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

mcp server

Sanction

Authorize an AI agent's spend & credential use before it acts — budgets, encrypted vault, audit.

Description as published by the maintainer. Source

  • version 0.7.0
  • active

active — Most recent push to the repository was 2026-08-05.

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 2026-08-05 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 0.7.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-15 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-07-15 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.marchward/mcp-server — last commit 2026-07-01, shares agent-governance
    Runtime authority for AI agents: credential mediation, spend cap, approval gates, audit log.
  • PromptSpeak Governance — last commit 2026-07-05, shares agent-governance
    Pre-execution governance for AI agents. Validates tool calls before they execute.
  • io.github.denial-web/agent-immune — last commit 2026-07-24, shares agent-governance
    AI agent security: prompt injection detection, semantic memory, output scanning, prompt hardening
  • Haldir — last commit 2026-04-22, shares agent-governance
    Guardian layer for AI agents: identity, secrets, audit via MCP.

These share tags the maintainers applied themselves, such as agent-governance. 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: agent-governance, ai-agents, llm, mcp, model-context-protocol, spend-authorization, typescript.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. ericlovold/sanction on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.