# SNS DAO

> Use this tool when you need to interact with Service Nervous System (SNS) DAOs on the Internet Computer blockchain, managing governance activities such as proposal listing, votable neuron management, and voting. It provides a standardized interface for executing these actions, accepting inputs like proposal IDs and neuron configurations, and outputting relevant data like system parameters and vote results. Ideal for DAO participants seeking to monitor and participate in governance through natural language interaction.

Canonical page: https://skillsregistry.net/skills/sns-dao  
JSON: https://api.skillsregistry.net/v1/skills/sns-dao

## Description

A server implementation for interacting with Service Nervous System (SNS) DAOs on the Internet Computer blockchain. Built with TypeScript, it provides tools for listing proposals, managing votable neurons, retrieving system parameters, and executing votes through a standardized interface. Particularly valuable for DAO participants who need to monitor and participate in governance activities through natural language interaction.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sns-dao)
- **Repository:** <https://github.com/baolongt/sns-mcp-server>

## 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": "sns-dao"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sns-dao` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sns-dao/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