MCP 服务器

biascope

MCP server for scanning AI systems and code for demographic, occupational, and geographic biases. Enables CI integration and AI agent-driven bias detection.

README

BIASCOPE — Embedded bias probe suite — demographic / occupational / geographic

Part of the Cognis Neural Suite by Cognis Digital Cognis Open Collaboration License (COCL) v1.0 · domain: ai-security

Embedded bias probe suite — demographic / occupational / geographic.

AI Security & Governance — securing LLMs, agents, and the MCP supply chain.

Why

Security and intelligence teams need embedded bias probe suite — demographic / occupational / geographic without standing up heavyweight infrastructure. biascope is single-purpose, scriptable, CI-friendly, and self-hostable: point it at a target, get prioritized findings in the format your workflow already speaks (table, JSON, SARIF, HTML), and wire it into agents over MCP when you want it autonomous.

Install

pip install cognis-biascope
# or, from this repo:
pip install -e ".[dev]"

Quick start

biascope --version
biascope scan demos/                      # run against the bundled demo
biascope scan demos/ --format sarif --out r.sarif --fail-on high
biascope scan demos/ --format html --out report.html
biascope mcp                              # expose as an MCP server (Cognis.Studio / Claude Desktop / Cursor)

Built-in demo scenarios

Each scenario folder includes a SCENARIO.md describing the situation and the findings to expect.

Output formats

Table (default) — human-readable terminal summary
JSON — machine-readable findings for pipelines
SARIF — drops into GitHub code-scanning / IDE problem panes
HTML — shareable report with severity rollups

Credits / Built on

Cognis composes and credits the best of open source. This tool builds on / interoperates with:

stanford-crfm/helm — probe data
nyu-mll/BBQ — bias benchmark

Missing a credit? Open a PR — see CONTRIBUTING.md.

How it fits the Cognis Neural Suite

biascope is one of 52 tools in the Cognis Neural Suite. Every tool ships an MCP server, so Cognis.Studio agents can call them as scoped capabilities.

Sibling tools in ai-security: aegis, promptmirror, ledgermind, adversa, guardpost, hallumark, aicard, mcpharden, agentlog, ragshield

Architecture & roadmap

Design notes: docs/ARCHITECTURE.md
Planned work: ROADMAP.md

Contributing

PRs, new detections, and demo scenarios are welcome under the collaboration-pull model. See CONTRIBUTING.md and SECURITY.md.

License

Source-available under the Cognis Open Collaboration License (COCL) v1.0 — free for personal, internal-evaluation, research, and educational use; commercial / production use requires a license (licensing@cognis.digital). See LICENSE.

Responsible use

This is dual-use security software. Use it only against systems, data, and identities you own or are explicitly authorized in writing to test, and in compliance with applicable law.