Deploytoagents MCP server
{
"mcpServers": {
"deploytoagents": {
"type": "http",
"url": "https://deploytoagents.com/mcp"
}
}
}{
"mcpServers": {
"deploytoagents": {
"type": "http",
"url": "https://deploytoagents.com/mcp"
}
}
}{
"mcpServers": {
"deploytoagents": {
"type": "http",
"url": "https://deploytoagents.com/mcp"
}
}
}{
"servers": {
"deploytoagents": {
"type": "http",
"url": "https://deploytoagents.com/mcp"
}
}
}{
"mcpServers": {
"deploytoagents": {
"type": "http",
"url": "https://deploytoagents.com/mcp"
}
}
}file .mcp.json (in your project root)file claude_desktop_config.jsonfile ~/.cursor/mcp.jsonfile .vscode/mcp.jsonfile ~/.codeium/windsurf/mcp_config.jsonversion 0.3.0
What it does
Deploy to Agents provides tools to audit how AI agents discover your application across different surfaces (like Claude), collect evidence of that discovery, and generate distribution plans. It is for organizations that want to understand and improve their presence in agent-facing interfaces.
- Audit your website to see which AI agent surfaces mention or recommend it, and get structured evidence of those findings.
- Check the current status of an audit and retrieve the distribution plan recommending how to improve agent discoverability.
- Access evidence receipts and discovery records to verify your organization's presence across agent-facing surfaces.
Tools this server exposes
| Tool | Does |
|---|---|
| audit_app | Submit a URL for audit to check how it is discovered and mentioned across agent-facing surfaces. |
| get_audit_result | Retrieve the status and results of a previously queued audit. |
| create_distribution_plan | Generate a prioritized distribution plan based on completed audit results. |
| get_customer_zero_evidence | Access evidence and discovery records for the service's own customer verification. |
Before you enable it
An MCP server runs with whatever access you give it. Start with a development account rather than production, and check which tools the server exposes before you let an agent call them unattended.