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explainability-report-mcp

MCP server by github.com/csoai-org/explainability-report-mcp

AI explainability and transparency reports for AI agents. Instant transparency scan, model cards, de

1 starspypi: explainability-report-mcp

About explainability-report-mcp

explainability-report-mcp is an MCP (Model Context Protocol) server published by csoai-org in the official MCP registry, listed under Autonomous Agents on Loomal. AI explainability and transparency reports for AI agents. Instant transparency scan, model cards, de

It ships as a Python package on PyPI (explainability-report-mcp), so any MCP client that can launch a local process can run it.

Development happens in the open at github.com/csoai-org/explainability-report-mcp, where the project has earned 1 GitHub stars.

Use explainability-report-mcp with your agent

Claude Code · one command
claude mcp add explainability-report-mcp -- uvx explainability-report-mcp
Claude Desktop, Cursor & other MCP clients · config
{
  "mcpServers": {
    "explainability-report-mcp": {
      "command": "uvx",
      "args": [
        "explainability-report-mcp"
      ]
    }
  }
}
pypiexplainability-report-mcp

Frequently asked questions

What is explainability-report-mcp?
explainability-report-mcp is an MCP (Model Context Protocol) server by csoai-org in the Autonomous Agents category. AI explainability and transparency reports for AI agents. Instant transparency scan, model cards, de
How do I connect explainability-report-mcp to Claude, Cursor, or another MCP client?
Install explainability-report-mcp from its pypi package (explainability-report-mcp) and register it under "mcpServers" in your client's MCP configuration — for example claude_desktop_config.json or Cursor's mcp.json — then restart the client.
Is explainability-report-mcp open source?
Yes — the source code is public at github.com/csoai-org/explainability-report-mcp, with 1 GitHub stars.
Can AI agents pay to use explainability-report-mcp?
Not yet through Loomal — explainability-report-mcp is listed as a free directory entry. If its maintainer verifies ownership, they can set per-call USDC pricing that agents pay over x402, with settlement on Base.

Listing data from the official MCP registry and GitHub, refreshed periodically. Not affiliated with the maintainer unless claimed. Maintain explainability-report-mcp? Claim this listing free by verifying GitHub ownership, or contact us.