Add fastmcp generate-cli command

docs/clients/generate-cli.mdx

@@ -0,0 +1,129 @@
+---
+title: Generate CLI
+sidebarTitle: Generate CLI
+description: Turn any MCP server into a standalone, typed command-line tool.
+icon: wand-magic-sparkles
+---
+
+import { VersionBadge } from '/snippets/version-badge.mdx'
+
+<VersionBadge version="3.0.0" />
+
+`fastmcp list` and `fastmcp call` let you poke at a server interactively, but they're developer tools — you always have to spell out the server spec, the tool name, and the arguments. `fastmcp generate-cli` takes the next step: it connects to a server, reads its schemas, and writes a standalone Python script where every tool is a proper subcommand with typed flags, help text, and tab completion. The result is a CLI that feels like it was hand-written for that specific server.
+
+The key insight is that MCP tool schemas already contain everything a CLI framework needs: parameter names, types, descriptions, required/optional status, and defaults. `generate-cli` maps that schema into [cyclopts](https://cyclopts.readthedocs.io/) commands, so JSON Schema types become Python type annotations, descriptions become `--help` text, and required parameters become mandatory flags.
+
+## Generating a Script
+
+Point the command at any server spec — URLs, Python files, discovered server names, MCPConfig JSON — and it writes a CLI script:
+
+```bash
+fastmcp generate-cli weather
+fastmcp generate-cli http://localhost:8000/mcp
+fastmcp generate-cli server.py my_weather_cli.py
+```
+
+The second positional argument sets the output path. When omitted, it defaults to `cli.py`. If the file already exists, the command refuses to overwrite unless you pass `-f`:
+
+```bash
+fastmcp generate-cli weather -f
+fastmcp generate-cli weather my_cli.py -f
+```
+
+Name-based resolution works here too, so if you have a server configured in Claude Desktop, Cursor, or any other supported editor, you can reference it by name. Run [`fastmcp discover`](/clients/cli#discovering-configured-servers) to see what's available.
+
+```bash
+fastmcp generate-cli claude-code:my-server output.py
+```
+
+The `--timeout` and `--auth` flags work the same way they do in `fastmcp list` and `fastmcp call`.
+
+## What You Get
+
+The generated script is a regular Python file — executable, editable, and yours. Here's what it looks like in practice:
+
+```
+$ python cli.py --help
+Usage: weather-cli COMMAND
+
+CLI for weather MCP server
+
+Commands:
+  call-tool       Call a tool on the server
+  list-tools      List available tools.
+  list-resources  List available resources.
+  read-resource   Read a resource by URI.
+  list-prompts    List available prompts.
+  get-prompt      Get a prompt by name. Pass arguments as key=value pairs.
+```
+
+The `call-tool` subcommand is where the generated code lives. Each tool on the server becomes its own command:
+
+```
+$ python cli.py call-tool --help
+Usage: weather-cli call-tool COMMAND
+
+Call a tool on the server
+
+Commands:
+  get_forecast  Get the weather forecast for a city.
+  search_city   Search for a city by name.
+```
+
+And each tool has typed parameters with help text pulled directly from the server's schema:
+
+```
+$ python cli.py call-tool get_forecast --help
+Usage: weather-cli call-tool get_forecast [OPTIONS]
+
+Get the weather forecast for a city.
+
+Options:
+  --city    [str]  City name (required)
+  --days    [int]  Number of forecast days (default: 3)
+```
+
+Tool names are preserved exactly as the server defines them — underscores stay as underscores, so `call-tool get_forecast` matches what the server expects.
+
+## How It Works
+
+The generated script is a client, not a server. It doesn't bundle or embed the MCP server — it connects to it on every invocation. For URL-based servers, the server needs to be running. For stdio-based servers, the command specified in `CLIENT_SPEC` must be available on the system's `PATH`.
+
+At the top of the generated file, a `CLIENT_SPEC` variable holds the resolved transport: either a URL string or a `StdioTransport` with the command and arguments baked in. Every invocation connects through this spec, so the script works without any external configuration.
+
+### Parameter Handling
+
+Parameters are mapped intelligently based on their complexity:
+
+**Simple types** (`string`, `integer`, `number`, `boolean`) become typed Python parameters with clean flags:
+```bash
+python cli.py call-tool get_forecast --city London --days 3
+```
+
+**Arrays of simple types** (`array` with `string`/`integer`/`number`/`boolean` items) become `list[T]` parameters that accept multiple flags:
+```bash
+python cli.py call-tool tag_items --tags python --tags fastapi --tags mcp
+```
+
+**Complex types** (objects, nested arrays, or unions) accept JSON strings. The tool's `--help` displays the full JSON schema so you know exactly what structure to pass:
+```bash
+python cli.py call-tool create_user \
+  --name John \
+  --metadata '{"role": "admin", "dept": "engineering"}'
+```
+
+Required parameters are mandatory flags; optional ones default to their schema default or `None`. Empty values are filtered out before calling the server.
+
+Beyond tool commands, the script includes generic commands that work regardless of what the server exposes: `list-tools`, `list-resources`, `read-resource`, `list-prompts`, and `get-prompt`. These connect to the server at runtime, so they always reflect the server's current state even if the tools have changed since generation.
+
+## Editing the Output
+
+The most common edit is changing `CLIENT_SPEC`. If you generated from a local dev server and want to point at production, just change the string. If you generated from a discovered name and want to pin the transport, replace it with an explicit URL or `StdioTransport`.
+
+Beyond that, it's a regular Python file. You can add commands, change the output formatting, integrate it into a larger application, or strip out the parts you don't need. The helper functions (`_call_tool`, `_print_tool_result`) are thin wrappers around `fastmcp.Client` that are easy to adapt.
+
+The generated script requires `fastmcp` as a dependency. If the script lives outside a project that already has fastmcp installed, `uv run` is the easiest way to run it without permanent installation:
+
+```bash
+uv run --with fastmcp python cli.py call-tool get_forecast --city London
+```

docs/docs.json

@@ -169,6 +169,7 @@
                 "pages": [
                   "clients/client",
                   "clients/cli",
+                  "clients/generate-cli",
                   "clients/transports",
                   {
                     "group": "Core Operations",

src/fastmcp/cli/cli.py

@@ -20,6 +20,7 @@
 import fastmcp
 from fastmcp.cli import run as run_module
 from fastmcp.cli.client import call_command, discover_command, list_command
+from fastmcp.cli.generate import generate_cli_command
 from fastmcp.cli.install import install_app
 from fastmcp.cli.tasks import tasks_app
 from fastmcp.utilities.cli import is_already_in_uv_subprocess, load_and_merge_config
@@ -957,6 +958,7 @@ async def prepare(
 app.command(list_command, name="list")
 app.command(call_command, name="call")
 app.command(discover_command, name="discover")
+app.command(generate_cli_command, name="generate-cli")
 
 
 if __name__ == "__main__":