INDIVIDUAL MCP TOOL

build_dossier

Assemble one person's entire public footprint into a single sourced profile: identity, contact details, social accounts unified across platforms, work history, education, relatives, locations, and web mentions - every claim linked to the page it came from.

deepsearch.appnone authenticationAvailability not checked

LIVE ENDPOINT

https://deepsearch.app/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for build_dossier and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

deepsearch.app

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.deepsearch]
url = "https://deepsearch.app/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "deepsearch": {
      "type": "http",
      "url": "https://deepsearch.app/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: deepsearch
Remote MCP URL: https://deepsearch.app/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "deepsearch": {
      "url": "https://deepsearch.app/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "deepsearch": {
      "type": "http",
      "url": "https://deepsearch.app/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "deepsearch",
  "transport": "streamable-http",
  "url": "https://deepsearch.app/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

search_people — Resolve one identifier - a name, phone number, email address, or username - to a ranked list of real, distinct people, each with a confidence score.
ask_about_person — Answer one specific question about a person, grounded in their public footprint, and suggest follow-ups.