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AI & MCP

Hire faster with AI that lives in your recruiting stack

Score applicants, capture interview notes, and manage your hiring pipeline from Claude, ChatGPT, and other AI tools.

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Works with
Diagram of Claude, Cursor, and OpenAI connecting through Dover MCP to shortlist, stage move, and schedule

Works with

Bring Dover into the AI tools you already use

Claude

Ask Claude about your jobs, candidates, and pipeline, with Dover connected as an MCP tool.

Connect Claude →

ChatGPT

Use ChatGPT with Dover MCP to pull hiring context and move work forward without leaving your chat.

Connect ChatGPT →

Cursor, Codex & more

Use a generic HTTP MCP configuration for Cursor, Codex, and other clients that support JSON server config.

View setup →

See how it works

Once Dover MCP is connected, your AI assistant can help manage hiring like a member of your team.

  • Which applicants for Senior Engineer scored above 80 this week?
  • Summarize the last interview with the top Product Manager candidate.
  • What’s blocking the frontend hiring pipeline right now?
  • List open roles that still need interviewers scheduled.

AI built into Dover

From first application to final interview, Dover’s AI workflows help your team move faster.

AI-scored Software Engineer applicants ranked from top match to lower scores

AI application review & scoring

Rank applicants against the criteria you set for each role, so strong fits rise to the top of the stack.

  • Score resumes against job-specific requirements
  • Surface top candidates as new applications arrive
  • Keep reviews consistent across your hiring team
AI interview notetaker showing feedback form, video recording, and transcript for Michael Turner

AI interview notetaker

Capture interviews automatically with transcripts and structured notes so feedback isn’t lost after the call.

  • Transcribe video interviews
  • Pre-fill scorecards with structured observations
  • Spend less time on admin, more on judgment
Rough interview notes transformed into AI-formatted structured feedback

Interview synopses

Get a clear post-call summary for hiring managers who weren’t in the room: signal without the full transcript dump.

  • Concise interview write-ups ready to share
  • Highlight strengths, concerns, and next steps
  • Keep decisions moving when calendars don’t align

Dover MCP

Bring Dover into Claude and ChatGPT

Model Context Protocol (MCP) lets your AI tools talk to Dover securely, so you can manage hiring from the AI tools you already use.

  • Ask about open jobs and pipeline status
  • Pull candidate context into your AI chat
  • Schedule interviews without switching tabs
Connect ClaudeConnect ChatGPT
Or set up Dover MCP in settings →
Chat scheduling Sarah's interview via Dover MCP, updating Dover and calendar

Connect Cursor, Codex, and other MCP clients

Use a generic HTTP MCP configuration for clients that support JSON server configuration.

Generic MCP client setup

  1. Create a server named dover
  2. Set the transport to http
  3. Use the Dover MCP server URL

Dover MCP server URL: https://app.dover.com/mcp

Example configuration

{
  "mcpServers": {
    "dover": {
      "url": "https://app.dover.com/mcp",
      "transport": "http"
    }
  }
}

Put AI to work on your next hire

Start free with Dover’s ATS, then connect Claude or ChatGPT when you’re ready to bring hiring into your AI tools.

Get started freeExplore free ATS

Built for trust

OAuth scopes you choose

Connect with read access for jobs, applications, candidates, and interviews. Write actions like notes and stage changes only if you grant write access.

Same permissions as Dover

Agents only see jobs and candidates your Dover user can already access. Private jobs and role permissions still apply.

You stay in control

Disconnect anytime from Claude or ChatGPT. AI assists with ranking and summaries; hiring decisions stay with your team.

AI & MCP FAQ

What AI features does Dover offer?

Dover includes AI application review and scoring, an AI interview notetaker, and interview synopses, plus Dover MCP so you can use hiring context from Claude and ChatGPT.

What is Dover MCP?

Dover MCP (Model Context Protocol) lets AI tools like Claude, ChatGPT, Cursor, and Codex connect to your Dover hiring data and workflows securely, so you can ask questions and get context without leaving your chat.

How do I connect Claude or ChatGPT?

Open Dover MCP in Company Settings → Integrations, then use the Claude or ChatGPT directory links on this page to add Dover as a connector. You can also jump to setup from the MCP section above.

Can I use Cursor, Codex, or another MCP client?

Yes. Create a server named dover, set the transport to http, and use the Dover MCP server URL. See the generic MCP configuration on this page for an example JSON snippet.

Do I need a paid plan to use Dover AI?

Core hiring tools on Dover include AI-assisted workflows as part of the platform. Sign up for free to explore the ATS, sourcing, and AI features available on your plan.

Does AI replace recruiters or hiring managers?

No. Dover AI ranks, summarizes, and surfaces signal so your team can decide faster. Final hiring decisions stay with people, and you can still bring on a fractional recruiter when you need more capacity.

Is my hiring data safe with MCP?

You choose when to connect Dover MCP and can revoke access anytime. Agents only work with the hiring context you expose through the connection, not unrelated account or billing settings.