MkDocs Plugins
A Guide to installing, using and creating MkDocs Plugins
Installing Plugins
Before a plugin can be used, it must be installed on the system. If you are
using a plugin which comes with MkDocs, then it was installed when you installed
MkDocs. However, to install third party plugins, you need to determine the
appropriate package name and install it using pip:
pip install mkdocs-foo-plugin
Warning
Installing an MkDocs plugin means installing a Python package and executing any code that the author has put in there. So, exercise the usual caution; there's no attempt at sandboxing.
Once a plugin has been successfully installed, it is ready to use. It just needs to be enabled in the configuration file. The Catalog repository has a large ranked list of plugins that you can install and use.
Using Plugins
The plugins configuration option should contain a list of plugins to
use when building the site. Each "plugin" must be a string name assigned to the
plugin (see the documentation for a given plugin to determine its "name"). A
plugin listed here must already be installed.
plugins:
- search
Some plugins may provide configuration options of their own. If you would like
to set any configuration options, then you can nest a key/value mapping
(option_name: option value) of any options that a given plugin supports. Note
that a colon (:) must follow the plugin name and then on a new line the option
name and value must be indented and separated by a colon. If you would like to
define multiple options for a single plugin, each option must be defined on a
separate line.
plugins:
- search:
lang: en
foo: bar
For information regarding the configuration options available for a given plugin, see that plugin's documentation.
For a list of default plugins and how to override them, see the configuration documentation.
Developing Plugins
Like MkDocs, plugins must be written in Python. It is generally expected that each plugin would be distributed as a separate Python module, although it is possible to define multiple plugins in the same module. At a minimum, a MkDocs Plugin must consist of a BasePlugin subclass and an entry point which points to it.
BasePlugin
A subclass of mkdocs.plugins.BasePlugin should define the behavior of the plugin.
The class generally consists of actions to perform on specific events in the build
process as well as a configuration scheme for the plugin.
All BasePlugin subclasses contain the following attributes:
config_scheme
A tuple of configuration validation instances. Each item must consist of a
two item tuple in which the first item is the string name of the
configuration option and the second item is an instance of
mkdocs.config.config_options.BaseConfigOption or any of its subclasses.
For example, the following config_scheme defines three configuration options: foo, which accepts a string; bar, which accepts an integer; and baz, which accepts a boolean value.
class MyPlugin(mkdocs.plugins.BasePlugin):
config_scheme = (
('foo', mkdocs.config.config_options.Type(str, default='a default value')),
('bar', mkdocs.config.config_options.Type(int, default=0)),
('baz', mkdocs.config.config_options.Type(bool, default=True))
)
New in version 1.4
Subclassing Config to specify the config schema
To get type safety benefits, if you're targeting only MkDocs 1.4+, define the config schema as a class instead:
class MyPluginConfig(mkdocs.config.base.Config):
foo = mkdocs.config.config_options.Type(str, default='a default value')
bar = mkdocs.config.config_options.Type(int, default=0)
baz = mkdocs.config.config_options.Type(bool, default=True)
class MyPlugin(mkdocs.plugins.BasePlugin[MyPluginConfig]):
...
Examples of config definitions
Example
from mkdocs.config import base, config_options as c
class _ValidationOptions(base.Config):
enabled = c.Type(bool, default=True)
verbose = c.Type(bool, default=False)
skip_checks = c.ListOfItems(c.Choice(('foo', 'bar', 'baz')), default=[])
class MyPluginConfig(base.Config):
definition_file = c.File(exists=True) # required
checksum_file = c.Optional(c.File(exists=True)) # can be None but must exist if specified
validation = c.SubConfig(_ValidationOptions)
From the user's point of view SubConfig is similar to Type(dict), it's just that it also retains full ability for validation: you define all valid keys and what each value should adhere to.
And ListOfItems is similar to Type(list), but again, we define the constraint that each value must adhere to.
This accepts a config as follows:
my_plugin:
definition_file: configs/test.ini # relative to mkdocs.yml
validation:
enabled: !ENV [CI, false]
verbose: true
skip_checks:
- foo
- baz
Example
import numbers
from mkdocs.config import base, config_options as c
class _Rectangle(base.Config):
width = c.Type(numbers.Real) # required
height = c.Type(numbers.Real) # required
class MyPluginConfig(base.Config):
add_rectangles = c.ListOfItems(c.SubConfig(_Rectangle)) # required
In this example we define a list of complex items, and that's achieved by passing a concrete SubConfig to ListOfItems.
This accepts a config as follows:
my_plugin:
add_rectangles:
- width: 5
height: 7
- width: 12
height: 2
When the user's configuration is loaded, the above scheme will be used to
validate the configuration and fill in any defaults for settings not
provided by the user. The validation classes may be any of the classes
provided in mkdocs.config.config_options or a third party subclass defined
in the plugin.
Any settings provided by the user which fail validation or are not defined
in the config_scheme will raise a mkdocs.config.base.ValidationError.
config
A dictionary of configuration options for the plugin, which is populated by
the load_config method after configuration validation has completed. Use
this attribute to access options provided by the user.
def on_pre_build(self, config, **kwargs):
if self.config['baz']:
# implement "baz" functionality here...
New in version 1.4
Safe attribute-based access
To get type safety benefits, if you're targeting only MkDocs 1.4+, access options as attributes instead:
def on_pre_build(self, config, **kwargs):
if self.config.baz:
print(self.config.bar ** 2) # OK, `int ** 2` is valid.
All BasePlugin subclasses contain the following method(s):
load_config(options)
Loads configuration from a dictionary of options. Returns a tuple of
(errors, warnings). This method is called by MkDocs during configuration
validation and should not need to be called by the plugin.
on_<event_name>()
Optional methods which define the behavior for specific events. The plugin
should define its behavior within these methods. Replace <event_name> with
the actual name of the event. For example, the pre_build event would be
defined in the on_pre_build method.
Most events accept one positional argument and various keyword arguments. It
is generally expected that the positional argument would be modified (or
replaced) by the plugin and returned. If nothing is returned (the method
returns None), then the original, unmodified object is used. The keyword
arguments are simply provided to give context and/or supply data which may
be used to determine how the positional argument should be modified. It is
good practice to accept keyword arguments as **kwargs. In the event that
additional keywords are provided to an event in a future version of MkDocs,
there will be no need to alter your plugin.
For example, the following event would add an additional static_template to the theme config:
class MyPlugin(BasePlugin):
def on_config(self, config, **kwargs):
config['theme'].static_templates.add('my_template.html')
return config
New in version 1.4
To get type safety benefits, if you're targeting only MkDocs 1.4+, access config options as attributes instead:
def on_config(self, config: MkDocsConfig):
config.theme.static_templates.add('my_template.html')
return config
Events
There are three kinds of events: Global Events, Page Events and Template Events.
See a diagram with relations between all the plugin events
- The events themselves are shown in yellow, with their parameters.
- Arrows show the flow of arguments and outputs of each event. Sometimes they're omitted.
- The events are chronologically ordered from top to bottom.
- Dotted lines appear at splits from global events to per-page events.
- Click the events' titles to jump to their description.