# AWS Bedrock Guardrails

> Use this tool when you need to manage AWS Bedrock Guardrails for conversational AI safety and compliance, solving problems such as content filtering, sensitive information detection, and policy configuration. It provides a programmatic interface for CRUD operations on guardrail policies, accepting inputs like policy configurations and generating outputs like Terraform export files for infrastructure-as-code workflows. Ideal for use in enterprise environments where DevOps teams require seamless integration between AI management and deployment pipelines.

Canonical page: https://skillsregistry.net/skills/mohdhaji87-aws-bedrock-guardrails  
JSON: https://api.skillsregistry.net/v1/skills/mohdhaji87-aws-bedrock-guardrails

## Description

This MCP server provides AI assistants with complete AWS Bedrock Guardrails management capabilities, built using Python with boto3 and FastMCP for programmatic control over all guardrail policy types including content filtering, topic restrictions, word blocking, sensitive information detection, and contextual grounding policies. The implementation offers full CRUD operations for guardrails with support for all AWS policy configurations, plus a unique Terraform export feature that generates CloudFormation-compatible .tf files for infrastructure-as-code workflows, enabling seamless integration between conversational AI management and DevOps deployment pipelines. Built with secure environment-based AWS credential handling and comprehensive error management, it serves enterprise teams needing natural language access to Bedrock safety controls, DevOps engineers requiring AI-driven guardrail configuration with IaC export capabilities, and compliance teams where conversational policy management enhances LLM safety governance without direct AWS console knowledge.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mohdhaji87-aws-bedrock-guardrails)
- **Repository:** <https://github.com/mohdhaji87/aws-bedrock-guardrails-mcp>

## 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": "mohdhaji87-aws-bedrock-guardrails"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mohdhaji87-aws-bedrock-guardrails` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mohdhaji87-aws-bedrock-guardrails/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