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title: FastMCP CLI
sidebarTitle: CLI
description: Learn how to use the FastMCP command-line interface
icon: terminal
---
import { VersionBadge } from "/snippets/version-badge.mdx"
FastMCP provides a command-line interface (CLI) that makes it easy to run, develop, and install your MCP servers. The CLI is automatically installed when you install FastMCP.
```bash
fastmcp --help
```
## Commands Overview
| Command | Purpose | Dependency Management |
| ------- | ------- | --------------------- |
| `run` | Run a FastMCP server directly | Uses your current environment; you are responsible for ensuring all dependencies are available |
| `dev` | Run a server with the MCP Inspector for testing | Creates an isolated environment; dependencies must be explicitly specified with `--with` and/or `--with-editable` |
| `install` | Install a server in MCP client applications | Creates an isolated environment; dependencies must be explicitly specified with `--with` and/or `--with-editable` |
| `inspect` | Generate a JSON report about a FastMCP server | Uses your current environment; you are responsible for ensuring all dependencies are available |
| `version` | Display version information | N/A |
## Command Details
### `run`
Run a FastMCP server directly or proxy a remote server.
```bash
fastmcp run server.py
```
<Tip>
This command runs the server directly in your current Python environment. You are responsible for ensuring all dependencies are available.
</Tip>
#### Options
| Option | Flag | Description |
| ------ | ---- | ----------- |
| Transport | `--transport`, `-t` | Transport protocol to use (`stdio`, `http`, or `sse`) |
| Host | `--host` | Host to bind to when using http transport (default: 127.0.0.1) |
| Port | `--port`, `-p` | Port to bind to when using http transport (default: 8000) |
| Path | `--path` | Path to bind to when using http transport (default: `/mcp/` or `/sse/` for SSE) |
| Log Level | `--log-level`, `-l` | Log level (DEBUG, INFO, WARNING, ERROR, CRITICAL) |
| No Banner | `--no-banner` | Disable the startup banner display |
#### Server Specification
<VersionBadge version="2.3.5" />
The server can be specified in three ways:
1. `server.py` - imports the module and looks for a FastMCP object named `mcp`, `server`, or `app`. Errors if no such object is found.
2. `server.py:custom_name` - imports and uses the specified server object
3. `http://server-url/path` or `https://server-url/path` - connects to a remote server and creates a proxy
<Tip>
When using `fastmcp run` with a local file, it **ignores** the `if __name__ == "__main__"` block entirely. Instead, it finds your server object and calls its `run()` method directly with the transport options you specify. This means you can use `fastmcp run` to override the transport specified in your code.
</Tip>
For example, if your code contains:
```python
# server.py
from fastmcp import FastMCP
mcp = FastMCP("MyServer")
@mcp.tool
def hello(name: str) -> str:
return f"Hello, {name}!"
if __name__ == "__main__":
# This is ignored when using `fastmcp run`!
mcp.run(transport="stdio")
```
You can run it with Streamable HTTP transport regardless of what's in the `__main__` block:
```bash
fastmcp run server.py --transport http --port 8000
```
**Examples**
```bash
# Run a local server with Streamable HTTP transport on a custom port
fastmcp run server.py --transport http --port 8000
# Connect to a remote server and proxy as a stdio server
fastmcp run https://example.com/mcp-server
# Connect to a remote server with specified log level
fastmcp run https://example.com/mcp-server --log-level DEBUG
```
### `dev`
Run a MCP server with the [MCP Inspector](https://github.com/modelcontextprotocol/inspector) for testing.
```bash
fastmcp dev server.py
```
<Tip>
This command runs your server in an isolated environment. All dependencies must be explicitly specified using the `--with` and/or `--with-editable` options.
</Tip>
<Warning>
The `dev` command is a shortcut for testing a server over STDIO only. When the Inspector launches, you may need to:
1. Select "STDIO" from the transport dropdown
2. Connect manually
This command does not support HTTP testing. To test a server over Streamable HTTP or SSE:
1. Start your server manually with the appropriate transport using either the command line:
```bash
fastmcp run server.py --transport http
```
or by setting the transport in your code:
```bash
python server.py # Assuming your __main__ block sets Streamable HTTP transport
```
2. Open the MCP Inspector separately and connect to your running server
</Warning>
#### Options
| Option | Flag | Description |
| ------ | ---- | ----------- |
| Editable Package | `--with-editable`, `-e` | Directory containing pyproject.toml to install in editable mode |
| Additional Packages | `--with` | Additional packages to install (can be used multiple times) |
| Inspector Version | `--inspector-version` | Version of the MCP Inspector to use |
| UI Port | `--ui-port` | Port for the MCP Inspector UI |
| Server Port | `--server-port` | Port for the MCP Inspector Proxy server |
**Example**
```bash
# Run dev server with editable mode and additional packages
fastmcp dev server.py -e . --with pandas --with matplotlib
```
### `install`
<VersionBadge version="2.10.3" />
Install a MCP server in MCP client applications. FastMCP currently supports the following clients:
- **Claude Code** - Installs via Claude Code's built-in MCP management system
- **Claude Desktop** - Installs via direct configuration file modification
- **Cursor** - Installs via deeplink that opens Cursor for user confirmation
- **MCP JSON** - Generates standard MCP JSON configuration for manual use
```bash
fastmcp install claude-code server.py
fastmcp install claude-desktop server.py
fastmcp install cursor server.py
fastmcp install mcp-json server.py
```
Note that for security reasons, MCP clients usually run every server in a completely isolated environment. Therefore, all dependencies must be explicitly specified using the `--with` and/or `--with-editable` options (following `uv` conventions) or by attaching them to your server in code via the `dependencies` parameter. You should not assume that the MCP server will have access to your local environment.
<Warning>
**`uv` must be installed and available in your system PATH**. Both Claude Desktop and Cursor run in isolated environments and need `uv` to manage dependencies. On macOS, install `uv` globally with Homebrew for Claude Desktop compatibility: `brew install uv`.
</Warning>
<Tip>
**FastMCP `install` commands focus on local server files with STDIO transport.** For remote servers running with HTTP or SSE transport, use your client's native configuration - FastMCP's value is simplifying the complex local setup with dependencies and `uv` commands.
</Tip>
#### Server Specification
The `install` command supports the same `file.py:object` notation as the `run` command:
1. `server.py` - imports the module and looks for a FastMCP object named `mcp`, `server`, or `app`. Errors if no such object is found.
2. `server.py:custom_name` - imports and uses the specified server object
#### Options
| Option | Flag | Description |
| ------ | ---- | ----------- |
| Server Name | `--name`, `-n` | Custom name for the server (defaults to server's name attribute or file name) |
| Editable Package | `--with-editable`, `-e` | Directory containing pyproject.toml to install in editable mode |
| Additional Packages | `--with` | Additional packages to install (can be used multiple times) |
| Environment Variables | `--env-var`, `-v` | Environment variables in KEY=VALUE format (can be used multiple times) |
| Environment File | `--env-file`, `-f` | Load environment variables from a .env file |
**Examples**
```bash
# Auto-detects server object (looks for 'mcp', 'server', or 'app')
fastmcp install claude-desktop server.py
# Uses specific server object
fastmcp install claude-desktop server.py:my_server
# With custom name and dependencies
fastmcp install claude-desktop server.py:my_server -n "My Analysis Server" --with pandas
# Install in Claude Code with environment variables
fastmcp install claude-code server.py --env-var API_KEY=secret --env-var DEBUG=true
# Install in Cursor with environment variables
fastmcp install cursor server.py --env-var API_KEY=secret --env-var DEBUG=true
# Install with environment file
fastmcp install cursor server.py --env-file .env
# Generate MCP JSON configuration
fastmcp install mcp-json server.py --name "My Server" --with pandas
# Copy JSON configuration to clipboard
fastmcp install mcp-json server.py --copy
```
#### MCP JSON Generation
The `mcp-json` subcommand generates standard MCP JSON configuration that can be used with any MCP-compatible client. This is useful when:
- Working with MCP clients not directly supported by FastMCP
- Creating configuration for CI/CD environments
- Sharing server configurations with others
- Integration with custom tooling
The generated JSON follows the standard `mcpServers` format used by Claude Desktop, VS Code, Cursor, and other MCP clients:
```json
{
"mcpServers": {
"server-name": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp",
"fastmcp",
"run",
"/path/to/server.py"
],
"env": {
"API_KEY": "value"
}
}
}
}
```
**Options specific to mcp-json:**
| Option | Flag | Description |
| ------ | ---- | ----------- |
| Copy to Clipboard | `--copy` | Copy configuration to clipboard instead of printing to stdout |
### `inspect`
<VersionBadge version="2.9.0" />
Generate a detailed JSON report about a FastMCP server, including information about its tools, prompts, resources, and capabilities.
```bash
fastmcp inspect server.py
```
The command supports the same server specification format as `run` and `install`:
```bash
# Auto-detect server object
fastmcp inspect server.py
# Specify server object
fastmcp inspect server.py:my_server
# Custom output location
fastmcp inspect server.py --output analysis.json
```
### `version`
Display version information about FastMCP and related components.
```bash
fastmcp version
```
#### Options
| Option | Flag | Description |
| ------ | ---- | ----------- |
| Copy to Clipboard | `--copy` | Copy version information to clipboard |
|