Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DEModel Context Protocol VS Protocol Buffers_
As of 30 October 2026, Protocol Buffers is named by 431 companies and Model Context Protocol by 3,710; Model Context Protocol skews to companies under 200 people (42% vs 46%), Protocol Buffers to companies over 1,000 (26% vs 31%).
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
The website-and-DNS footprint is not comparable between a marketing suite and a CRM: Model Context Protocol's script and mail records show on hundreds of thousands of small sites, Protocol Buffers rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Model Context Protocol: 2–200 employees
- 42%
- Protocol Buffers: 2–200 employees
- 46%
- Model Context Protocol: 1,000+ employees
- 31%
- Protocol Buffers: 1,000+ employees
- 26%
- Postings per company, 90 days
- 3.2 · 2.1
- Website or DNS footprint
- 0 · 0
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | Model Context Protocol | share | Protocol Buffers | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 64 | 2% | 6 | 1% | even |
| 2-10 employees | 252 | 7% | 37 | 9% | even |
| 11-50 employees | 490 | 13% | 61 | 14% | even |
| 51-200 employees | 800 | 22% | 99 | 23% | even |
| 201-500 employees | 548 | 15% | 73 | 17% | Protocol Buffers |
| 501-1000 employees | 408 | 11% | 41 | 10% | even |
| 1001-5000 employees | 612 | 16% | 65 | 15% | even |
| 5001-10000 employees | 160 | 4% | 13 | 3% | even |
| 10,001+ employees | 376 | 10% | 36 | 8% | even |
| Segment | Model Context Protocol | share | Protocol Buffers | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 1,931 | 52% | 205 | 48% | Model Context Protocol |
| Business & finance services | 781 | 21% | 79 | 18% | Model Context Protocol |
| Manufacturing & industry | 276 | 7% | 77 | 18% | Protocol Buffers |
| Media & content | 145 | 4% | 18 | 4% | even |
| Commerce & trade | 99 | 3% | 9 | 2% | even |
| Consumer services & leisure | 85 | 2% | 6 | 1% | even |
| Utilities & infrastructure | 85 | 2% | 8 | 2% | even |
| Public, community & associations | 82 | 2% | 6 | 1% | even |
| Health care | 67 | 2% | 3 | 1% | even |
| Transport, logistics & rental | 50 | 1% | 12 | 3% | even |
| Property & construction | 48 | 1% | – | – | outside top 12 |
| Automotive | 30 | 1% | 4 | 1% | even |
| Hospitality & travel | – | – | 2 | 0% | outside top 12 |
| Segment | Model Context Protocol | share | Protocol Buffers | share | Leans |
|---|---|---|---|---|---|
| United States | 2,391 | 64% | 288 | 67% | Protocol Buffers |
| United Kingdom | 285 | 8% | 32 | 7% | even |
| Germany | 212 | 6% | 25 | 6% | even |
| Canada | 106 | 3% | 6 | 1% | even |
| France | 103 | 3% | 9 | 2% | even |
| India | 52 | 1% | 7 | 2% | even |
| Netherlands | 52 | 1% | 4 | 1% | even |
| Sweden | 42 | 1% | 5 | 1% | even |
| Australia | 41 | 1% | – | – | outside top 12 |
| Spain | 33 | 1% | – | – | outside top 12 |
| Brazil | 32 | 1% | 4 | 1% | even |
| Poland | 32 | 1% | 5 | 1% | even |
| Japan | – | – | 5 | 1% | outside top 12 |
| Switzerland | – | – | 4 | 1% | outside top 12 |
| Segment | Model Context Protocol | share | Protocol Buffers | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 4,805 | 33% | 107 | 9% | Model Context Protocol |
| Software engineering | 4,101 | 28% | 940 | 75% | Protocol Buffers |
| IT operations & business systems | 1,440 | 10% | 30 | 2% | Model Context Protocol |
| Product, program & project management | 659 | 5% | 5 | 0% | Model Context Protocol |
| Sales | 461 | 3% | 2 | 0% | Model Context Protocol |
| Engineering (non-software) | 205 | 1% | 34 | 3% | even |
| Marketing & communications | 171 | 1% | 4 | 0% | even |
| Customer service & success | 146 | 1% | 4 | 0% | even |
| Design & UX | 109 | 1% | – | – | outside top 12 |
| General management & consulting | 76 | 1% | – | – | outside top 12 |
| Finance & accounting | 63 | 0% | 2 | 0% | even |
| Business development & strategy | 62 | 0% | – | – | outside top 12 |
| arts media and entertainment | – | – | 1 | 0% | outside top 12 |
| construction and civil | – | – | 1 | 0% | outside top 12 |
| Unclassified | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Model Context Protocol →
Companies using Protocol Buffers →
api specs data formats ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Protocol Buffers is named by 431 companies in job postings and Model Context Protocol by 3,710; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/model-context-protocol-vs-protocol-buffers)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- Job postingsRead hourly from career sites. A tool counts when the employer's own text names it as the team's system; both tools can count for one company.
- Website and DNSScripts and embeds on the company's pages, plus SPF, DKIM, MX and CNAME records of its domain that point at the vendor.
- SegmentsCountry, size and industry from the company profile built from its website.
- Not a reviewNo ratings, prices or feature claims. For those, read the vendors.
Model Context Protocol vs Protocol Buffers: questions
Which is more used, Model Context Protocol or Protocol Buffers?
By companies naming it in their own job postings, Model Context Protocol (3,710) over Protocol Buffers (431). By website-and-DNS footprint, Protocol Buffers (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Model Context Protocol?
42% of Model Context Protocol companies have 2 to 200 employees, against 46% for Protocol Buffers. 31% of Model Context Protocol companies have over 1,000 employees, against 26% for Protocol Buffers.
Do companies run both?
0 companies name both in their postings, usually Model Context Protocol in marketing and Protocol Buffers in sales, or during a migration.
Where do these numbers come from?
From the employer's own text in job postings read hourly from career sites, and from scripts found on company websites in our crawl. No vendor data, no surveys.
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