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Signal Relay MCP Server

Developer ToolsUse Caution4.2MCP RegistryLocalRemote
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Server data from the Official MCP Registry

Connect AI agents to SocioLogic's synthetic persona platform for market research.

About

Connect AI agents to SocioLogic's synthetic persona platform for market research.

Remote endpoints: streamable-http: https://mcp.sociologic.ai

Security Report

4.2
Use Caution4.2High Risk

The Signal Relay MCP server is a well-structured remote API client for the SocioLogic platform with proper authentication and reasonable permissions matching its purpose. The codebase demonstrates good security practices including input validation via Zod schemas, proper error handling, and no evidence of malicious patterns. Minor code quality issues (broad exception handling, potential credential exposure in OAuth callback) and standard web service concerns prevent a higher score, but findings are low-severity and do not indicate critical vulnerabilities. Supply chain analysis found 3 known vulnerabilities in dependencies (1 critical, 2 high severity). Package verification found 1 issue.

4 files analyzed · 11 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

Signal Relay - SocioLogic MCP Server

License: MIT MCP

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.

  1. Get an API key at sociologic.ai/dashboard/api-keys (100 free credits on signup)

  2. Configure your MCP client:

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "sociologic": {
      "transport": "http",
      "url": "https://mcp.sociologic.ai",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Claude Code (.mcp.json in your project):

{
  "mcpServers": {
    "sociologic": {
      "transport": "http",
      "url": "https://mcp.sociologic.ai",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}
  1. Start chatting! Ask Claude to interview personas, create campaigns, or explore the marketplace.

Self-Hosting

Deploy your own instance to Cloudflare Workers:

Prerequisites

Installation

# Clone the repository
git clone https://github.com/SocioLogicAI/signal-relay.git
cd signal-relay

# Install dependencies
npm install

# Login to Cloudflare
npx wrangler login

# Deploy
npx wrangler deploy

Your server will be available at https://sociologic-mcp-server.<your-subdomain>.workers.dev

Local Development

npm run dev

Starts a local server at http://localhost:8787.

Available Tools

ToolDescription
sociologic_list_personasList synthetic personas from marketplace or private collection
sociologic_get_personaGet detailed persona information (demographics, psychographics, traits)
sociologic_create_personaGenerate a new persona from natural language description
sociologic_get_persona_memoriesRetrieve persona's semantic memories via vector search
sociologic_list_campaignsList research campaigns with status and results
sociologic_get_campaignGet campaign details including interviews and findings
sociologic_create_campaignCreate multi-persona research campaign with custom questions
sociologic_execute_campaignExecute draft campaign (async background processing)
sociologic_export_campaignExport campaign results as PDF or JSON
sociologic_list_focus_groupsList focus groups for cohort-based research
sociologic_get_focus_groupGet focus group details with member personas
sociologic_create_focus_groupCreate new focus group to organize personas
sociologic_add_personas_to_focus_groupAdd personas to an existing focus group
sociologic_get_credits_balanceCheck current credits balance and usage
sociologic_search_webSearch the web and scrape results
sociologic_research_topicResearch a topic with multiple sources

API Endpoints

EndpointMethodDescription
/POSTJSON-RPC 2.0 endpoint for MCP protocol
/healthGETHealth check (requires API key)
/infoGETServer information and available tools

Example Usage

List Available Personas

curl -X POST https://mcp.sociologic.ai/ \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "sociologic_list_personas",
      "arguments": {
        "visibility": "public",
        "per_page": 10
      }
    }
  }'

Configuration

Environment Variables

VariableDescriptionDefault
SOCIOLOGIC_API_URLBackend API URLhttps://www.sociologic.ai

wrangler.toml

[vars]
SOCIOLOGIC_API_URL = "https://www.sociologic.ai"

Security

  • API keys are passed via X-API-Key header or Authorization: Bearer header
  • 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:

  1. Go to Cloudflare Dashboard > Security > WAF > Rate limiting rules
  2. Create a rule: 100 requests per 10 seconds per IP

Architecture

┌─────────────────┐      ┌─────────────────────┐      ┌─────────────────┐
│                 │      │                     │      │                 │
│   MCP Client    │─────▶│  Cloudflare Worker  │─────▶│  SocioLogic API │
│  (Claude, etc)  │      │   (This Server)     │      │                 │
│                 │◀─────│                     │◀─────│                 │
└─────────────────┘      └─────────────────────┘      └─────────────────┘
        │                         │                          │
        │    MCP Protocol         │    REST API              │
        │    (JSON-RPC 2.0)       │    (HTTPS)               │
        └─────────────────────────┴──────────────────────────┘

Pricing

OperationCredits
List personas1
Get persona1
Create persona5-50 (by fidelity tier)
Interview persona1 per message
Campaign executionVaries by size

Free tier: 100 credits on signup. See sociologic.ai/pricing for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Links

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