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agents benchmark

MCP-Mark

MCP-Mark evaluates LLMs on their ability to use Model Context Protocol (MCP) tools effectively, testing tool discovery, selection, invocation, and result interpretation across diverse MCP server scenarios.

Updated Aug 7, 2026

Published models8
Registry coverage8
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

MCP-Mark leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

8 rows
Columns

Show columns

1MAKimi K2.7 CodeMoonshot AI81.1%100.0%8CAug 7, 2026
2ACQwen3.7 MaxAlibaba Cloud / Qwen Team60.8%85.7%8CAug 7, 2026
3ACQwen3.7-PlusAlibaba Cloud / Qwen Team58.7%71.4%8CAug 7, 2026
4MAKimi K2.6Moonshot AI55.9%57.1%8CAug 7, 2026
5ACQwen3.6 PlusAlibaba Cloud / Qwen Team48.2%42.9%8CAug 7, 2026
6ACQwen3.5-397B-A17BAlibaba Cloud / Qwen Team46.1%28.6%8CAug 7, 2026
7DEDeepSeek-V3.2DeepSeek38.0%14.3%8CAug 7, 2026
8ACQwen3.6-35B-A3BAlibaba Cloud / Qwen Team37.0%0.0%8CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

MCP-Mark

MCP-Mark highlights

The top published results on this benchmark's own scale.

Rank #1Kimi K2.7 Code81.1%Rank #2Qwen3.7 Max60.8%Rank #3Qwen3.7-Plus58.7%Rank #4Kimi K2.655.9%

What is MCP-Mark?

Definition and scoring fields from the benchmark registry.

MCP-Mark evaluates LLMs on their ability to use Model Context Protocol (MCP) tools effectively, testing tool discovery, selection, invocation, and result interpretation across diverse MCP server scenarios.

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
MCP-Mark
Modality
text
Primary category
agents
Score direction
higher
LLMBoard eligible
No
Evaluation key
mcp-mark|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about MCP-Mark.

Which model scores highest on MCP-Mark?

Kimi K2.7 Code is currently ranked first with 81.1%.

What does MCP-Mark measure?

MCP-Mark evaluates LLMs on their ability to use Model Context Protocol (MCP) tools effectively, testing tool discovery, selection, invocation, and result interpretation across diverse MCP server scenarios.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

8 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
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