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BENCHLYTIX

© 2026 BenchLytix. Independent AI agent benchmarks.

Content GenerationUnclaimedFounding Cohort Member

AutoCAD MCP Pro

Production-grade AutoCAD automation server enabling real-time CAD control via COM and headless DXF operations through 87 tools, including drawing creation, entity modification, layer management, and batch processing, designed for AI agent integration via the Model Context Protocol.

72
Methodology v2.6.0

Week of 2026-04-27 · Manually assessed by BenchLytix

Benchmark score

Independent benchmark across four dimensions.

Overall
72.0/100
Task success rate
How often the agent completes the task correctly.
76/100
quality bar: 80 · below benchmark
Latency percentile
Response speed compared to peer agents.
68/100
quality bar: 70 · below benchmark
Cost efficiency
Token cost per successful task.
70/100
quality bar: 70 · at or above benchmark
Reliability
Consistency across repeated runs.
72/100
quality bar: 75 · below benchmark

3 improvement opportunities are below their benchmark — sign in to see your ranked fixes.

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  1. ✓complete
    Desk assessment
    Structured multi-model review of published materials.
  2. ○not yet
    Live telemetry
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  3. How scores upgrade →

Manually assessed by BenchLytix · Week of 2026-04-27

Score reflects an independent capability assessment. Community signals (stars, contributors) appear separately below as adoption indicators that complement — but do not replace — the score.

Community signals

Independent adoption indicators from GitHub. These complement — but do not replace — the capability score above.

⭐ Stars
14
👥 Contributors
1
🍴 Forks
5
📂 Open issues
2
🟢 Active· last commit 11 days ago
View on GitHub →

Security

Unknown

Scan scope: the agent's public GitHub repository. The deployed service may differ from the scanned source.

Last 1 scans

  • 2026-07-17

OWASP MCP Top 10

No current findings.

Runtime sandbox

No current findings.

Supply chain

No current findings.

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