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J-Quants MCP MCP Server

MCP server for retrieving Japanese stock market data via J-Quants API v2

Publisher claimed. No tool list reported, and Pod has not connected to this server.

Status

Pod has not dialled J-Quants MCP yet, so everything on this page is what its publisher reported rather than what we observed. Registries describe servers; they do not connect to them. Until a check runs, treat the tool list below as a claim.

Connect

Published as jquants-mcp on pypi. Runs locally.

Known issues

132 problems reported by people outside the maintainer team. Issues filed by the project's own owners, members and collaborators are excluded — those are release checklists and internal refactors, not things that will go wrong for you. Showing 12.

Most discussed

Remove the standalone fastmcp dependency (HTTP/OAuth path)

Context

PR #566 migrated the stdio server (server.py + tools/) from the standalone fastmcp package to the official mcp SDK's mcp.server.fastmcp.FastMCP. This is one step in a larger effort to drop the standalone fastmcp dependency entirely.

What's left

fastmcp is still a direct dependency because these modules still import from it and are not reachable from the stdio-only server:

  • auth.py — Bearer token + Google/GitHub OAuth providers
  • settings/ — the /settings we

Read the thread · 2026-08-08 · closed · 5 comments

Tier 1 cache has no freshness bound: corrections to already-cached rows are never re-fetched

Summary

Tier 1 (row-level) cache reads have no freshness bound of any kind. CacheStore.get_rows selects rows matching the key/date filters and returns them regardless of when they were written:

sql = f"SELECT data FROM {table} WHERE {where} ORDER BY {date_column}"

The fetched_at column exists on every Tier 1 table (cache/schema.py writes it in generate_ddl) but is never read back. The ENDPOINT_TTL table in cache/store.py governs Tier 2 response caching only.

Read the thread · 2026-08-10 · closed · 2 comments

Alerts and the cache runbook do not cover the stdio (jquants) Cloud Run service

Summary

Every Cloud Monitoring alert policy in ops/alerts/ filters on resource.labels.service_name="jquants-mcp". The mcp-stdio serve deployment runs as a separate Cloud Run service named jquants, so none of these policies can fire for it. The stdio service currently has no alerting at all.

ops/alerts/03-oom-kill.yaml:17
ops/alerts/05-cache-db-download-fail.yaml:19
ops/alerts/07-cache-stale.yaml:27

(and the remaining policies in that directory follow the same pattern)

Read the thread · 2026-08-10 · closed · 2 comments

feat: add company name field to ranking/screener tools

Background

Currently many tools return only the stock code, requiring a separate get_equities_master call to resolve the company name. This adds latency and extra round-trips.

Requested Change

Add a name field (company name) to the response of the following tools by joining against the equities master cache internally:

  • detect_price_limit — add name to each item
  • get_top_movers — add name to each item
  • get_top_volume — add name to each item
  • detect_ytd_high_low —

Read the thread · 2026-05-05 · closed · 2 comments

docs: user-facing documentation with screenshots and GitHub Pages

Motivation

The current README is comprehensive but developer-oriented. New users — especially those who want to use Japanese stock data with Claude but are not familiar with MCP infrastructure — need a gentler entry point:

  • A visual impression of what the tool actually does
  • A minimal install-and-run guide without wading through deployment options
  • Something that appears in Google search results

Proposed approach: incremental

Phase 1 — Screenshots in README (small, immediate)

A

Read the thread · 2026-05-03 · closed · 2 comments

Most recent

get_equities_bars_daily may return incomplete data for code + date_to when cache is partially populated

Preflight

  • I searched existing issues and this is not a duplicate
  • I am running a recent release and the issue still reproduces

jquants-mcp version

1.3.0

J-Quants plan

Free

Python version

3.12.x

What happened?

Bug: get_equities_bars_daily may return incomplete data for code + date_to when cache is partially populated

Summary

When get_equities_bars_daily is called with code and date_to but without date_from, the cache completeness check

Read the thread · 2026-08-29 · open · external user · 0 comments

Tier 2 cache key mismatch: daily_fetch writes ?date= but the reader expects |date=

Summary

scripts/daily_fetch.py's fetch_earnings_calendar writes a date-keyed Tier 2 cache entry as a literal string with ?:

cache_key = f"/equities/earnings-calendar?date={date_key}"

but the tool's date-filtered read path builds its lookup key via make_cache_key, which joins parts with |:

cache_key = make_cache_key("/equities/earnings-calendar", {"date": date_key})
# -> "/equities/earnings-calendar|date=20260301"

These never match in production. The

Read the thread · 2026-08-18 · open · 0 comments

health_check: surface cache.db artifact age, not just data coverage

Summary

Split out from #587 (item 3 of its suggested work list), which is otherwise resolved and being closed.

health_check reports latest_cache_date, which tells a caller the newest date present in the cache — data coverage, not artifact age. It says nothing about when the underlying cache.db artifact itself was last downloaded/refreshed, or how long it's been sitting in a warm instance since the publisher's last export.

Why this matters

Given Tier 1 cache has no time-ba

Read the thread · 2026-08-11 · open · 0 comments

check_adj_factor() misreads AdjFactor as cumulative state instead of a per-date event flag (false positive + false negative)

Summary

CacheStore.check_adj_factor() (src/jquants_mcp/cache/store.py:1686-1722) treats AdjFactor as if it were a stable per-code state value, but J-Quants' AdjFactor field is actually a per-date event flag: it is 1.0 on ordinary trading days and only carries the split/consolidation/rights-issue ratio on the effective date of that specific corporate action. Comparing "the AdjFactor of the single most-recently-cached row" against "the AdjFactor of the single most-recently-fetche

Read the thread · 2026-08-11 · closed · 0 comments

No automated deploy path for the jquants (stdio) Cloud Run service

Summary

The jquants Cloud Run service (mcp-stdio serve + oauth2-proxy sidecar) has no automated deploy path. Every release reaches it only through a manual gcloud builds submit + gcloud run services update. That has now happened three times in three days (#575, #581, #585).

Two independent reasons cd.yml does not cover it

1. The deploy step is disabled. cd.yml's "Decide whether to deploy" hard-codes should_deploy=false and emits a warning. This is the circuit bre

Read the thread · 2026-08-10 · closed · 0 comments

Remove the 15-minute cache.db poll: cold starts already deliver a current cache

Summary

scripts/cache-poll.crontab re-downloads cache.db from GCS every 15 minutes (96 ticks/day) on the mcp-stdio serve Cloud Run deployment. The publisher exports to GCS once per weekday, so at most 1 of those 96 ticks can ever find new content — and even that one is largely redundant given how the service scales.

Why the poll is mostly wasted work

Cold starts already deliver a current cache. The service runs with min-instances=0. An idle instance is torn down, and eve

Read the thread · 2026-08-10 · closed · 0 comments

verify_cache.py's cron-triggered quick_check doesn't skip on an unchanged cache.db

verify_cache.py's cron-triggered quick_check doesn't skip on an unchanged cache.db

Context

#579/#581 made gcs_sync.py's download_cache_db() skip redundant re-downloads (and the atomic replace that always allocates a new inode) when the GCS generation of the effective object is unchanged. The stated goal included avoiding a "fresh, unnecessary PRAGMA quick_check" on cache-poll.crontab's 15-minute tick.

Gap

cache-poll.crontab unconditionally chains verify_cache.py after `gc

Read the thread · 2026-08-10 · closed · 0 comments

See all 19 reports Pod holds for J-Quants MCP — of 132 qualified upstream.

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