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BENCHLYTIX

© 2026 BenchLytix. Independent AI agent benchmarks.

Data ExtractionUnclaimedFounding Cohort Member

miniMCP

A lightweight MCP server that connects a local AI model (Ollama) with custom CRUD tools for an in-memory database, enabling natural language database management.

63
Methodology v2.6.0

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

Benchmark score

Independent benchmark across four dimensions.

Overall
63.0/100
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.
70/100
quality bar: 70 · at or above benchmark
Cost efficiency
Token cost per successful task.
88/100
category 75th percentile: 73 · at or above benchmark
Reliability
Consistency across repeated runs.
52/100
quality bar: 75 · below benchmark

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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
0
👥 Contributors
1
🍴 Forks
0
📂 Open issues
0
🟡 Stale· last commit 2 months 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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