# LLM Gateway

> Use this tool when you need to interact with multiple AI models through a single interface, solving integration and complexity problems for AI agents. The LLM Gateway takes in model requests and outputs relevant responses, enabling seamless communication with 15+ Bedrock models. Ideal for use cases requiring diverse AI model interactions, such as natural language processing and machine learning applications.

Canonical page: https://skillsregistry.net/skills/leonachata-bedrock-gateway  
JSON: https://api.skillsregistry.net/v1/skills/leonachata-bedrock-gateway

## Description

Centralized gateway for multiple AWS Bedrock models through the Model Context Protocol (MCP), enabling AI agents to interact with 15+ Bedrock models like Nova, Claude, Llama, and Mistral.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d0bfm3o045)
- **Repository:** <https://github.com/LeonAchata/Bedrock-Gateway>

## 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": "leonachata-bedrock-gateway"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leonachata-bedrock-gateway` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leonachata-bedrock-gateway/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