- Home
- Search & Web
- Inspector
Rating
Votes
0
score
Downloads
0
total
Price
Free
API key required
Works With
About
MCP Inspector
The MCP inspector is a developer tool for testing and debugging MCP servers.
Architecture Overview
The MCP Inspector consists of two main components that work together:
- MCP Inspector Client (MCPI): A React-based web UI that provides an interactive interface for testing and debugging MCP servers
- MCP Proxy (MCPP): A Node.js server that acts as a protocol bridge, connecting the web UI to MCP servers via various transport methods (stdio, SSE, streamable-http)
Note that the proxy is not a network proxy for intercepting traffic. Instead, it functions as both an MCP client (connecting to your MCP server) and an HTTP server (serving the web UI), enabling browser-based interaction with MCP servers that use different transport protocols.
Running the Inspector
Requirements
- Node.js: ^22.7.5
Quick Start (UI mode)
To get up and running right away with the UI, just execute the following:
npx @modelcontextprotocol/inspectorThe server will start up and the UI will be accessible at http://localhost:6274.
Docker Container
You can also start it in a Docker container with the following command:
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:latestFrom an MCP server repository
To inspect an MCP server implementation, there's no need to clone this repo. Instead, use npx. For example, if your server is built at build/index.js:
npx @modelcontextprotocol/inspector node build/index.jsYou can pass both arguments and environment variables to your MCP server. Arguments are passed directly to your server, while environment variables can be set using the -e flag:
# Pass arguments only
npx @modelcontextprotocol/inspector node build/index.js arg1 arg2
# Pass environment variables only
npx @modelcontextprotocol/inspector -e key=value -e key2=$VALUE2 node build/index.js
# Pass both environment variables and arguments
npx @modelcontextprotocol/inspector -e key=value -e key2=$VALUE2 node build/index.js arg1 arg2
# Use -- to separate inspector flags from server arguments
npx @modelcontextprotocol/inspector -e key=$VALUE -- node build/index.js -e server-flagThe inspector runs both an MCP Inspector (MCPI) client UI (default port 6274) and an MCP Proxy (MCPP) server (default port 6277). Open the MCPI client UI in your browser to use the inspector. (These ports are derived from the T9 dialpad mapping of MCPI and MCPP respectively, as a mnemonic). You can customize the ports if needed:
CLIENT_PORT=8080 SERVER_PORT=9000 npx @modelcontextprotocol/inspector node build/index.jsDon't lose this
Three weeks from now, you'll want Inspector again. Will you remember where to find it?
Save it to your library and the next time you need Inspector, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Visual testing tool for MCP servers. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
What's New
Imported from GitHub
Ratings & Reviews
0.0
out of 5
0 ratings
No reviews yet. Be the first to share your experience.
From the Community
AI for Teens: Tools That Actually Help With school
The best AI tools for teens — hand-picked, easy to set up, and actually useful for school, social media, creativity, and figuring things out.
Xiaohongshu Mcp — A New Addition to the a-gnt Catalog
Discover Xiaohongshu Mcp: MCP for xiaohongshu.com
Unity MCP: Give AI Control of Your Game Engine
Unity MCP lets AI assistants interact directly with the Unity game engine, opening up new possibilities for game development.