AI observability, explainability and governance: drift, fairness, ISO 42001, risk register.
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io.github.AgentaFlow/whiteboxxai-mcp is an MCP server that AI observability, explainability and governance: drift, fairness, ISO 42001, risk register. Its tool list has not been published yet over http and stdio, requires no API key, and scores 60/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"io-github-agentaflow-whiteboxxai-mcp": {
"args": [
"whiteboxxai-mcp"
],
"command": "uvx"
}
}
}Are you the author?
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AI observability, explainability and governance: drift, fairness, ISO 42001, risk register.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
Five weighted categories - click any category to see the underlying evidence.
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An MCP (Model Context Protocol) server that exposes
WhiteBoxXAI observability and explainability capabilities —
model registry, Git-backed model diffing, prediction logging, drift detection, bias/fairness auditing,
ISO/IEC 42001 readiness and compliance evidence, AI Risk Register / governance review queries, prompt
governance, asynchronous SHAP/LIME explanation generation, LLM explainability (attention/token-importance/sensitivity/counterfactual
analysis and prompt debugging), LLM call monitoring (token/cost/latency tracking), RAG pipeline
monitoring, content safety analysis, alert rules and triage context, alert intelligence,
alert management, multi-agent workflow tracking, and model performance metrics (197 tools across 18 domains) — to any
MCP-compatible client (Claude Desktop, Claude Code, LangChain, custom agent harnesses,
etc.). Supports MCP Apps (ui:// resources) with sandboxed interactive audit cards,
stdio transport, and Streamable HTTP transport (hosted at https://api.whiteboxxai.com/mcp/).
See the integration docs for full setup,
connection examples, the tool reference, and known v1 limitations. See examples/
for runnable LangChain, Semantic Kernel, and raw-MCP-client integrations.
pip install whiteboxxai-mcp
Configure a credential via environment variables, then run the console script.
Stdio transport authenticates via WHITEBOXXAI_MCP_API_KEY:
# An API key generated from the WhiteBoxXAI dashboard's Settings > API Keys tab.
# Never expires on a fixed schedule -- only when explicitly revoked -- and doesn't require storing a password.
export WHITEBOXXAI_MCP_API_BASE_URL="https://api.whiteboxxai.com"
export WHITEBOXXAI_MCP_API_KEY="wbx_live_..."
whiteboxxai-mcp
Point your MCP client at this command (e.g. in Claude Desktop's mcpServers config,
or Claude Code's .mcp.json).
For hosted Streamable HTTP (https://api.whiteboxxai.com/mcp/), pass your API key or personal
JWT in the Authorization: Bearer <token> header.
To have a coding agent set this up and call the tools correctly, give it the whitebox-mcp-server
skill (and whitebox-governance-rules). They are published at
https://whiteboxxai.com/skills/index.md. The tool list they reference is pinned in
tests/mcp_inspector_snapshot.json; a rename or removal
of a tool shows up as a diff there.
This package follows Semantic Versioning; see
CHANGELOG.md for release history. Self-hosted stdio usage (above) is
best-effort supported; the hosted /mcp/ HTTP endpoint is a product surface whose
support/SLA follows the caller's underlying Free/Business Cloud plan.
WHITEBOXXAI_MCP_API_KEY — a scoped, revocable
credential that isn't tied to a human account's password or session lifecycle.
Hosted Streamable HTTP (https://api.whiteboxxai.com/mcp/) accepts an API key or personal JWT.whitebox_alerts_*),
alert intelligence (whitebox_alert_intelligence_*, 20 tools), and alert management
(whitebox_alert_management_*, 13 tools).