# bedrock-mcp-agent

> bedrock-mcp-agent — sezicz-bedrock-mcp-agent. Use this tool when you need to manage notes and vectors for large language models (LLMs) in a serverless environment. It solves problems related to scalable note management and vector storage, providing a seamless interface for inputting and outputting data through Lambda-hosted MCP servers and S3-based storage. Ideal for use cases requiring efficient and provisioned LLM agent deployment, such as git-based projects.

Canonical page: https://skillsregistry.net/skills/sezicz-bedrock-mcp-agent  
JSON: https://api.skillsregistry.net/v1/skills/sezicz-bedrock-mcp-agent

## Description

Serverless Bedrock LLM agent leveraging Lambda-hosted MCP servers for note management, utilizing S3-based vector storage and provisioned through Python CDK.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/seziCZ/bedrock-mcp-agent)

## 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": "sezicz-bedrock-mcp-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sezicz-bedrock-mcp-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sezicz-bedrock-mcp-agent/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