# AWS Bedrock

> Use this tool when you need to integrate Anthropic's Model Context Protocol (MCP) with Amazon's Bedrock service for seamless interaction between AI models and scalable infrastructure. It solves problems in natural language processing, task automation, and AI-assisted decision making by enabling the combination of MCP and Bedrock capabilities. The tool takes in MCP-enabled tools and outputs compatible interactions with Bedrock's runtime service, particularly using the Nova Pro model, making it ideal for developers seeking to leverage both protocols' strengths.

Canonical page: https://skillsregistry.net/skills/davidshtian-aws-bedrock-integration  
JSON: https://api.skillsregistry.net/v1/skills/davidshtian-aws-bedrock-integration

## Description

This AWS Bedrock MCP implementation, developed by Anthropic, provides a seamless integration between Anthropic's Model Context Protocol and Amazon's Bedrock service. Built with Python using boto3 and the MCP SDK, it offers a client that can interact with MCP-enabled tools through Bedrock's runtime service, specifically using the Nova Pro model. The implementation features tool format conversion for Bedrock compatibility, asynchronous communication handling, and structured logging. By bridging MCP and Bedrock, it enables AI systems to leverage both protocols' strengths, making it particularly useful for developers looking to combine Anthropic's MCP capabilities with AWS's scalable infrastructure for applications in natural language processing, task automation, and AI-assisted decision making.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-04-25

## Source

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

## 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": "davidshtian-aws-bedrock-integration"
    }
  }
}
```

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

---
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