Ragalgo
Ground agent answers on Korean finance and crypto sources instead of guessing from model weights alone.
Overview
io.github.kokogo100/ragalgo is a MCP server for the Build phase that adds dynamic RAG retrieval so agents answer Korean finance and crypto questions with less hallucination risk.
What is this MCP server?
- Dynamic RAG engine aimed at reducing hallucinations in finance and crypto Q&A
- stdio npm package ragalgo-mcp-server (registry version 1.0.4, server schema 1.0.0)
- Focused on Korean finance and crypto market context
- GitHub source at kokogo100/ragalgo-mcp-server
- npm package version 1.0.4
- server.json version 1.0.0
- stdio transport via ragalgo-mcp-server
Community signal: 5 GitHub stars.
What problem does it solve?
Agents improvising Korean finance and crypto facts creates trust-breaking errors the moment you ship a customer-facing bot.
Who is it for?
Indie builders adding cited, market-specific Q&A to an AI agent without building a custom RAG stack from scratch.
Skip if: Teams that need regulated investment advice workflows, non-Korean-only corpora, or a hosted vector database with SLAs out of the box.
What do I get? / Deliverables
After you register the server, your agent can pull grounded context through MCP before it drafts answers or trade commentary.
- MCP tools that retrieve context for finance and crypto prompts
- Agent workflows that prefer grounded snippets over bare LLM completion
Recommended MCP Servers
Journey fit
RAG wiring lands when you connect retrieval to your product or agent stack, after you know what market you are serving. Dynamic retrieval and grounding are integration work: pipe corpora, query APIs, and citation behavior into Claude Code or Cursor.
How it compares
MCP RAG integration, not a hosted Bloomberg terminal or a passive agent skill.
Common Questions / FAQ
Who is io.github.kokogo100/ragalgo for?
Solo and small-team builders wiring Claude Code, Cursor, or similar agents to Korean finance and crypto knowledge with retrieval instead of pure generation.
When should I use io.github.kokogo100/ragalgo?
Use it during Build when you integrate agent tooling and need dynamic RAG before shipping research, alerts, or support bots that touch markets.
How do I add io.github.kokogo100/ragalgo to my agent?
Install the npm package ragalgo-mcp-server, configure stdio in your MCP client, point at the published server entry, and restart the agent so finance and crypto tools appear in the tool list.