The MCP Interviewer server simulates AI agent interactions to test and debug MCP servers. It exposes endpoints for sending and receiving messages, handling errors, and validating responses. It connects to any MCP-compatible server, allowing developers to test server behavior before deploying to production. Useful for debugging and ensuring reliability of AI agent workflows.
The MCP Interviewer server simulates AI agent interactions to test and debug MCP servers. It exposes endpoints for sending and receiving messages, handling errors, and validating responses. It connects to any MCP-compatible server, allowing developers to test server behavior before deploying to production. Useful for debugging and ensuring reliability of AI agent workflows.
pip install mcp-interviewerAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"microsoft-mcp-interviewer-github": {
"command": "uvx",
"args": [
"pip install mcp-interviewer"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcp interviewer?"
No configuration required. This server works out of the box.
"What resources are available in mcp interviewer?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcp interviewer"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcp interviewer with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.