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How a Real-Time Price and Technical-Analysis MCP Works

In short: A real-time price and technical-analysis MCP is a read-only data pipeline where an LLM pulls market data as a "tool" and even gets indicators computed for it. The core idea is to trust no single source: poll several exchanges and aggregators, record freshness, reconcile when they disagree, and degrade gracefully when one dies.

A real-time price and technical-analysis MCP is a read-only data pipeline where an LLM pulls market data as a "tool" and even gets indicators computed for it. The core idea is to trust no single source: poll several exchanges and aggregators, record freshness, reconcile when they disagree, and degrade gracefully when one dies. Calling our own collector read-only, 715 coins were cached across 3 sources (upbit 267 and coinmarketcap 498 healthy), while one source (coingecko) had failed with a 429 Too Many Requests and gone stale by a day. That is why multi-source is not a luxury but a survival design.

In one line: this MCP is a read-only pipeline that polls several sources, records freshness and divergence, and computes indicators server-side; it survives on the remaining sources when one dies, and its output is educational and informational, not investment advice.
In plain terms: this MCP is a navigator reading several clocks. If one clock stops (a source outage) it keeps time from the others, and when the clocks disagree (price divergence) that gap itself becomes a signal.

One request flows as tool selection, multi-source fetch, reconcile/degrade, indicator compute, derived signal, and response. The figure below is that pipeline.

How does it reconcile when sources disagree?#

The same coin is priced differently per exchange. In the live call, BTC was about 89.54M KRW on Upbit versus about 92.88M KRW on CoinGecko, a measured gap of roughly 3-4% (and in USD it split too, about 58,520 to 60,235). The MCP does not hide this: it returns per-source values plus freshness side by side (compare), or merges them into a representative value. It goes further and builds a derived signal from cross-source data: the gap between Upbit KRW and global KRW at the same moment is the "kimchi premium," and for BTC this was a measured -3.60% (a reverse premium), meaning the domestic price was cheaper. A single source would miss that signal.

The bars below are the measured BTC prices: Upbit is lower than CoinGecko, which yields a reverse premium (-3.60%).

Price/TA MCP request flow - what each stage does (read-only measurements of our collector) · columns: Stage, What it does, Example · 출처 Hax hax.moche.ai/en/p/1021?ref=ai_answer
StageWhat it doesExample
Tool selectionLLM turns natural language into the right MCP toolget_coin, compare_sources
Multi-source fetchPoll exchanges/aggregators + record freshnessupbit, CMC, coingecko (3 sources)
Reconcile/degradeAdjust source disagreement, bypass a failed sourcesurvive on the rest on a 429
Indicator computeServer-side RSI, MACD, moving averageslocal computation via ta library
Derived signalBuild a signal from cross-source datakimchi premium (the gap)
Response (read-only)Return structured JSON, no tradingeducational, not advice
측정 방법론 · bench_harness.probe_crypto_mcp (crypto-mcp status 실측)
표본
2 measured metrics (Hax /data curated)
수집일
2026-07-04
방법
bench_harness.probe_crypto_mcp (crypto-mcp status 실측)

What happens when one source dies?#

It degrades gracefully onto the remaining sources. In the live call, coingecko was blocked by a 429 (Too Many Requests) and its data was stale by a day, but upbit (267) and coinmarketcap (498) were alive, so responses kept coming. The key is not to hide the failure: each source carries freshness (its last successful timestamp), so the reader knows "this value is a day old." As the figure shows, one blocked source does not stall the whole pipeline.

Why compute the technical indicators "server-side"?#

For consistency, caching, and API savings. RSI, MACD, Bollinger Bands, and moving averages are values derived by formula from a price series, so computing them locally on collected data (rather than asking an external API each time) gives the same result for the same input and saves calls (many open MCPs compute locally with ta or TA-Lib). The LLM just says "give me RSI," and the MCP picks the tool, computes, and returns it. The key point is that it is read-only: it reads prices and indicators but does not place orders or trade. That makes it safe, and it also means the output is educational and informational, not investment advice.

How can you explore it yourself (and responsibly)?#

Call it small.

  • Compare one coin across several sources to see how value and freshness differ (never trust a single source).
  • Check that an indicator gives the same value for the same input, and that fallback works on a source outage.
  • Signals are only a reference; make investment decisions yourself - this data is educational and informational, not investment advice.

Reference links

Note: coin counts, prices, and the premium are measured at the time of a read-only call to our collector in 2026 and vary by source and moment (internal addresses, keys, and accounts are private). Prices differ across sources and the kimchi premium shifts constantly. This data and these indicators are educational and informational, not investment advice. Reviewed quarterly.

Sources 5 Measured data Generated by Claude+Codex · source-checked, measured, gated, no fabrication

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