io.github.hiroshic9-png/transcode
NPM · TRANSCODE-MCP-SERVER · SCANNED AUG 3
Japan market intelligence — 22 MCP tools, 10 government/exchange data sources
Available components
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. How we score →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 90 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability71
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 1851 tokens (~84/item across 22 items; 22 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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.
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · transcode-mcp-server
claude mcp add hiroshic9-png-transcode -- npx -y transcode-mcp-server
codex mcp add hiroshic9-png-transcode -- npx -y transcode-mcp-server
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"hiroshic9-png-transcode": {
"type": "local",
"command": [
"npx",
"-y",
"transcode-mcp-server"
],
"enabled": true
}
}
} openclaw mcp add hiroshic9-png-transcode --command npx --arg -y --arg transcode-mcp-server
mcp_servers:
hiroshic9-png-transcode:
command: "npx"
args: ["-y", "transcode-mcp-server"] {
"mcpServers": {
"hiroshic9-png-transcode": {
"command": "npx",
"args": [
"-y",
"transcode-mcp-server"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 2 Aug 26 +38
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- 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. security
- Capabilities: pass → unverified ▼ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- Schema quality: unverified → good ▲ functional
- Licence: MIT functional
- 1 Aug 26 +5
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- MCP protocol: unverified → pass ▲ functional
- 31 Jul 26 −25
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Jul 26 46
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 3 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 95 packages
95 packages in the resolved dependency tree · 95 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
company_intelligence ~138
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.
| Name | Type | Req | Description |
|---|---|---|---|
| ticker | string | yes | Ticker code (e.g. '7203' or '7203.T') |
No output schema declared.
No examples provided.
company_profile ~110
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.
| Name | Type | Req | Description |
|---|---|---|---|
| full | boolean | — | Include all sub-data (subsidies, certifications, patents, finance, procurement) |
| identifier | string | yes | Ticker code (e.g. '7203', '7203.T') or corporate number (13 digits) |
No output schema declared.
No examples provided.
company_search ~80
Search Japanese corporations by name from gBizINFO database (5M+ entities). Returns corporate number, name, location. Use to find corporate numbers for detailed lookup.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | Company name to search (Japanese, e.g. 'トヨタ', 'ソニー') |
| page | number | — | Page number (default: 1) |
No output schema declared.
No examples provided.
detect_events ~71
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.
| Name | Type | Req | Description |
|---|---|---|---|
| interpret | boolean | — | Include AI interpretation of each event |
No output schema declared.
No examples provided.
disclosure_stats ~53
Get disclosure statistics: category breakdown, impact distribution (positive/negative ratio), and notable filings. Use this to gauge overall market sentiment from corporate actions.
| Name | Type | Req | Description |
|---|---|---|---|
| days | number | — | Period in days (default: 3) |
No output schema declared.
No examples provided.
earnings_calendar ~75
Get upcoming earnings announcement dates for Japanese listed companies. Returns scheduled dates for the next 30 days. Use to anticipate market-moving events.
| Name | Type | Req | Description |
|---|---|---|---|
| date_from | string | — | Start date (YYYY-MM-DD). Default: today. |
| date_to | string | — | End date (YYYY-MM-DD). Default: 30 days from now. |
No output schema declared.
No examples provided.
financials ~76
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).
| Name | Type | Req | Description |
|---|---|---|---|
| ticker | string | yes | Ticker code (e.g. '7203' or '7203.T') |
No output schema declared.
No examples provided.
get_disclosures ~175
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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. |
No output schema declared.
No examples provided.
get_macro ~51
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
global_macro ~119
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'.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | — | Number of observations (default: 30) |
| series | string | yes | FRED series to retrieve |
No output schema declared.
No examples provided.
government_stats ~114
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.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | — | Number of data points (default: 20) |
| series | string | yes | Statistics series to retrieve |
No output schema declared.
No examples provided.
interpret ~71
Generate AI interpretation (Layer 2) for a disclosure or macro event using Gemini 2.5. Returns structured analysis: significance, market impact, key investor questions.
| Name | Type | Req | Description |
|---|---|---|---|
| data | object | yes | The data to interpret (disclosure or macro_event object) |
| type | string | yes | Type of data to interpret |
No output schema declared.
No examples provided.
investor_flows ~67
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
japan_briefing ~73
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
listed_stocks ~79
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.
| Name | Type | Req | Description |
|---|---|---|---|
| market | string | — | Filter by market: 'プライム', 'スタンダード', 'グロース'. Omit for all. |
No output schema declared.
No examples provided.
lookup_ticker ~52
Resolve a Japanese stock ticker code to company name. Supports 260+ major stocks with dynamic fallback.
| Name | Type | Req | Description |
|---|---|---|---|
| ticker | string | yes | Ticker code (e.g. '7203' or '7203.T') |
No output schema declared.
No examples provided.
market_snapshot ~85
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
policy_summary ~56
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
sector_summary ~45
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
stats_summary ~41
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
stock_prices ~152
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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 | yes | Ticker code (e.g. '7203' or '7203.T') |
No output schema declared.
No examples provided.
tankan ~68
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).
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.