparency and model-card MCP tooling, not a general penetration-testing skill.
FAQ
Who is explainability-report-mcp for?
Developers and small teams shipping AI agents or LLM features who want explainability and model-card outputs from their coding agent.
When should I use explainability-report-mcp?
Use it during ship and security prep when you need transparency scans or documentation before beta, launch, or customer security reviews.
How do I add explainability-report-mcp to my agent?
Install the PyPI package explainability-report-mcp v1.0.8, add the stdio MCP server to your host config, restart the client, and invoke the explainability tools from your agent.