Agent Interviews MCP is an open-source project maintained by thinkchainai on GitHub, providing Model Context Protocol (MCP) access to AgentInterviews.com. Through this MCP server, MCP-compatible AI assistants such as Claude and Cursor can interact with a user's Agent Interviews account in a standardized way, directly retrieving interview data, reports, and transcripts.
- Purpose Agent Interviews is an AI interview-as-a-service platform designed to help companies streamline their technical assessment process. Its platform capabilities include: creating AI interviewers customized for specific roles and skills; conducting consistent, bias-reduced technical interviews at scale; collecting structured data on candidate performance; and saving engineering time while maintaining high hiring standards. Users can deploy customizable AI interviewers that assess candidates through natural conversation, provide detailed reports, and integrate into existing hiring workflows.
Building on this, the Agent Interviews MCP server provides AI assistants with a standardized channel to access the aforementioned interview data. It allows Claude, Cursor, and other MCP-compatible AI assistants to seamlessly interact with Agent Interviews accounts, enabling users to ask about interview status, transcripts, project information, and more through natural language.
- Main Capabilities According to the repository description, this MCP server has the following features:
- Secure API access: Connect to an Agent Interviews account using an API key.
- Tool prefix: All tools use the agentinterviews_ prefix to avoid conflicts with other MCPs.
- Comprehensive functionality: Access interviews, transcripts, reports, projects, and more.
- Intuitive querying: Users can ask questions in natural language, and the AI determines which tools to use.
Examples of available tools (all prefixed with agentinterviews_):
- agentinterviews_list_projects: List all projects.
- agentinterviews_get_interview: Get detailed information about a specific interview.
- agentinterviews_list_interviewers: List all interviewers.
- agentinterviews_get_transcript: Retrieve the transcript of a certain interview.
III. How to Use Before use, the following conditions must be met:
- Have an Agent Interviews account with API access;
- Have an Agent Interviews API key;
- Use an MCP-compatible client (such as Claude Desktop, Cursor, etc.).
Configuration steps (the repository uses Claude Desktop as an example): edit the Claude Desktop configuration file, which can be accessed through the Claude menu → Settings → Developer → Edit Config. The documentation also provides an MCP setup guide for Cursor and an MCP setup guide for Claude Desktop. Complete setup guides and usage instructions can be viewed through the official documentation links.
After configuration is complete, users can ask the AI assistant questions such as the following:
- "Show the status of my most recent interview"
- "Get the transcript of my last interview with candidate John Smith"
- "What projects do I have available?"
- "Show detailed information about the 'Senior Developer' interviewer"
IV. Use Cases This tool is suitable for teams that already use the Agent Interviews platform for technical assessments and interviews, especially recruiters or engineering managers who want to quickly query interview status, candidate transcripts, project information, and interviewer details through an AI assistant. It helps obtain interview data and reports without leaving the AI assistant interface.
V. Limitations and Notes
- The MCP server requires an API key for authentication. This key is used to securely access account data. Never share the API key or include it in a public repository.
- Before use, you must have an Agent Interviews account and API access.
- Only MCP-compatible clients are supported.
- If you encounter problems, you can check the official documentation, contact support@agentinterviews.com, or submit an issue in the repository.
- The project uses the MIT license. See the LICENSE file for details.
VI. Related Projects The repository lists related projects, including Model Context Protocol, MCP TypeScript SDK, etc.
The remaining specific feature details, pricing information, platform availabilityand other facts are not yet provided.
