ZBS Index What actually exists in applied AI, with the source next to it

mcp server

com.clauxel.codexrunledger/codexrunledger-mcp

Codex run receipts your reviewer can trust.

Description as published by the maintainer. Source

  • version 1.0.0
  • active

active — Most recent push to the repository was 2026-05-19.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-05-19 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 1.0.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-05-19 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-05-19 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub

Where to get it

Related, by what their authors tagged them

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  • io.github.archonics/mcp-audit — last commit 2026-05-14, shares audit
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  • io.github.Bajuzjefe/aikido-mcp — last commit 2026-02-26, shares audit
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  • io.github.blackwell-systems/knowing — last commit 2026-07-08, shares audit
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  • io.github.commitshow/audit — last commit 2026-07-24, shares audit
    Score any public GitHub repo 0-100 against the commit.show audit rubric.
  • io.github.commitshow/legitshow-search — last commit 2026-07-24, shares audit
    Search launched software (SaaS, AI tools, MCP servers) by measured production-readiness.
  • Solana Security Standard — last commit 2026-08-05, shares audit
    Scan Solana/Anchor code against the Solana Security Standard and serve the ruleset to MCP clients.
  • io.github.Delego-Dev/delego — last commit 2026-06-11, shares audit
    Intent-bound action authorization for AI agents: policy, human approval, and a signed audit trail.

These share tags the maintainers applied themselves, such as audit, remote-mcp. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

Also from clauxel

How the author describes it

Topics the maintainer set on GitHub: ai-agents, audit, codex, mcp, remote-mcp.

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Sources

  1. clauxel/codex-run-ledger-mcp on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.