OpenAI builds and deploys advanced AI models like GPT-4o for autonomous agents and workflows.
Dover MCP
$199/mStarting price
0Popularity
About Dover MCP
Dover MCP integrates hiring workflows with AI assistants like Claude and ChatGPT through the Model Context Protocol. It allows users to query hiring pipelines, review candidate scores, capture interview notes, and manage recruitment stages directly within their AI chat interfaces. The tool supports automated resume scoring against role-specific criteria, real-time transcription of video interviews, and structured post-call summaries for hiring managers. Users can schedule interviews, pull candidate context, and track pipeline status without leaving their AI environment. Dover’s AI features operate alongside its applicant tracking system, which offers unlimited jobs and candidates on both free and paid tiers. Access is controlled via OAuth scopes, with read and write permissions configurable by the user. The system emphasizes data privacy, ensuring AI assistance remains within the bounds of existing job and candidate permissions.
Key features
- AI application review and scoring against role-specific criteria
- Automated interview transcription and structured note capture
- Post-call interview synopses for hiring managers
- Real-time pipeline status queries via AI assistants
- Interview scheduling within AI chat interfaces
- OAuth-controlled read/write permissions for hiring data
- Integration with Slack, job boards, and API
- Chrome extension for sourcing candidates
Use cases
- Reviewing and scoring applicants for technical roles
- Automating interview transcription and feedback capture
- Generating concise interview summaries for remote hiring teams
Pros
- Integrates with existing AI tools via Model Context Protocol
- Automates resume scoring and interview note-taking
- Supports structured interview summaries for non-participating managers
- OAuth-controlled access with configurable permissions
- Free ATS tier available with unlimited jobs and candidates
Cons
- Requires Model Context Protocol-compatible AI clients
- Paid features limited to higher-tier plans
- No explicit support for non-English hiring workflows
Frequently asked questions about Dover MCP
What AI features does Dover offer?
Dover provides AI application review and scoring, an AI interview notetaker, and interview synopses. These features help rank applicants, capture structured interview notes, and generate concise post-call summaries for hiring managers.
What is Dover MCP?
Dover MCP integrates hiring workflows with AI assistants like Claude and ChatGPT through the Model Context Protocol, allowing users to query hiring pipelines, review candidate scores, and manage recruitment stages directly within their AI chat interfaces.
How do I connect Claude or ChatGPT to Dover MCP?
Users can connect Dover MCP to Claude or ChatGPT by following the setup instructions in the Dover platform, which involves configuring the MCP server URL and granting necessary permissions via OAuth scopes.
Can I use Cursor, Codex, or another MCP client with Dover MCP?
Yes, Dover MCP supports generic MCP clients like Cursor and Codex by using a JSON server configuration with the provided Dover MCP server URL and HTTP transport settings.
Do I need a paid plan to use Dover AI?
Dover’s AI features are available alongside its applicant tracking system, which offers unlimited jobs and candidates on both free and paid tiers, though some advanced features may require a paid plan.
Is my hiring data safe with MCP?
Dover emphasizes data privacy and ensures AI assistance operates within the bounds of existing job and candidate permissions, with access controlled via configurable OAuth scopes and read/write permissions.
