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

mcp server

ProofSlip

Receipt-based verification for AI agent workflows — create, verify, and poll ephemeral proof objects

Description as published by the maintainer. Source

  • version 0.2.3
  • active

active — Most recent push to the repository was 2026-07-19.

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 1 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 2026-07-19 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
Package downloads 112 downloads Package downloads from the npm registry in this window. Includes continuous integration runs, mirrors and automated installs, so it overstates the number of human users. 2026-07-30 to 2026-08-05 npm
Latest published version 0.2.3 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-04-05 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-04-05 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

  • ai.aliengiraffe/spotdb — last commit 2026-08-05, shares agentic-workflow, agents
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  • SYNAPSE CHANNEL — last commit 2026-08-06, shares agentic-workflow, agents
    Local-first multi-agent coordination for messages, leases, shared plans, status, and resources.
  • a5c-ai-babysitter-architecture-patterns — last commit 2026-08-06, shares agentic-workflow
    System and API design guidance covering component boundaries, data flow, integration patterns, and scalability consider…
  • a5c-ai-babysitter-assimilate-popular-workflows — last commit 2026-08-06, shares agentic-workflow
    This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SK…
  • a5c-ai-babysitter-babysit-babysitter-issues — last commit 2026-08-06, shares agentic-workflow
    This skill should be used when the user asks to "babysit issues", "work on assigned issues", "check a5c-agent issues",…
  • a5c-ai-babysitter-catalog-babysitter-users — last commit 2026-08-06, shares agentic-workflow
    Discover public GitHub repositories that import defineTask from @a5c-ai/babysitter-sdk and maintain a deduplicated cata…
  • a5c-ai-babysitter-code-generation — last commit 2026-08-06, shares agentic-workflow
    Minimal, pattern-matching code output. Write the least code that satisfies requirements. Match existing project pattern…
  • a5c-ai-babysitter-code-review-patterns — last commit 2026-08-06, shares agentic-workflow
    Multi-dimensional code assessment across security, quality, performance, and maintainability with confidence-gated repo…
  • a5c-ai-babysitter-debugging-patterns — last commit 2026-08-06, shares agentic-workflow
    Root cause analysis frameworks including log-first investigation, git bisect correlation, and pattern-based diagnosis w…
  • a5c-ai-babysitter-fix-failing-pipelines — last commit 2026-08-06, shares agentic-workflow
    This skill should be used when the user asks to "fix pipelines", "fix CI", "check staging pipelines", "fix failing work…

These share tags the maintainers applied themselves, such as agentic-workflow, agents. 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.

How the author describes it

Topics the maintainer set on GitHub: agentic-workflow, agents, ai, ai-agents, mcp, reciept, reciept-generator.

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Sources

  1. Johnny-Z13/proofslip on GitHub — GitHub, observed , trust tier 3.
  2. @proofslip/mcp-server download counts — npm, observed , trust tier 3.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.