Dynamic RAG Engine preventing AI hallucinations in Korean Finance and Crypto markets.
Dynamic RAG Engine preventing AI hallucinations in Korean Finance and Crypto markets. The ragalgo mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 7 defined tools rather than through you.
RagAlgo is an MCP Server that provides mathematically scored financial context (Korean Stocks/Crypto) to AI agents. We focus on "State-of-Truth" (Daily Closed Data) to prevent AI hallucinations caused by real-time market noise.
Everything the assistant can do here goes through one of these:
get_news_scored — [RECOMMENDED] News WITH AI Sentiment Scores (-10 ~ +10). Filters out noiseget_news — [Advanced] Raw News WITHOUT scores. Includes 0-score noise. Use only if you build your own scorerget_chart_stock — [Core] Global Stock (US/UK/JP/KR) Technical Analysis (Daily Close)get_chart_coin — [Core] Global Crypto Technical Analysis (Daily Close)get_snapshots — [Best] Market Overview (News + Chart + Trend) in one callget_financials — Corporate Financials (Quarterly/Yearly)search_tags — Convert names (e.g., "Samsung") to RagAlgo TagsYou will need one environment variable: RAGALGO_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Ragalgo's toolset — get_news_scored, get_news, get_chart_stock and 4 more — is a fair guide to whether it matches your workflow. It is maintained by kokogo100; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Ragalgo's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| get_news_scored | **[RECOMMENDED]** News **WITH** AI Sentiment Scores (-10 ~ +10). Filters out noise. |
| get_news | **[Advanced]** Raw News **WITHOUT** scores. Includes 0-score noise. Use only if you build your own scorer. |
| get_chart_stock | **[Core]** Global Stock (US/UK/JP/KR) Technical Analysis (Daily Close). |
| get_chart_coin | **[Core]** Global Crypto Technical Analysis (Daily Close). |
| get_snapshots | **[Best]** Market Overview (News + Chart + Trend) in one call. |
| get_financials | Corporate Financials (Quarterly/Yearly). |
| search_tags | Convert names (e.g., "Samsung") to RagAlgo Tags. |
{
"mcpServers": {
"ragalgo": {
"url": "https://ragalgo-service-production.up.railway.app/sse",
"env": {
"RAGALGO_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| RAGALGO_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.