# MCP-Atlas

> 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.

Scale AI benchmark for MCP servers: 1,000 tasks across 36 servers and 220 tools.

- **Category:** MCP
- **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](https://labs.scale.com/leaderboard/mcp_atlas)
- **Last updated:** 2026-10-04

> Contested claim: Quoting a single 85-88% MCP leaderboard number as if it were the benchmark's authoritative result.