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

mcp server

Dayze — Life in Days + Notable People

People + life-in-days knowledge for AI agents. Public MCP; x402 on Base; OAuth for private tools.

Description as published by the maintainer. Source

  • version 1.6.0
  • active

active — Most recent push to the repository was 2026-07-18.

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 2026-07-18 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 1.6.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-11 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 2026-07-11 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.clawfetch/mcp — last commit 2026-08-06, shares x402
    Web intelligence for AI agents: fetch, render, extract, research. x402 micropayments, no API keys.
  • ai.firmbrain/x402-services — last commit 2026-07-24, shares x402
    The only x402 MCP server for Robinhood Chain (chainId 4663) - 147 onchain, trading & AI tools.
  • TensorFeed x402 Base Reader — last commit 2026-07-28, shares x402
    Read-only Base mainnet reader. Verifies x402 payment settlements + AFTA federation status.
  • Vaaya — last commit 2026-08-06, shares x402
    Pay-per-call agent superpowers: media/video gen, product demos, research, GTM, scraping, compute.
  • Taste — last commit 2026-05-23, shares x402
    Expert review for AI agents. On-chain proof of human review.
  • ToolSnap MCP — last commit 2026-07-26, shares x402
    Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 38 tools.
  • Sivut SEC Crypto Filing Radar — last commit 2026-06-09, shares x402
    SEC EDGAR crypto filing radar MCP with x402-paid Base USDC data URLs.
  • com.agishub/agent-memory — last commit 2026-08-02, shares x402
    Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402
  • com.agishub/ai-toolkit — last commit 2026-08-02, shares x402
    AI tools for agents: chat, summarize, classify, entity extraction, embeddings, transcription. x402
  • com.agishub/crypto-prices — last commit 2026-08-02, shares x402
    Live USD crypto spot prices by ticker (BTC, ETH, SOL, …) for AI agents. x402 pay-per-call.

These share tags the maintainers applied themselves, such as x402. 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: ai-agents, life-in-days, mcp, model-context-protocol, notable-people, x402.

Bring your own setup

We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.

Join ZBS AI Practice Lab

Sources

  1. gohluke/dayze-mcp on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.