Inspector
๐ ๏ธ Transform complex JSON exports from Google AI Studio into clear, interactive conversation timelines for easier analysis and management.
What is Inspector?
Inspector is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ๐ ๏ธ transform complex json exports from google ai studio into clear, interactive conversation timelines for easier analysis and management.
๐ ๏ธ Transform complex JSON exports from Google AI Studio into clear, interactive conversation timelines for easier analysis and management.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- ๐ ๏ธ Transform complex JSON exports from Google AI Studio into
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @modelcontextprotocol/inspectorManual Installation
npx -y @modelcontextprotocol/inspectorConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Inspector
MCP Inspector is the official developer tool for testing and debugging MCP servers, built and maintained by the Model Context Protocol team. It provides a React-based web UI and a Node.js proxy that can connect to any MCP server over stdio, SSE, or Streamable HTTP transports, letting you interactively list and call tools, read resources, test prompts, and inspect the full request/response cycle. Every MCP server developer should use it during development to verify their server behaves correctly before connecting it to an AI client.
Prerequisites
- Node.js 18+ and npx installed
- A running or locally built MCP server to test
- A modern web browser (Chrome, Firefox, Safari, or Edge)
- Docker (optional, for the containerized deployment)
Launch the Inspector UI
Run the Inspector with npx โ no installation required. It starts a local web server and opens the UI in your browser automatically.
npx @modelcontextprotocol/inspectorLaunch with a specific MCP server
Pass your MCP server's start command directly to the Inspector. It will start the server as a subprocess and connect to it over stdio.
npx @modelcontextprotocol/inspector node build/index.jsPass environment variables to the server
Use the -e flag to inject environment variables into the MCP server process being tested.
npx @modelcontextprotocol/inspector -e API_KEY=your-key node build/index.jsUse CLI mode for scripting and automation
The --cli flag runs the Inspector in headless mode, useful for CI pipelines, scripted tests, or integration with coding assistants.
npx @modelcontextprotocol/inspector --cli node build/index.jsRun with Docker for isolated testing
Use the official Docker image to run the Inspector in a sandboxed environment without installing Node.js locally.
docker run --rm -p 127.0.0.1:6274:6274 -p 127.0.0.1:6277:6277 \
-e HOST=0.0.0.0 -e MCP_AUTO_OPEN_ENABLED=false \
ghcr.io/modelcontextprotocol/inspector:latestExplore tools, resources, and prompts in the UI
In the browser UI, use the Tools tab to list and call your server's tools, the Resources tab to browse and read resources, and the Prompts tab to test prompt templates โ all with full request/response visibility.
Inspector Examples
Client configuration
The Inspector itself is a development tool, not a server you add to an AI client. This shows how to add it to Claude Desktop for debugging MCP servers from within Claude.
{
"mcpServers": {
"inspector": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/inspector"]
}
}
}Prompts to try
The Inspector is a web UI tool โ use these commands in your terminal to launch it against real MCP servers for debugging.
- "npx @modelcontextprotocol/inspector node build/index.js"
- "npx @modelcontextprotocol/inspector python server.py"
- "npx @modelcontextprotocol/inspector --cli node build/index.js (for headless/CI mode)"
- "Open http://localhost:6274 in your browser to access the Inspector UI"Troubleshooting Inspector
Browser does not open automatically after launch
Navigate manually to http://localhost:6274 in your browser. If the port is in use, set a custom port with the CLIENT_PORT environment variable: CLIENT_PORT=6280 npx @modelcontextprotocol/inspector
Server connection fails or tools list is empty
Verify the MCP server starts without errors by running it standalone first (node build/index.js). Check that the server implements the MCP protocol correctly and that all required environment variables are passed via the -e flag.
DANGEROUSLY_OMIT_AUTH warning appears
This warning appears when auth is disabled for local testing. Never set DANGEROUSLY_OMIT_AUTH=true in production or shared environments. For team use, set MCP_PROXY_AUTH_TOKEN to a shared secret instead.
Frequently Asked Questions about Inspector
What is Inspector?
Inspector is a Model Context Protocol (MCP) server that ๐ ๏ธ transform complex json exports from google ai studio into clear, interactive conversation timelines for easier analysis and management. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Inspector?
Install via npm with the command: npx -y @modelcontextprotocol/inspector. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Inspector?
Inspector works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Inspector free to use?
Yes, Inspector is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.
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Set Up Inspector in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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