# voting-mcp

> Use this tool when you need to aggregate individual preferences or votes to make a collective decision, solving problems such as group decision-making and consensus-building. It takes individual votes or rankings as input and outputs a collective choice, providing a more accurate outcome than a simple majority vote. Ideal for use in situations where multiple stakeholders have differing opinions, such as elections, surveys, or committee decisions.

Canonical page: https://skillsregistry.net/skills/hrishikabra-voting-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hrishikabra-voting-mcp

## Description

Principled social-choice aggregation as MCP tools — with a benchmark that measures the accuracy lift over naive majority vote.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f1916l05n9)
- **Repository:** <https://github.com/HrishiKabra/voting-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": "hrishikabra-voting-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hrishikabra-voting-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hrishikabra-voting-mcp/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