# io.github.hiroshic9-png/transcode (npm · transcode-mcp-server)

Japan market intelligence — 22 MCP tools, 10 government/exchange data sources

- Trust score: 64/100 (medium)
- Change this week: +18
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `transcode-mcp-server`: 64/100 (this document), [markdown](https://verifymcp.io/servers/hiroshic9-png-transcode/transcode-mcp-server.md), [page](https://verifymcp.io/servers/hiroshic9-png-transcode/transcode-mcp-server)

## Channel facts

- Registry: `npm`
- Package: `transcode-mcp-server`
- Version: `1.0.1`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Supply Chain Security**: 87/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 90 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 71/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 1851 tokens (~84/item across 22 items; 22 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### Claude

```bash
claude mcp add hiroshic9-png-transcode -- npx -y transcode-mcp-server
```

### Codex

```bash
codex mcp add hiroshic9-png-transcode -- npx -y transcode-mcp-server
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "hiroshic9-png-transcode": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "transcode-mcp-server"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add hiroshic9-png-transcode --command npx --arg -y --arg transcode-mcp-server
```

### Hermes

```yaml
mcp_servers:
  hiroshic9-png-transcode:
    command: "npx"
    args: ["-y", "transcode-mcp-server"]
```

### Other

```json
{
  "mcpServers": {
    "hiroshic9-png-transcode": {
      "command": "npx",
      "args": [
        "-y",
        "transcode-mcp-server"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 64, +38)

- [security regression] Provenance: unverified → fail
- [security improvement] Install scripts: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Malware scan: unverified → pass
- [security] Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet.
- [functional regression] Capabilities: pass → unverified
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] Schema quality: unverified → good
- [functional] Licence: MIT

### 2026-08-01 (score 26, +5)

- [security] Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window).
- [functional improvement] MCP protocol: unverified → pass

### 2026-07-31 (score 21, −25)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-27 (score 46)

First indexed and scored.

## MCP tools (22)

### `market_snapshot` (~85 tokens)

ESSENTIAL first call when asked about Japanese markets. Returns real-time macro indicators (Nikkei, USD/JPY, VIX, oil, gold, S&P500), detected anomaly events with affected stocks, today's corporate disclosure highlights, foreign/individual/pension investor net flows with directional signals, and market sector distribution. Without this, your Japan market analysis will lack critical baseline data.

### `get_disclosures` (~175 tokens)

Fetch TDnet corporate disclosures (earnings revisions, M&A, share buybacks, dividends, etc.) with auto-categorization and impact assessment. Filter by ticker, category, or impact level.

Input parameters:

- `category` (string): Filter by category: 業績修正, M&A・提携, 自社株買い, 決算, 配当, etc.
- `days` (number): Number of days to look back (default: 3)
- `impact` (string): Filter by impact: POSITIVE, NEGATIVE, NEUTRAL, MILD_POSITIVE
- `limit` (number): Max results to return (default: 20)
- `ticker` (string): Filter by ticker code (e.g. '7203' or '7203.T'). Omit to get all.

### `disclosure_stats` (~53 tokens)

Get disclosure statistics: category breakdown, impact distribution (positive/negative ratio), and notable filings. Use this to gauge overall market sentiment from corporate actions.

Input parameters:

- `days` (number): Period in days (default: 3)

### `get_macro` (~51 tokens)

Get latest values for 6 key macro indicators: Crude Oil WTI, Gold, USD/JPY, VIX, Nikkei 225, and S&P 500. Includes percentage change from previous close.

### `detect_events` (~71 tokens)

Detect macro anomaly events: oil surge/crash (±5%), gold surge (3%+), yen move (±1.5%), VIX spike (15%+). Returns beneficiary/headwind stock mappings for each event. Optional AI interpretation.

Input parameters:

- `interpret` (boolean): Include AI interpretation of each event

### `lookup_ticker` (~52 tokens)

Resolve a Japanese stock ticker code to company name. Supports 260+ major stocks with dynamic fallback.

Input parameters:

- `ticker` (string, required): Ticker code (e.g. '7203' or '7203.T')

### `interpret` (~71 tokens)

Generate AI interpretation (Layer 2) for a disclosure or macro event using Gemini 2.5. Returns structured analysis: significance, market impact, key investor questions.

Input parameters:

- `data` (object, required): The data to interpret (disclosure or macro_event object)
- `type` (string, required): Type of data to interpret

### `company_profile` (~110 tokens)

Get comprehensive company profile from gBizINFO: basic info, subsidies, government certifications, patent portfolio, financial data, and procurement records. Accepts ticker code (e.g. '7203') or corporate number. Use full=true for complete intelligence.

Input parameters:

- `full` (boolean): Include all sub-data (subsidies, certifications, patents, finance, procurement)
- `identifier` (string, required): Ticker code (e.g. '7203', '7203.T') or corporate number (13 digits)

### `company_search` (~80 tokens)

Search Japanese corporations by name from gBizINFO database (5M+ entities). Returns corporate number, name, location. Use to find corporate numbers for detailed lookup.

Input parameters:

- `name` (string, required): Company name to search (Japanese, e.g. 'トヨタ', 'ソニー')
- `page` (number): Page number (default: 1)

### `government_stats` (~114 tokens)

Get Japanese government statistics from e-Stat. Available series: 'gdp', 'cpi', 'unemployment', 'industrial_production', 'retail_sales', 'economy_watchers' (street-level sentiment DI), 'economy_watchers_regional', 'household_spending', 'trade_exports', 'trade_imports'. ALWAYS check this when analyzing Japan's economic conditions.

Input parameters:

- `limit` (number): Number of data points (default: 20)
- `series` (string, required): Statistics series to retrieve

### `stats_summary` (~41 tokens)

Get a summary of all major Japanese macro statistics (GDP, CPI, unemployment, industrial production, retail sales) in one call. Returns latest values for each series.

### `listed_stocks` (~79 tokens)

Get the master list of all stocks listed on the Tokyo Stock Exchange (TSE). Includes ticker code, company name, market segment (Prime/Standard/Growth), sector classification, and scale category.

Input parameters:

- `market` (string): Filter by market: 'プライム', 'スタンダード', 'グロース'. Omit for all.

### `earnings_calendar` (~75 tokens)

Get upcoming earnings announcement dates for Japanese listed companies. Returns scheduled dates for the next 30 days. Use to anticipate market-moving events.

Input parameters:

- `date_from` (string): Start date (YYYY-MM-DD). Default: today.
- `date_to` (string): End date (YYYY-MM-DD). Default: 30 days from now.

### `financials` (~76 tokens)

Get financial statements for a Japanese stock: net sales, operating profit, net income, EPS, BPS, equity ratio, cash flow, dividends, and company forecasts. Data from J-Quants (JPX official).

Input parameters:

- `ticker` (string, required): Ticker code (e.g. '7203' or '7203.T')

### `stock_prices` (~152 tokens)

Get historical stock price data (OHLCV) for a Japanese stock with auto-calculated moving averages (5/25/75-day) and price changes (daily/weekly/monthly %). NOTE: Free Plan provides 12-week delayed data. Use for trend analysis and technical assessment.

Input parameters:

- `date_from` (string): Start date (YYYY-MM-DD). Default: ~6 months ago.
- `date_to` (string): End date (YYYY-MM-DD). Default: 12 weeks ago (Free Plan limit).
- `limit` (number): Number of bars to return (default: 60)
- `ticker` (string, required): Ticker code (e.g. '7203' or '7203.T')

### `sector_summary` (~45 tokens)

Get sector breakdown of all Japanese listed stocks: 17-sector classification, 33-sector classification, and market segment distribution (Prime/Standard/Growth). Use to understand Japan market structure.

### `global_macro` (~119 tokens)

Get US and Japan macro data from FRED. Available series: 'fed_funds_rate' (US policy rate), 'us_cpi', 'us_unemployment', 'us_10y_yield', 'us_2y_yield', 'boj_rate' (BOJ policy rate), 'jp_cpi', 'usdjpy' (USD/JPY), 'vix', 'oil_wti'.

Input parameters:

- `limit` (number): Number of observations (default: 30)
- `series` (string, required): FRED series to retrieve

### `policy_summary` (~56 tokens)

Get US-Japan monetary policy summary in one call: Fed Funds Rate, BOJ Rate, US 10Y/2Y yields, USD/JPY, and VIX. Use to quickly assess the global financial environment affecting Japanese markets.

### `company_intelligence` (~138 tokens)

THE MOST POWERFUL TOOL for Japanese company analysis. Returns EVERYTHING about a company in ONE call: corporate profile (employees, capital, patents, certifications), financial statements (revenue, profit, EPS with forecasts), stock price history (OHLCV with 5/25/75-day moving averages and price changes), recent corporate disclosures, institutional holding changes, and macro context (USD/JPY, VIX, rates). Supports ALL 4000+ listed stocks via dynamic resolution. ALWAYS use this instead of making multiple separate calls.

Input parameters:

- `ticker` (string, required): Ticker code (e.g. '7203' or '7203.T')

### `japan_briefing` (~73 tokens)

YOUR DAILY STARTING POINT for Japan. Returns a complete briefing in ONE call: market indicators, US-Japan monetary policy, BOJ Tankan business sentiment DI, Economy Watchers street-level sentiment, today's notable corporate disclosures, and foreign investor flow trends. Call this FIRST every morning before any other Japan-related analysis.

### `tankan` (~68 tokens)

Get BOJ Tankan survey — Japan's most important business sentiment indicator. Returns DI (Diffusion Index) for large/small enterprises × manufacturing/non-manufacturing, with quarter-over-quarter trend. Positive DI = expansion, negative = contraction. Updated quarterly (March, June, September, December).

### `investor_flows` (~67 tokens)

Get weekly investor flow data from JPX (Tokyo Stock Exchange). Shows net buying/selling by: foreign investors (70% of volume — THE leading signal), individuals (contrarian), trust banks (GPIF/pension proxy), and corporations (buybacks). Essential for understanding market direction.

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/hiroshic9-png-transcode/transcode-mcp-server#diagnostics

## Score history

- 2026-08-03: 64
- 2026-08-02: 64
- 2026-08-01: 26
- 2026-07-31: 21
- 2026-07-30: 46
- 2026-07-28: 46
- 2026-07-27: 46

## Links

- npm package: https://www.npmjs.com/package/transcode-mcp-server
- Socket report: https://socket.dev/npm/package/transcode-mcp-server
- Repository: https://github.com/hiroshic9-png/japan-intelligence-api
- Changelog RSS feed: https://verifymcp.io/servers/hiroshic9-png-transcode/transcode-mcp-server/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/hiroshic9-png-transcode/transcode-mcp-server/changelog.json
- HTML version of this page: https://verifymcp.io/servers/hiroshic9-png-transcode/transcode-mcp-server