# biascope

> Use this tool when you need to identify and mitigate biases in AI systems and code, solving problems of unfair representation and discrimination in demographic, occupational, and geographic contexts. Biascope takes in AI models and code as input and outputs bias detection reports, enabling continuous integration and AI agent-driven bias detection. It is ideal for use in development and deployment pipelines where fairness and transparency are crucial.

Canonical page: https://skillsregistry.net/skills/cognis-digital-biascope  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-biascope

## Description

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

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/is60nna8x5)
- **Repository:** <https://github.com/cognis-digital/biascope>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cognis-digital-biascope"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-biascope` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-biascope/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt