MCP-Atlas
Scale AI benchmark for MCP servers: 1,000 tasks across 36 servers and 220 tools.
Scale AI's MCP-Atlas benchmark spans 1,000 tasks across 36 MCP servers and 220 tools, and its official leaderboard tops out at 62.3% while third-party aggregators quote 85-88% figures that are largely vendor self-reported.
Contested claim: Quoting a single 85-88% MCP leaderboard number as if it were the benchmark's authoritative result.
Key facts
| 2026 frontier | Scale's own paper reports a top of 62.3% (Claude Opus 4.5); third-party aggregators list 88.1% for Muse Spark 1.1 |
|---|---|
| Credibility | Two very different number systems circulate. Scale's official leaderboard tops out around 62%, while aggregator sites show 85-88% from vendor self-reports. BenchLM, one such aggregator, labels 40 of 42 rows as vendor-reported and only 2 as independently evaluated. |
| Verification | Verified |
| Source | Scale AI MCP-Atlas leaderboard |
FAQ
What does MCP-Atlas measure?
Scale AI benchmark for MCP servers: 1,000 tasks across 36 servers and 220 tools.
What is the 2026 frontier for MCP-Atlas?
Scale's own paper reports a top of 62.3% (Claude Opus 4.5); third-party aggregators list 88.1% for Muse Spark 1.1
Is MCP-Atlas credible?
Two very different number systems circulate. Scale's official leaderboard tops out around 62%, while aggregator sites show 85-88% from vendor self-reports. BenchLM, one such aggregator, labels 40 of 42 rows as vendor-reported and only 2 as independently evaluated.
Is the commonly cited claim about MCP-Atlas accurate?
Quoting a single 85-88% MCP leaderboard number as if it were the benchmark's authoritative result.