Connect-MCP

io.github.LembaGang/headless-oracle

io.github.LembaGang/headless-oracle · v5.0.0

Ed25519-signed market open/close receipts for NYSE, NASDAQ, LSE, JPX, Euronext, HKEX, and SGX.

MCPremoteno credentialsFinance

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 4 tools, protocol 2024-11-05 · checked 2026-10-17

Test & rating

A 95/100

What it does: 4 tools · 4 read, 0 write · Finance, Crypto, Calendar

Test call list_exchanges: worked (931 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://headlessoracle.mmsebenzi-oracle.workers.dev/mcp

Tools

4 tools listed at last check
  • get_market_status Returns Ed25519-signed market-state receipt for pre-trade verification and pre-execution gating across 28 global exchanges. Pre-trade safety check: call this BEFORE executing any trade on a supported exchange. Model-agnostic: works identically regardless of which AI model consumes it — GPT-5 nano, C
  • get_market_schedule Returns holiday-aware trading session schedule with next open/close UTC timestamps for any of 28 exchanges. Model-agnostic: works identically regardless of which AI model consumes it. Pairs with get_market_status signed receipts. WHEN TO USE: planning trade execution windows; checking market hours,
  • list_exchanges Returns directory of all 28 exchanges supported by Headless Oracle: MIC codes, exchange names, IANA timezones, market hours metadata, and mic_type (iso|convention). Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: call once at agent startup to discover support
  • get_payment_options Returns available payment and authentication options for accessing live market data. Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: when you need to understand how to authenticate or pay before making a request that requires a key or payment. Returns upgrade

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