Bias Detection Mcp
Wire bias and fairness checks into your coding agent so you can scan prompts, outputs, and demographic-sensitive logic before you ship AI features.
Overview
bias-detection-mcp is a MCP server for the Ship phase that exposes AI bias detection and fairness assessment tools to your coding agent over stdio.
What is this MCP server?
- Stdio MCP server (Python on PyPI, v1.1.3) for agent-driven bias workflows
- Instant bias risk scan oriented toward AI agent and LLM application contexts
- Demographic analysis hooks for fairness assessment conversations in the IDE
- Runs as local MCP over stdio—no separate HTTP service required in server metadata
- CSOAI-ORG maintained package bias-detection-mcp on GitHub
- Server schema version 1.1.3 in registry metadata
- Single PyPI package with stdio transport
- Published under identifier bias-detection-mcp on GitHub CSOAI-ORG
What problem does it solve?
Solo builders often ship LLM features without a lightweight, agent-callable way to flag demographic bias and fairness gaps during implementation.
Who is it for?
Indie AI products that need a practical fairness sanity check in the same workflow where you already run tests and security review.
Skip if: Teams that require certified third-party audits, regulated-industry sign-off, or fully offline evaluation pipelines with no agent mediation.
What do I get? / Deliverables
After you register the server, your agent can run documented bias risk scans and fairness-oriented analysis as part of pre-release security conversations.
- Agent-invokable bias risk scan and fairness assessment tool surface
- Repeatable pre-ship fairness dialogue tied to your MCP session
- Documented stdio MCP integration pattern for Python-based CSOAI servers
Recommended MCP Servers
Journey fit
How it compares
MCP fairness tooling for agents, not a standalone compliance dashboard or a general code linter.
Common Questions / FAQ
Who is bias-detection-mcp for?
Solo and small-team builders shipping agent or LLM-powered apps who want fairness checks callable from Claude Code, Cursor, or other MCP hosts.
When should I use bias-detection-mcp?
Use it in Ship—especially security and launch prep—when you are reviewing model behavior, sensitive attributes, or user-facing AI copy before release.
How do I add bias-detection-mcp to my agent?
Install the PyPI package bias-detection-mcp, add an MCP server entry with stdio transport pointing at that runtime, then restart your agent client so tools appear in the tool list.