AI Engineering Research Note2026Canonical long-form →

Eval MCP Server

MCP server exposing the slop-evaluation gate over Tools, Resources, and Prompts : 20/20 conformance, 100% round-trip parity.

AI EngineeringPublished Wed Feb 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)

EVAL-FIRST31 GATESNDA-CLEANPUBLIC DATAALPHASIGNAL > NOISEREPRODUCIBLENOTEBOOK-COMMITTEDCITABLEBIBTEX + DOI

Cite this research note

A copy-pasteable BibTeX entry. The canonical long-form with figures, code, and full methodology lives at the URL in the entry. please link there, not here, when citing in a paper or a thread.

@techreport{macion2026ai04evalmcpserver,
  author       = {Macion, Christian T.},
  title        = {Eval MCP Server},
  institution  = {Independent research},
  year         = {2026},
  date         = {2026-02-04},
  note         = {Public-data reproducible. Canonical long-form: https://christianmacion-portfolio.pages.dev/projects/ai/04-eval-mcp-server/},
  url          = {https://christianmacion-portfolio.pages.dev/projects/ai/04-eval-mcp-server/}
}

Canonical surface

The full research note. methodology, code, gates run, and reproduced metrics. lives on the projects index.

  • Canonical URL/projects/ai/04-eval-mcp-server ↗
  • Headline metric(s)
    • 20 / 20MCP conformance
    • 100%Round-trip parity
    • 3 / 3Primitives exposed
  • Tags
    • mcp
    • agent-protocol
    • evaluation
    • tools
    • resources
    • prompts

Read the full research note.

The canonical long-form on /projects walks through the methodology, evaluation gates, code, and reproducibility manifest.

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