mcp interviewer
pipStandardThe 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.
140160Updated 3 months ago
Overview
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.
Installation
1Install the package
pip
pip install mcp-interviewer2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"microsoft-mcp-interviewer-github": {
"command": "uvx",
"args": [
"pip install mcp-interviewer"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from mcp interviewer?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in mcp interviewer?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in mcp interviewer"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in mcp interviewer with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with mcp interviewer
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