@askaudience/mcp-server

Name: @askaudience/mcp-server
Author: askaudience

Ask 10,000+ synthetic European personas grounded in real survey data (ESS & WVS). Create target audiences, run surveys, compare segments, and interview individual AI twins — all via MCP tools for Claude, Cursor, Windsurf, and other AI assistants.

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

模型生成摘要（rules/v1 · 2026-09-27 16:14）：Ask 10,000+ synthetic European personas grounded in real survey data (ESS & WVS)
这是模型对公开材料的总结，不是官方声明，请以原链内容为准。

接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://mcp-askaudience.run.tools

鉴权方式未标注，请核对官方文档后再接入——不要直接使用以下片段

{
  "mcpServers": {
    "@askaudience/mcp-server": {
      "url": "https://mcp-askaudience.run.tools"
    }
  }
}

能力清单

工具	说明
audiences.create	Create a new synthetic target audience composed of AI twins grounded in real European survey respondents (ESS & WVS). Returns the audience ID, total matching twins, and how many were sampled. Cost: 10 credits.
audiences.ask	Ask a question to a target audience and receive aggregated responses from synthetic twins. Returns individual answers, a distribution summary, and average confidence/grounding scores. Cost: 5 credits per twin in the sample.
audiences.compare	Ask the same question to multiple target audiences and compare responses side-by-side. Ideal for A/B testing messaging, pricing, or positioning across segments. Cost: 5 credits × sample size × number of audiences.
audiences.export	Export audience demographic data as JSON or CSV. Returns safe demographics only (no internal AI persona data). Useful for importing into spreadsheets or BI tools. Cost: 10 credits.
digital_humans.search	Search for individual synthetic personas (AI twins) by free-text query and optional demographic filters. Returns name, age, gender, location, job title, and grounding score for each match. Cost: 5 credits.
digital_humans.ask	Ask a single synthetic persona (AI twin) a question and get a grounded response that reflects their demographics, values, and survey history. Optionally request the twin's reasoning process. Cost: 5 credits.
usage.get	Check current credit usage, remaining credits, plan limits, and API request statistics. Use this to monitor consumption before running expensive operations. No credits consumed.

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