MCPVerse: An Expansive, Real-World Benchmark for Agentic Tool Use

• URL: http://arxiv.org/abs/2508.16260v2
• Date: Sat, 11 Oct 2025 07:48:07 GMT
• Title: MCPVerse: An Expansive, Real-World Benchmark for Agentic Tool Use
• Authors: Fei Lei, Yibo Yang, Wenxiu Sun, Dahua Lin,
• Abstract summary: We introduce MCPVerse, a real-world benchmark for evaluating agentic tool use.<n> MCPVerse integrates more than 550 real-world, executable tools to create an unprecedented action space exceeding 140k tokens.<n>We benchmarked the state-of-the-art LLMs across three modes (Oracle, Standard, and Max-Scale)
• Score: 72.53177559476704
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Large Language Models (LLMs) are evolving from text generators into reasoning agents. This transition makes their ability to use external tools a critical capability. However, evaluating this skill presents a significant challenge. Existing benchmarks are often limited by their reliance on synthetic tools and severely constrained action spaces. To address these limitations, we introduce MCPVerse, an expansive, real-world benchmark for evaluating agentic tool use. MCPVerse integrates more than 550 real-world, executable tools to create an unprecedented action space exceeding 140k tokens, and employs outcome-based evaluation with real-time ground truth for time-sensitive tasks. We benchmarked the state-of-the-art LLMs across three modes (Oracle, Standard, and Max-Scale), revealing that while most models suffer performance degradation when confronted with larger tool sets, the agentic models, such as Claude-4-Sonnet, can effectively leverage expanded exploration spaces to improve accuracy. This finding not only exposes the limitations of state-of-the-art models in complex, real-world scenarios but also establishes MCPVerse as a critical benchmark for measuring and advancing agentic tool use capabilities.

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