Imagine your team releases an SDK, and documentation for each new version is generated manually. Errors, inconsistencies, outdated examples—that's what you get. A custom MkDocs plugin automates this process by pulling data from an OpenAPI specification and forming endpoint pages. This cuts the time to update documentation from several days to minutes.
Your MkDocs site often requires non-standard logic that off-the-shelf plugins don't cover. You may need to dynamically generate pages from an external API, add custom variables to templates, or modify navigation. We'll write a Python plugin for you that solves these tasks. Over the years, we have developed dozens of plugins for MkDocs—from simple filters to full-featured documentation generators. The investment pays off through automation: our clients save up to 40% of time on documentation updates after implementation.
According to MkDocs documentation (https://www.mkdocs.org/dev-guide/plugins/), plugin events allow intervention at every build stage. This opens possibilities for automating any task: from adding banners to generating entire sections.
What problems do custom MkDocs plugins solve?
Standard MkDocs is great for basic documentation, but when you need:
- generate pages from external system data (OpenAPI, knowledge bases);
- insert dynamic elements (versions, statuses, banners);
- customize navigation based on meta-data;
- add custom files or exclude unnecessary ones;
- send notifications after build.
— a plugin is indispensable. We have faced each of these scenarios in practice and know how to implement them optimally. For example, a typical problem is N+1 queries when generating navigation: a plugin can aggregate meta-data and build the page tree without extra calls.
How we develop a plugin: stages
We approach development systematically. Here is a typical process:
| Stage | What we do | Duration |
|---|---|---|
| Analysis | Clarify requirements, study existing plugins | from 0.5 day |
| Design | Determine events, config structure | 0.5–1 day |
| Implementation | Write handler code, tests | 1–3 days |
| Testing | Cover with tests, verify build | 0.5 day |
| Documentation | Prepare README, config example | 0.5 day |
In total, a simple plugin takes 1–2 days, a complex one up to 5 days.
For a typical plugin, follow these steps: 1. Analyze requirements, 2. Design plugin architecture, 3. Implement handlers for chosen events, 4. Write unit tests, 5. Build and verify, 6. Document usage.
Example: plugin for generating API documentation
One of our projects was a plugin that creates pages for each endpoint from an OpenAPI specification. The client doesn't need to manually write Markdown—just provide the spec URL in the config. Implementation took 3 days. The code looks like this:
class ApiDocsPlugin(BasePlugin): def on_files(self, files, config): import yaml, requests from mkdocs.structure.files import File spec = requests.get(self.config.openapi_url).json() for path, methods in spec['paths'].items(): for method, operation in methods.items(): content = self._generate_page(path, method, operation, spec) file = File.generated(config, f"api/{slug(path)}-{method}.md", content=content) files.append(file) return files As a result, the navigation updates automatically, and the pages contain parameters, examples, and response codes. This is a powerful MkDocs OpenAPI plugin example.
Why a custom plugin is better than a ready-made solution?
| Parameter | Ready-made plugin (if exists) | Custom plugin |
|---|---|---|
| Functionality | Fixed set of options | Any requirements |
| Flexibility | Only what developers intended | Full control over logic |
| Time to implement | Minutes | 1–5 days |
| Cost | Free or fixed price | Individual pricing, starting from $500 |
| Support | Depends on author | We maintain your plugin |
If no ready-made solution exists, a custom plugin is the only way to get the needed functionality. A custom plugin adapts to your business processes 10 times faster, and the total cost of ownership is lower due to the absence of unnecessary features.
How to avoid typical plugin development mistakes?
Mistake 1: incorrect use of entry_points. The plugin won't load if the class path is not specified. Mistake 2: ignoring the on_config event for settings validation—errors surface only at build time. Mistake 3: mutating global state—this leads to unpredictable behavior during parallel builds. Our engineers know these pitfalls and write clean code.
View example plugin configuration in mkdocs.yml
plugins: - search - your-custom-plugin: option1: value1 option2: value2 What's included in our work
When you order plugin development from us, you get:
- Source code of the plugin with comments;
- Installation and configuration documentation (included in README);
- Unit tests for all handlers;
- Integration check on your project;
- 1 month of free support after delivery.
We guarantee compatibility with your MkDocs version (tested on Python 3.8+). We can also publish the plugin to PyPI if needed.
Why choose us?
With over 5 years of experience and 50+ successful plugin projects, our team delivers reliable solutions. Our engineers are certified in Python, and every project undergoes code review. We use static analysis, linters, and CI checks. This reduces the risk of errors and speeds up development. Prices start from $500 for simple plugins, and $2,000+ for complex integrations. Most clients save over $1,000 per month on documentation maintenance.
To discuss your case and get an individual estimate, contact us. Or order development right now—we'll prepare a proposal within a day.