Server data from the Official MCP Registry
People + life-in-days knowledge for AI agents. Public MCP; x402 on Base; OAuth for private tools.
About
People + life-in-days knowledge for AI agents. Public MCP; x402 on Base; OAuth for private tools.
Remote endpoints: streamable-http: https://dayze.com/api/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
13 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-dayze-life-context": {
"url": "https://dayze.com/api/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Dayze MCP
Life Context for AI agents — reference Life Context Protocol (get_context_pack) plus public notable-people packs.
Install / try on Smithery: https://smithery.ai/servers/polaris/dayze
Pitch
Dayze is a pay-per-call people + life-in-days API for AI agents — notable packs with day-of-life numbers, similar people, and birthday peers. Public notable_* tools need no API key; USDC on Base via x402 after the free tier.
Quick try
# Streamable HTTP (JSON-RPC)
curl -X POST https://dayze.com/api/mcp \
-H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"curl","version":"1.0"}}}'
curl -X POST https://dayze.com/api/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/list"}'
# REST (compat)
curl https://dayze.com/api/v1/mcp
curl -X POST https://dayze.com/api/v1/mcp \
-H 'Content-Type: application/json' \
-d '{"tool":"notable_pack","parameters":{"slug":"albert-einstein"}}'
Timeline events include day_number (e.g. Einstein’s Nobel = Day 15,580).
Auth
- Public
notable_*tools: no login (x402 after free tier) - Private life-graph tools:
Bearer dayze_k_…or OAuthdayze_at_… - OAuth 2.1 + PKCE + DCR for Claude / ChatGPT / Gemini agents — see https://dayze.com/docs/agents
Transport
- Streamable HTTP JSON-RPC at
/api/mcp(initialize,tools/list,tools/call) - REST MCP-compatible at
/api/v1/mcp(GETcapabilities,POST{tool, parameters}) - GET
/api/mcpreturns discovery JSON (200); SSE sessions are not available on Netlify serverless
Tags
mcp · x402 · ai-agents · notable-people · life-in-days · knowledge-api · base · usdc
Glama install / Make Release
Dayze MCP is hosted at https://dayze.com/api/mcp. This repo ships a local
stdio adapter (server.mjs) so Glama can build/scan without putting a URL in CMD
(Glama rejects remote endpoints in CMD arguments).
- Open https://glama.ai/mcp/servers/gohluke/dayze-mcp/admin/dockerfile
- Build steps:
["npm install"] - CMD arguments:
["node", "./server.mjs"] - Click Build → wait for green → Build & Release (
1.6.2)
If Glama keeps checking out an old commit, use build steps:
["git fetch origin && git checkout origin/main", "npm install"]
Prefer connecting clients directly to https://dayze.com/api/mcp (Streamable HTTP + OAuth).
License
Documentation and listing metadata in this repo: MIT. The Dayze product and API remain proprietary; this repo exists so directories can index a public GitHub URL.
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