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Spott provides a hosted MCP (Model Context Protocol) server at https://mcp.spott.io/mcp. It exposes a set of tools that AI assistants can call to work in Spott on your behalf: searching records, creating candidates, moving applications, scheduling interviews, sending emails, logging calls, and more.

What it’s for

  • Run your day-to-day recruiting workflow from a chat conversation.
  • Build assistant-driven automations that read and write Spott data.
  • Connect Spott into multi-step agentic flows alongside other connectors.

Set it up

The quickest paths are our step-by-step guides:

Use Spott in Claude

Connect Spott in Claude apps, or add it as a custom connector.

Use Spott in ChatGPT

Add Spott as an app in ChatGPT with the MCP server URL.
For any other MCP-capable tool, the general flow is:
  1. Add a custom connector and point it at https://mcp.spott.io/mcp.
  2. Connect. The tool redirects you to a Spott OAuth page.
  3. Approve access. The assistant can now make authenticated calls on your behalf.

Authentication: OAuth, per user

Unlike the REST API, which uses API keys, the MCP server authenticates with OAuth:
  • Each user connecting completes their own OAuth flow; access is scoped to that user.
  • Actions the assistant performs are attributed to the connected user.
  • No keys to paste or rotate, and access can be revoked from the Spott side.

What the assistant can do

The tool set grows over time and reflects the live capability surface: searching and looking up records, creating and updating candidates, managing applications and pipelines, notes, tasks, emails, calendar invites, placements, and more. After connecting, ask your assistant what Spott tools it has available for the current list.

MCP vs the API vs webhooks

  • MCP: AI-assistant-driven interactions and agentic flows.
  • REST API: traditional integrations and programmatic data access at scale.
  • Webhooks: event-driven notifications from Spott to your systems.
The three are complementary and can be combined.