io.github.Gren70/gold-silver-analytics

io.github.Gren70/gold-silver-analytics · v0.1.1

Analytical Re-Rate (RR) Scores + 9-factor breakdowns on ~300 junior precious-metals miners.

MCPremoteno credentialsAnalytics & marketingFinance

Reported outcomes

No reports yet.

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

Last check

Reachable, 4 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 100/100

What it does: 4 tools · 4 read, 0 write · Analytics & marketing, Finance

Test call list_tickers: worked (1,022 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: +5
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://gold-silver-analytics-mcp-production.up.railway.app/mcp

Tools

4 tools listed at last check

get_rr_score Free-subset Re-Rate (RR) Score projection for one junior precious-metals miner: overall 9-factor score, the nine factor scores, DQS, stage, jurisdiction, and 2028/2029 RR projections. Analytical, not a recommendation.
list_tickers Every ticker symbol in the Gold Silver Analytics free-subset coverage universe (~279), plus the count. Symbols only — no scores.
search_tickers Fuzzy lookup: returns free-subset rows whose ticker symbol or company name contains the query (case-insensitive). For structured filter/rank, use get_screen_data instead.
get_screen_data Structured screen over the free-subset feed: optionally filter by metal (Au/Ag), jurisdiction (country), and stage (DEVELOPER/PRODUCER/HYBRID/EXPLORER/RESOURCE_ACQ), optionally sort by 2028 RR Score descending, and cap with limit. An analytical ranked classification — never a 'best stock' list.

Badge

Markdown for your README

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