
Signal Relay
io.github.SocioLogicAI由 GitHub 帳號 SocioLogicAI 發布v2.0.0更新於 Nov 2, 2026
Connect AI agents to SocioLogic's synthetic persona platform for market research.
概覽
將助理連接到 SocioLogic 的合成人物平台,可訪談 AI 人物、執行研究專案並匯出報告。
- 可以做什麼
- 瀏覽、檢視並建立合成人物,並擷取其語意記憶
- 建立、執行並匯出多人物研究專案,支援 PDF 或 JSON 輸出
- 將人物組成焦點小組並加入成員
- 搜尋網路並跨多個來源研究主題
- 查詢點數餘額與用量
- 適用情境
- 適合需要模擬顧客人物提供市場調查式回饋,或想在聊天用戶端中執行並匯出多人物訪談專案、而不必使用 SocioLogic 後台的場合。
- 執行需求
- 需要 SocioLogic 帳號與 API 金鑰,透過 X-API-Key 標頭(或 Bearer 權杖)傳送。建議使用託管端點;自架需 Node.js 18+ 與 Cloudflare 帳號。各項操作會消耗點數。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Signal Relay,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.SocioLogicAI%2Fsignal-relay/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"signal-relay": {
"type": "http",
"url": "https://mcp.sociologic.ai/"
}
}
}README
Signal Relay - SocioLogic MCP Server
A remote MCP (Model Context Protocol) server that connects AI agents to SocioLogic's synthetic persona platform. Interview realistic customer personas, run multi-persona research campaigns, and export board-ready reports—all through natural conversation.
Features
- 24 MCP Tools - Personas, campaigns, focus groups, web research, RNG, credits, and payments
- High-Fidelity Personas - Synthetic personas with consistent demographics, psychographics, and behavior
- Semantic Memory - RAG-powered memory retrieval for persona continuity across conversations
- Edge Deployed - Runs on Cloudflare Workers (300+ locations, <50ms latency)
- Secure - API key authentication, request validation, no data stored on edge
Quick Start
Use the Hosted Server (Recommended)
The fastest way to get started is using our hosted server at https://mcp.sociologic.ai.
-
Get an API key at sociologic.ai/dashboard/api-keys (100 free credits on signup)
-
Configure your MCP client:
Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
Claude Code (.mcp.json in your project):
- Start chatting! Ask Claude to interview personas, create campaigns, or explore the marketplace.
Self-Hosting
Deploy your own instance to Cloudflare Workers:
Prerequisites
- Node.js v18+
- Cloudflare account (free tier works)
Installation
Your server will be available at https://sociologic-mcp-server.<your-subdomain>.workers.dev
Local Development
Starts a local server at http://localhost:8787.
Available Tools
API Endpoints
Example Usage
List Available Personas
Configuration
Environment Variables
wrangler.toml
Security
- API keys are passed via
X-API-Keyheader orAuthorization: Bearerheader - Request size limited to 1MB to prevent DoS
- Input validation via Zod schemas on all tool parameters
- No data stored on edge - all data flows through to the SocioLogic API
Rate Limiting
For production deployments, we recommend enabling Cloudflare's rate limiting:
- Go to Cloudflare Dashboard > Security > WAF > Rate limiting rules
- Create a rule: 100 requests per 10 seconds per IP
Architecture
Pricing
Free tier: 100 credits on signup. See sociologic.ai/pricing for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Links
來源:README.md,提交 2f21229
工具
0版本歷史
1- v2.0.0最新Sep 16, 2026
評分
已滿足適用檢查項的 85%
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