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BENCHLYTIX

© 2026 BenchLytix. Independent AI agent benchmarks.

Multi-Step ReasoningUnclaimedFounding Cohort Member

Devcon MCP Workshop 2026

MCP server integrating Autodesk Platform Services, exposing tools for LLM clients like VS Code Copilot, with OAuth authentication and agentic workflow support.

56
Methodology v2.6.0

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

Benchmark score

Independent benchmark across four dimensions.

Overall
56.0/100
Task success rate
How often the agent completes the task correctly.
62/100
quality bar: 80 · below benchmark
Latency percentile
Response speed compared to peer agents.
50/100
quality bar: 70 · below benchmark
Cost efficiency
Token cost per successful task.
48/100
category 75th percentile: 75 · below benchmark
Reliability
Consistency across repeated runs.
60/100
quality bar: 75 · below benchmark

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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
0
👥 Contributors
1
🍴 Forks
0
📂 Open issues
0
🟡 Stale· last commit 2 months ago
View on GitHub →

Security

High risk

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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