# abac-validation-mcp-server

> abac-validation-mcp-server — shivamsehgal-afk-abac-validation-mcp-server. Use this tool when you need to validate and review Attribute-Based Access Control code with AI assistance, especially for large-scale or complex access control policies. It solves problems of manual code review and validation, providing batch processing and progress notifications for efficient operation. The tool accepts access control code as input and outputs validation results, making it ideal for use cases requiring automated code review and security auditing.

Canonical page: https://skillsregistry.net/skills/shivamsehgal-afk-abac-validation-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/shivamsehgal-afk-abac-validation-mcp-server

## Description

Enables AI-assisted Attribute-Based Access Control code validation and review, with batch processing and progress notifications for long-running operations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/da2i0dcirc)
- **Repository:** <https://github.com/shivamsehgal-afk/abac-validation-mcp-server>

## 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": "shivamsehgal-afk-abac-validation-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shivamsehgal-afk-abac-validation-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shivamsehgal-afk-abac-validation-mcp-server/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