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

mcp server

io.github.dingdawg/agent-spend-policy-mcp

Local agent spend-policy checks. No funds, keys, payment authority, or network access.

Description as published by the maintainer. Source

  • version 0.1.1
  • active

active — Most recent push to the repository was 2026-08-06.

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 2026-08-06 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 6 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 0.1.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-08-05 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 2026-08-05 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

  • com.scopeblind/protect-mcp — last commit 2026-07-09, shares policy-engine
    Fail-closed Cedar policy gate + Ed25519 signed receipts for agent tool calls. Denies on any error.
  • Aegis — AI Agent Governance — last commit 2026-05-05, shares policy-engine
    Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging.
  • Aperion Shield — last commit 2026-08-04, shares policy-engine
    Local guardrail proxy that blocks destructive MCP tool calls, rug pulls, and tool poisoning
  • io.github.authzx/mcp-gateway — last commit 2026-07-13, shares policy-engine
    AuthzX MCP Gateway — policy-enforcing proxy between AI agents and MCP servers
  • io.github.archradhq/deterministic — last commit 2026-05-21, shares deterministic, governance
    Deterministic IR/IR-LINT validation, policy packs, drift vs exports (archrad). Apache-2.0.
  • THIRI Chord Intelligence — last commit 2026-08-01, shares deterministic
    Deterministic music theory for agents: analyze, voice, reharmonize, conduct — computed, not guessed
  • AINumbers Fintech Intelligence Suite — last commit 2026-08-06, shares deterministic
    530 MCP tools across 561 fintech tools: ChainGraph AP2 decisions, execution_hash. Zero PII.
  • Boyce — last commit 2026-04-28, shares deterministic
    Deterministic SQL compiler for AI agents. Your agent stops guessing SQL.
  • io.github.c64dos-png/vector-mirror — last commit 2026-06-12, shares deterministic
    Deterministic SVG perception for LLM agents — measures, never guesses. MCP server.
  • Arezzo — last commit 2026-04-28, shares deterministic
    Deterministic Google Docs API compiler. Your agent stops silently corrupting documents.

These share tags the maintainers applied themselves, such as policy-engine, deterministic, 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.

Also from dingdawg

How the author describes it

Topics the maintainer set on GitHub: ai-agents, deterministic, governance, mcp, model-context-protocol, policy-engine, spend-policy, typescript.

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Sources

  1. DingDawg/dingdawg-agent-spend-policy-mcp on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.