# Nova Act MCP Server

> Use this tool when you need to automate web browser interactions, such as navigation, data extraction, and form filling, and integrate these capabilities into AI workflows through the Model Context Protocol. It solves problems like web data extraction, automated form submission, and browser-based task automation, providing a programmatic interface for AI agents to interact with web applications. Inputs include MCP requests, and outputs include extracted data and automation results.

Canonical page: https://skillsregistry.net/skills/aws-samples-sample-agents-with-nova-act-and-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aws-samples-sample-agents-with-nova-act-and-mcp

## Description

Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k4kypg7qns)
- **Repository:** <https://github.com/aws-samples/sample-agents-with-nova-act-and-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": "aws-samples-sample-agents-with-nova-act-and-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aws-samples-sample-agents-with-nova-act-and-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aws-samples-sample-agents-with-nova-act-and-mcp/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
