fastmcp/docs/python-sdk/fastmcp-cli-cli.mdx

---
title: cli
sidebarTitle: cli
---

# `fastmcp.cli.cli`


FastMCP CLI tools using Cyclopts.

## Functions

### `with_argv` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/cli/cli.py#L71" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python
with_argv(args: list[str] | None)
```


Temporarily replace sys.argv if args provided.

This context manager is used at the CLI boundary to inject
server arguments when needed, without mutating sys.argv deep
in the source loading logic.

Args are provided without the script name, so we preserve sys.argv[0]
and replace the rest.


### `version` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/cli/cli.py#L94" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python
version()
```


Display version information and platform details.


### `dev` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/cli/cli.py#L136" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python
dev(server_spec: str | None = None) -> None
```


Run an MCP server with the MCP Inspector for development.

**Args:**
- `server_spec`: Python file to run, optionally with \:object suffix, or None to auto-detect fastmcp.json


### `run` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/cli/cli.py#L316" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python
run(server_spec: str | None = None, *server_args: str) -> None
```


Run an MCP server or connect to a remote one.

The server can be specified in several ways:
1. Module approach: "server.py" - runs the module directly, looking for an object named 'mcp', 'server', or 'app'
2. Import approach: "server.py:app" - imports and runs the specified server object
3. URL approach: "http://server-url" - connects to a remote server and creates a proxy
4. MCPConfig file: "mcp.json" - runs as a proxy server for the MCP Servers in the MCPConfig file
5. FastMCP config: "fastmcp.json" - runs server using FastMCP configuration
6. No argument: looks for fastmcp.json in current directory

Server arguments can be passed after -- :
fastmcp run server.py -- --config config.json --debug

**Args:**
- `server_spec`: Python file, object specification (file\:obj), config file, URL, or None to auto-detect


### `inspect` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/cli/cli.py#L618" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python
inspect(server_spec: str | None = None) -> None
```


Inspect an MCP server and display information or generate a JSON report.

This command analyzes an MCP server. Without flags, it displays a text summary.
Use --format to output complete JSON data.

**Examples:**

# Show text summary
fastmcp inspect server.py

# Output FastMCP format JSON to stdout
fastmcp inspect server.py --format fastmcp

# Save MCP protocol format to file (format required with -o)
fastmcp inspect server.py --format mcp -o manifest.json

# Inspect from fastmcp.json configuration
fastmcp inspect fastmcp.json
fastmcp inspect  # auto-detect fastmcp.json

**Args:**
- `server_spec`: Python file to inspect, optionally with \:object suffix, or fastmcp.json


### `prepare` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/cli/cli.py#L860" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python
prepare(config_path: Annotated[str | None, cyclopts.Parameter(help='Path to fastmcp.json configuration file')] = None, output_dir: Annotated[str | None, cyclopts.Parameter(help='Directory to create the persistent environment in')] = None, skip_source: Annotated[bool, cyclopts.Parameter(help='Skip source preparation (e.g., git clone)')] = False) -> None
```


Prepare a FastMCP project by creating a persistent uv environment.

This command creates a persistent uv project with all dependencies installed:
- Creates a pyproject.toml with dependencies from the config
- Installs all Python packages into a .venv
- Prepares the source (git clone, download, etc.) unless --skip-source

After running this command, you can use:
fastmcp run &lt;config&gt; --project &lt;output-dir&gt;

This is useful for:
- CI/CD pipelines with separate build and run stages
- Docker images where you prepare during build
- Production deployments where you want fast startup times