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 Errors, inconsistencies, outdated examples—that's what you get.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.
CMS development: solving real editorial bottlenecks, not installing plugins
A news publisher had a WordPress site with 5 editors. Every article required 15 minutes of manual formatting because the WYSIWYG mangled pasted text. After 6 months, the database had 12 different font sizes and 7 custom colors. The redesign would cost $30k just to clean up the mess — and no one would admit it.
We develop content management systems (CMS) that prevent this from day one. Instead of free-form <textarea> hell, we design structured content models, custom WYSIWYG editors using ProseMirror, and media libraries that offload to S3+CDN within two sprints. This is CMS development without shortcuts.
When is headless CMS justified and when not?
Headless CMS (Strapi, Contentful, Sanity) decouples content management from frontend rendering — the API serves content to any client: website, mobile app, smart display. You get omnichannel delivery and a React/Vue frontend that never touches the admin panel. But if your editors need “save and see” preview and you have no separate frontend team, headless costs extra: you must build a preview layer or use a service like Vercel’s preview deployments.
Sanity customises Studio down to the field level — each field is a React component you can replace. Portable Text (its rich content format) ports to any renderer via custom serializers. For complex editorial workflows with multiple authors, Sanity is the best choice. Contentful offers stable cloud infrastructure with a marketplace of extensions, but monthly bills scale with content volume — typical enterprise plans are $500–$2,000/month. Strapi is self-hosted, open source, with a TypeScript API and custom fields via plugins, but you manage the hosting and backups.
Traditional CMS (WordPress, Craft CMS) works when editors need a familiar admin UI and the frontend is rendered server-side. Craft CMS provides Matrix fields, flexible entry structures, and built-in localization — it’s a professional tool for content teams that need granular permissions and versioning.
How do we build a WYSIWYG editor that doesn’t break layout?
The editor is the most complex component — not a <textarea>. The sweet spot is Tiptap, built on ProseMirror. Every element (headings, lists, tables, code blocks, images) is an extension. Collaborative editing via Yjs works out of the box. Lexical (Meta) is more performant (>60fps typing on mobile) but harder to extend. TinyMCE is a corporate standard at 300KB bundle, but it generates dirty HTML on paste — inline styles, nested <span>, everywhere.
The root cause: pasting from Word. font-family, mso-* properties, empty <span> tags — all leak into the page unless you sanitize. We configure ProseMirror’s pasteRule with DOMPurify to strip everything except allowed tags. Result: clean, semantic HTML that survives a redesign without manual cleanup. Editors save 2–4 hours per week per person.
Media library: from upload to CDN with transformation
Saving files to the server disk is the classic mistake. The disk fills, scaling fails, and CDN becomes impossible. The correct pipeline: upload to S3-compatible storage (AWS S3, Cloudflare R2, MinIO) → CDN (CloudFront, Cloudflare) → on‑the‑fly transformations.
Imgproxy or Thumbor generate any size and format dynamically: https://img.example.com/resize:800:600/format:webp/plain/s3://bucket/photo.jpg. The original lives once, derivatives never occupy disk. Cloudflare Images costs $5 per 100k images, including transformations. Video uploads use Cloudflare Stream or Mux — encode to HLS, adaptive streaming for any bandwidth. Without this, a 1080p video (500MB) loads entirely before play, causing a 5–8 second delay on 3G.
What’s included in media library development
| Component |
Technology |
Timeline (weeks) |
| Upload and storage in S3 |
AWS SDK / MinIO |
1–2 |
| Image transformations |
Imgproxy / Thumbor |
1–2 |
| Video streaming |
Cloudflare Stream / Mux |
1–2 |
| Upload and sorting UI |
React + @dnd-kit/sortable |
1–3 |
| Migration of existing files |
Custom script |
0.5–1 |
Why structured content outperforms free-form HTML
Free-form WYSIWYG leads to chaos in a year: 7 font sizes, 12 colors, random margins. Redesign requires manual cleanup of thousands of posts. Structured content stores “what” instead of “how”: not <p style="font-size:24px; color:red">Important!</p>, but a callout block with variant: warning. The CMS stores the structure; the frontend decides rendering. Sanity Portable Text, Contentful Rich Text, and Strapi Dynamic Zones all follow this pattern — and it reduces rework by 70% during redesigns.
Typical editorial time savings with structured content
- A news site with 50 articles per week: editors save 10 hours/week on formatting.
- A corporate portal with 1000 existing pages: migration from free-form to structured content takes 3–5 days, cutting page load by 40% (cleaner HTML).
Work process
-
Analysis of editorial workflows — who edits, how often, what content (articles, landing pages, product data), whether localization is needed.
-
CMS selection — based on scenarios, not trends. We compare headless vs traditional with a weighted matrix.
-
Content model design — record types, fields, relationships, validation rules.
-
Implementation — frontend integration, editor customization, media library, previews.
-
Testing — real‑world scenarios: paste from Word, upload 100+ files simultaneously, load test the API (200 req/s target).
-
Deployment and documentation — editor guide (text + video), API description, access credentials, 1 month support.
Timelines and budget
| Type of work |
Timeline |
Budget |
| Integration of headless CMS (Strapi/Sanity) into existing Next.js project |
2–5 weeks |
Discussed individually |
| Custom WYSIWYG editor with Tiptap and specific blocks |
2–4 weeks |
Discussed individually |
| Media library with S3 + transformations |
1–3 weeks |
Discussed individually |
| Full CMS system from scratch |
4–10 weeks |
Discussed individually |
Budget is calculated individually after an audit. Client examples: a mid‑sized media site saved $40k/year by eliminating manual formatting; an e‑commerce platform reduced time‑to‑publish by 60% with a headless Sanity setup. Contact us for a free project estimate.
What you get after delivery
- Working CMS with configured access rights (admin, editor, reviewer)
- Full content model documentation and API reference
- Editor training documentation (text + video)
- Code covered by tests (PHPUnit for Laravel, Jest for JS)
- 1 month post‑launch support with SLA
Our experience and guarantees
Over 40 completed CMS projects — from small editorial sites to enterprise media portals with 200k daily unique visitors. We use licensed tools (Sentry for error monitoring, SonarCloud for code quality) and guarantee zero critical bugs at launch. All code is version‑controlled and deployable via CI/CD.
For your specific needs, contact us to discuss requirements. We’ll provide a technical proposal within 2 business days.