MCP Server

The Autobound MCP (Model Context Protocol) server lets AI assistants like Claude, Cursor, and any MCP-compatible client query your signal data directly. Ask natural language questions about companies and contacts — the AI agent calls our API autonomously.

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Beta: The MCP server is in beta. We'd love your feedback — reach out to [email protected].

What is MCP?

Model Context Protocol is an open standard from Anthropic that lets AI assistants connect to external tools and data sources. Instead of copying API responses into chat, your AI assistant queries Autobound directly.

Example: Ask Claude "What hiring signals has Salesforce shown in the last 90 days?" — it calls our search API, gets structured results, and reasons about them in real time.

Quick Start

Prerequisites

• Node.js 18+
• An Autobound API key (get one here)

Install

npm install -g @autobound/mcp-server

Or run directly with npx (no install needed):

npx @autobound/mcp-server

Configuration

Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "autobound-signals": {
      "command": "npx",
      "args": ["-y", "@autobound/mcp-server"],
      "env": {
        "AUTOBOUND_API_KEY": "your-api-key-here"
      }
    }
  }
}

Restart Claude Desktop after saving.

Cursor

Add to .cursor/mcp.json in your project or global config:

{
  "mcpServers": {
    "autobound-signals": {
      "command": "npx",
      "args": ["-y", "@autobound/mcp-server"],
      "env": {
        "AUTOBOUND_API_KEY": "your-api-key-here"
      }
    }
  }
}

Other MCP Clients

Any MCP-compatible client works. Set the command to npx -y @autobound/mcp-server and provide AUTOBOUND_API_KEY as an environment variable.

Environment Variables

Available Tools

The MCP server exposes the full Signal API:

Example Prompts

Once connected, try asking your AI assistant:

• "Search for 10-K filing signals for Apple in the last 6 months"
• "What hiring signals has Stripe shown recently?"
• "Get a company timeline for Salesforce"
• "Find Reddit mentions of Snowflake"
• "Enrich the contact [email protected] with all available signals"
• "Set up a webhook for new earnings call signals"
• "Which companies are showing intent for AI infrastructure?"

Troubleshooting

What's Next

• Streaming responses for large result sets
• Multi-agent workflow support
• Pre-built prompt templates for common sales workflows

Need help? Email [email protected] or reach out in your Slack Connect channel.