Ragalgo

@kokogo100

About Ragalgo

Dynamic RAG Engine for AI Reliability. We provide mathematically scored context & sanitized data to prevent hallucinations in both static & volatile domains (starting with Korean Finance).

#finance #korea #rag #stock #crypto #analysis

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "ragalgo": {
      "command": "node",
      "args": [
        "dist/index.js"
      ],
      "env": {
        "RAGALGO_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Tools

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Overview

What is Ragalgo?

Ragalgo is an MCP Server that provides mathematically scored financial context (Korean Stocks/Crypto) to AI agents, focusing on daily closed data to reduce AI hallucinations from real-time market noise. It delivers analysis reports instead of raw tick data, aimed at developers building reliable investment advisors.

How to use Ragalgo?

Configure it in Claude Desktop via Cloud (URL) or Local (npx) mode, setting the RAGALGO_API_KEY. A free 1,000-call key is available at the RagAlgo Dashboard. Start with the example repository for step-by-step recipes.

Key features of Ragalgo

Scored context (0–100) and Zones (Forest vs Tree)
Daily Close data for US, UK, JP, KR, and Crypto
Recommended scored news filtering (get_news_scored)
Core stock and crypto technical analysis charts
Unified market snapshots in one call
Corporate financials and search tags for assets

Use cases of Ragalgo

Build an AI “Investment Advisor” that uses post-market analysis
Create a daily morning briefing bot with market summary
Verify technical signals using AI-generated sentiment scores
Develop an autonomous reasoning agent for mock trading audits
Monitor global markets without real-time noise

FAQ from Ragalgo

Why does Ragalgo use daily close data instead of real-time?

Real-time tick data is noisy and can cause LLMs to hallucinate patterns. Daily close data provides a confirmed, cleaner state-of-truth for AI analysis.

What markets does Ragalgo support?

It fully supports Korea (KOSPI/KOSDAQ), USA (NYSE/NASDAQ), Japan (Nikkei 225), UK (LSE), and Global Crypto (Upbit/Binance).

Should I use get_news_scored or get_news?

Use get_news_scored for filtered, AI-scored news. Use get_news only if you need raw unfiltered data and plan to build your own scorer.

How can I get an API key?

Obtain a free 1,000-call key instantly from the RagAlgo Dashboard at ragalgo.com/dashboard.

Is there a real-time option available?

Yes, a WebSocket stream (wss://ragalgo-relay-server-1-production.up.railway.app) is available for Business Plan subscribers, intended for monitoring dashboards, not LLM inference.

Frequently asked questions

Why does Ragalgo use daily close data instead of real-time?

Real-time tick data is noisy and can cause LLMs to hallucinate patterns. Daily close data provides a confirmed, cleaner state-of-truth for AI analysis.

What markets does Ragalgo support?

It fully supports Korea (KOSPI/KOSDAQ), USA (NYSE/NASDAQ), Japan (Nikkei 225), UK (LSE), and Global Crypto (Upbit/Binance).

Should I use get_news_scored or get_news?

Use `get_news_scored` for filtered, AI-scored news. Use `get_news` only if you need raw unfiltered data and plan to build your own scorer.

How can I get an API key?

Obtain a free 1,000-call key instantly from the RagAlgo Dashboard at ragalgo.com/dashboard.

Is there a real-time option available?

Yes, a WebSocket stream (wss://ragalgo-relay-server-1-production.up.railway.app) is available for Business Plan subscribers, intended for monitoring dashboards, not LLM inference.

Comments

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