biascope

biascope

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

Category
Visit Server

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

PyPI CI License: COCL 1.0 Suite

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:

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

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.

About

Cognis Digital — Wyoming, USA · Making Tomorrow Better Today: Advanced Cybersecurity, AI Innovation, and Blockchain Expertise.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured