MCP-GRANITE: leaderboard

Metric: Task completion (%; share of runs whose final answer contains every required output string of the scenario; 972 runs per model: 81 multi-step scenarios in nine edge domains, each at four tool-interface granularities from fine-grained primitives to one dispatch tool, three repetitions; a Google ADK agent over MCP with the model served locally through Ollama, temperature 0, at most 10 turns; printed as a fraction with its 95% interval and scaled to percent). Source: arxiv.org. Saturation forecast: Around December 2026. 9 models tracked.

Top models

#ModelScore
1GPT-OSS-20B34

Interactive version: theaggregate.ai/benchmark?slug=mcp-granite · How It Works · Data refreshed daily, snapshot 2026-09-29.