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Agent Tool Intelligence scores 40K MCP servers, reveals adoption gap

Agent Tool Intelligence has developed an open-source platform to score nearly 40,000 MCP servers based on quality, community adoption, and trust. Their new additive scoring model revealed that 54% of tools have good quality but lack community visibility, highlighting a significant gap in agent tool discoverability. The platform provides a clear path for developers to improve their tool's ranking, offering a public-facing grading system and embeddable badges. AI

IMPACT Provides developers with a framework to improve agent tool discoverability and adoption.

RANK_REASON This is a product launch for a developer tool that scores other tools, not a core AI model release or significant industry event.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Agent Tool Intelligence scores 40K MCP servers, reveals adoption gap

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
This is a product launch for a developer tool that scores other tools, not a core AI model release or significant industry event.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
113 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Agent Tool Intelligence ·

    We Scored 39,752 MCP Servers — Here's What We Found

    <h1> We Scored 39,752 MCP Servers — Here's What We Found </h1> <p>We built an open-source platform that scores MCP servers across three independent dimensions. After scoring nearly 40K tools, the data revealed some uncomfortable truths — and one big problem with how we were measu…