MCPMark
Stress test for realistic MCP use across Notion, GitHub, filesystem, PostgreSQL and Playwright servers.
Reference by EVAL SYS, with LobeHub and NUS TRAIL
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About
Use cases: llm-evaluation
Reviews
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About the benchmark
- Benchmark site
- mcpmark.ai/
- Maintainer
- EVAL SYS, with LobeHub and NUS TRAILmcpmark.ai
- Launched
- 2025-09arxiv.org
- Leaderboard
- mcpmark.ai/leaderboard/verified
We link to the official leaderboard instead of copying scores. Benchmarks get gamed and saturate; we never use them to rank listings.
Signals
- Stars
- 467
- Forks
- 50
- Open issues
- 19
- Last commit
- Jun 12, 2026 (4 months ago)
- Last release
- Sep 20, 2025 (1 year ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/eval-sys/mcpmark
- Website
- mcpmark.ai/
- Docs
- mcpmark.ai/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
MCPMark benchmark. Agent Mart. https://agentmart.dev/reference/mcpmark (last updated 2026-10-24)