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signal-relay

signal-relay

Remote
github.com/SocioLogicAIBusiness & Marketing0Updated 23w ago
Repository

About signal-relay

signal-relay is a remote MCP server connecting AI agents to SocioLogic’s synthetic persona platform for customer research. It supports persona interviews and research campaigns, with tools for focus groups, web research, and report exports.

Key features

  1. 01Access synthetic customer personas
  2. 02Create and run multi-persona campaigns
  3. 03Organize personas into focus groups
  4. 04Search the web and research topics
  5. 05Export campaign results as PDF or JSON
  6. 06Retrieve persona memories with semantic search

Use cases

  1. 01Interview personas about a product concept
  2. 02Run a campaign with custom research questions
  3. 03Group personas for cohort-based research
  4. 04Export campaign findings for a board report

MCP support

It exposes SocioLogic persona, campaign, focus group, web research, and account tools to MCP clients. Clients connect to the hosted remote server or a self-hosted Cloudflare Workers deployment using API-key authentication.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.sociologic.ai
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.sociologic.aiAuth required
Packages
npmsignal-relay-mcp2.0.0

Tools

Details

From the project 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

Comments

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.