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Trend detail

AI Machine LearningAI and automationValidated100% confidenceRisingStableRecurring

Model Context Protocol

Rank #9 with 9 captured signals across 4 sources.

Model Context Protocol is a validated AI Machine Learning trend driven by developer activity with 9 signals across 4 sources (strongest on Npm).

Total score113.8
Movement0
Momentum+7.1%
First seen12 Mar 2026
Model Context Protocol

About

What is Model Context Protocol?

Protocol for communicating between LLMs and applications

The Model Context Protocol (MCP) is an open standard and open-source framework introduced by Anthropic in November 2024 to standardize the way artificial intelligence (AI) systems like large language models (LLMs) integrate and share data with external tools, systems, and data sources. MCP provides a universal interface for reading files, executing functions, and handling contextual prompts. Following its announcement, the protocol was adopted by major AI providers, including OpenAI and Google DeepMind.

Read more on Wikipedia

History

Score trajectory

Dashed line shows a medium-confidence projection using Holt trend.

Score

Component breakdown

Platform intelligence

Source-by-source breakdown

4 sources · 9 signals
developer (4)community (1)social (1)search (1)knowledge (1)analytics (1)
46.3 pts estimated contribution
npm monthly downloads
last 30 days
npm weekly downloads
last 7 days
npm download growth
month-over-month
Developer 40.3 · Diversity 6.0Latest healthy fetch kept 45 of 45 items
22.1 pts estimated contribution
Developer 16.1 · Diversity 6.0Latest healthy fetch kept 15 of 15 items

Why now

Why is Model Context Protocol trending?

Identity

Aliases & duplicates

Tracked aliases
model context protocol
Model Context Protocol

Opportunity

What you can do with it

Stable
Composite49%
Discovery53%
SEO41%
Content34%
Product65%
Investment49%
Product opportunity: builder demand is leading this trend (56 developer score across 4 sources)

Prediction

Breakout outlook

Stable · 30% confidenceMulti-source coverage (4 sources) · High base score (113.8) · Recurring pattern detected (8 reappearances)
Next 5 runs · Medium confidence · Holt trendHolt trend · 16.3% backtest error
113.1 to 116.2 projected
Recurring8 reappearances after gaps averaging 0.2 runs
100% confidence

Audience

Who and where this seems relevant

DeveloperAudience segment
9 signals
Language: ENLanguage
6 signals
Us MarketMarket segment
4 signals
B2CMarket segment
3 signals
ConsumerAudience segment
2 signals
FounderAudience segment
1 signals

Related

Adjacent trends

Geo

Where it is showing up

No location signals yet.