# JamPolls

> Use this tool when you need to create and manage interactive content like polls, surveys, and quizzes to gather audience insights. JamPolls solves problems related to audience engagement, feedback collection, and content creation, providing valuable intelligence for creators and brands. It accepts natural language inputs and supports OAuth and API key authentication, making it a versatile solution for various use cases.

Canonical page: https://skillsregistry.net/skills/jampolls  
JSON: https://api.skillsregistry.net/v1/skills/jampolls

## Description

JamPolls is a next-generation audience intelligence platform for creators and brands. Its MCP server exposes 51 tools across six categories for creating and managing polls, surveys, quizzes, Q&A sessions, and word clouds via natural language. Supports OAuth for Claude.ai and API key authentication for Cursor, Windsurf, and other MCP clients. GDPR compliant with free and pro tiers.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jampolls)

## 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": "jampolls"
    }
  }
}
```

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