io.github.CloudCorpRecords/filinglens
OCI · GHCR.IO/CLOUDCORPRECORDS/FILINGLENS · 2 COMPONENTS
SEC-filed company financials with citations, plus market data and technical indicators.
Available components
Last scanned (2 hours ago)
Scores higher than 38% of OCI servers
Category Finance and Payments
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 → Why this is hard to score →
Supply Chain Security0
- No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.Unverified
- Known CVEs could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.Unverified
- Install-script risk not yet assessed.Unverified
- Dependency health could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.Unverified
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 0 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability61
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 3569 tokens (~169/item across 21 items; 21 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management3
- Stability observed for 1 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 21 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 21 captured unit(s) of tool text and found none that tries to manipulate the model reading it.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.
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.
- 4 Nov 26 38
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 5 Nov 2026 · Analysed oci/ghcr.io/cloudcorprecords/filinglens@0.1.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | oci |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
analyze_stock ~387
[Personal research only] One-call stock brief. `filed` holds fundamentals from SEC filings (TTM revenue and growth, gross and operating margin, net income, free cash flow, net debt; for banks net revenue, net interest income, efficiency ratio, PPNR, provisions, loans, deposits, ROE, ROTCE and tangible book; for broker-dealers efficiency ratio, pretax margin, compensation ratio and ROE; for insurers total revenues, premiums earned, net investment income, benefits and losses, a simple combined ratio for P&C insurers, ROE, and book value per share with and without AOCI), each filing cited by accession in sources.edgar (https://www.sec.gov/Archives/edgar/data/{cik}/{accession without dashes}/). A balance input the newest filing omits comes from the latest filing within 15 months, dated in inputs_as_of. `market` holds delayed price, 52-week range, 50/200-day averages and RSI(14); `derived` holds market cap, P/E (on filed diluted EPS LTM), P/B and P/TBV (insurers: P/B and P/B ex-AOCI), each with its inputs. A figure that couldn't be computed is in gaps with its reason; lines that don't apply to the company's layout are left out (layout_note). Up to 4 descriptive observations, including any quarter whose tax rate or non-operating income moves net income. News sentiment on Pro. Start here for "tell me about X". Personal research only: on every plan, this tool's output is for your own personal, non-commercial research. Do not use it in a commercial product, client deliverable or service.
| Name | Type | Req | Description |
|---|---|---|---|
| symbol | string | yes | Stock ticker, e.g. 'AAPL' |
No output schema declared.
No examples provided.
compare_stocks ~238
[Personal research only] Side-by-side comparison of 2-6 stocks as one table: TTM revenue and growth, pretax margin, net income growth and diluted EPS growth from SEC filings (each row's window ends on its ttm_to), net debt for standard layouts, delayed price, day change, distance from the 52-week high and trend, market cap, and P/E on filed diluted EPS LTM (FY + YTD - prior YTD). `order` lists each filed figure highest first, P/E lowest first. `comparability` says what revenue means per layout; cell_notes say what moves a figure. Filings are cited by accession in sources.edgar: open https://www.sec.gov/Archives/edgar/data/{cik}/{accession without dashes}/. Personal research only: on every plan, this tool's output is for your own personal, non-commercial research. Do not use it in a commercial product, client deliverable or service.
| Name | Type | Req | Description |
|---|---|---|---|
| symbols | array | yes | 2 to 6 tickers, e.g. ['NVDA', 'AMD'] |
No output schema declared.
No examples provided.
fetch_balance_sheet ~71
[Personal research only] Fetch annual and quarterly balance sheet data including assets, liabilities, shareholders' equity, and other financial position metrics.
| Name | Type | Req | Description |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'GOOGL') for which to retrieve annual and quarterly bala… |
No output schema declared.
No examples provided.
fetch_bbands ~238
[Personal research only] Fetch Bollinger Bands technical indicator time series with upper band, lower band, and middle line (SMA).
| Name | Type | Req | Description |
|---|---|---|---|
| datatype | string | – | Response data type. |
| end_date | string | – | Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31'). |
| interval | string | yes | Time interval for data points. |
| max_data_points | integer | – | Maximum number of time series data points to return. |
| nbdevdn | integer | – | Number of standard deviations for lower band (typically 2) |
| nbdevup | integer | – | Number of standard deviations for upper band (typically 2) |
| series_type | string | – | Price data to use for calculation. |
| start_date | string | – | Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01'). |
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate Bollinger Bands |
| time_period | integer | – | Number of periods for moving average calculation (typically 20) |
No output schema declared.
No examples provided.
fetch_cash_flow ~67
[Personal research only] Fetch annual and quarterly cash flow statement data including operating, investing, and financing cash flows.
| Name | Type | Req | Description |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'GOOGL') for which to retrieve annual and quarterly cash… |
No output schema declared.
No examples provided.
fetch_company_overview ~70
[Personal research only] Fetch comprehensive company overview including business description, financial ratios, market capitalization, dividend information, and key financial metrics.
| Name | Type | Req | Description |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to retrieve comprehensive company over… |
No output schema declared.
No examples provided.
fetch_earnings ~77
[Personal research only] Fetch annual and quarterly earnings data including EPS (earnings per share) estimates vs actual results, surprise percentages, and earnings growth trends.
| Name | Type | Req | Description |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'GOOGL') for which to retrieve annual and quarterly earn… |
No output schema declared.
No examples provided.
fetch_ema ~206
[Personal research only] Fetch Exponential Moving Average (EMA) technical indicator time series with greater weight on recent prices.
| Name | Type | Req | Description |
|---|---|---|---|
| datatype | string | – | Response data type. |
| end_date | string | – | Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31'). |
| interval | string | yes | Time interval for data points. |
| max_data_points | integer | – | Maximum number of time series data points to return. |
| series_type | string | – | Price data to use for calculation. |
| start_date | string | – | Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01'). |
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate Exponential Moving Average |
| time_period | integer | yes | Number of data points to use for moving average calculation (e.g., 12 for 12-period EMA) |
No output schema declared.
No examples provided.
fetch_exchange_rate ~86
[Personal research only] Fetch real-time currency exchange rates between two currencies with bid/ask prices and conversion rates.
| Name | Type | Req | Description |
|---|---|---|---|
| from_currency | string | yes | Source currency code (e.g., 'USD', 'EUR', 'GBP') to convert from |
| to_currency | string | yes | Target currency code (e.g., 'USD', 'EUR', 'JPY') to convert to |
No output schema declared.
No examples provided.
fetch_income_statement ~73
[Personal research only] Fetch annual and quarterly income statement data including revenue, expenses, net income, EPS, and other profit & loss metrics.
| Name | Type | Req | Description |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'GOOGL') for which to retrieve annual and quarterly inco… |
No output schema declared.
No examples provided.
fetch_macd ~238
[Personal research only] Fetch MACD (Moving Average Convergence Divergence) technical indicator time series with signal line and histogram.
| Name | Type | Req | Description |
|---|---|---|---|
| datatype | string | – | Response data type. |
| end_date | string | – | Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31'). |
| fastperiod | integer | – | Fast EMA period for MACD calculation (default: 12) |
| interval | string | yes | Time interval for data points. |
| max_data_points | integer | – | Maximum number of time series data points to return. |
| series_type | string | – | Price data to use for calculation. |
| signalperiod | integer | – | Signal line EMA period for MACD calculation (default: 9) |
| slowperiod | integer | – | Slow EMA period for MACD calculation (default: 26) |
| start_date | string | – | Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01'). |
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate MACD |
No output schema declared.
No examples provided.
fetch_news_sentiment ~164
[Personal research only] Fetch news sentiment analysis data with sentiment scores, relevance scores, and article metadata.
| Name | Type | Req | Description |
|---|---|---|---|
| datatype | string | – | Response data type. |
| limit | integer | – | Maximum number of news articles to return (1-200). |
| sort | string | – | Sort order for results. |
| tickers | string | yes | Comma-separated list of ticker symbols to filter news articles. |
| time_from | string | – | Start time for news articles in YYYYMMDDTHHMM format (e.g., '20240101T0000') |
| time_to | string | – | End time for news articles in YYYYMMDDTHHMM format (e.g., '20240131T2359') |
| topics | string | – | Optional news topics filter. |
No output schema declared.
No examples provided.
fetch_quote ~62
[Personal research only] Fetches the latest price and trading information for a stock ticker symbol.
| Name | Type | Req | Description |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to fetch the latest price and trading… |
No output schema declared.
No examples provided.
fetch_rsi ~192
[Personal research only] Fetch RSI (Relative Strength Index) momentum oscillator time series ranging from 0 to 100.
| Name | Type | Req | Description |
|---|---|---|---|
| datatype | string | – | Response data type. |
| end_date | string | – | Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31'). |
| interval | string | yes | Time interval for data points. |
| max_data_points | integer | – | Maximum number of time series data points to return. |
| series_type | string | – | Price data to use for calculation. |
| start_date | string | – | Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01'). |
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate RSI |
| time_period | integer | – | Number of periods for RSI calculation (typically 14) |
No output schema declared.
No examples provided.
fetch_sma ~203
[Personal research only] Fetch Simple Moving Average (SMA) technical indicator time series with customizable time periods.
| Name | Type | Req | Description |
|---|---|---|---|
| datatype | string | – | Response data type. |
| end_date | string | – | Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31'). |
| interval | string | yes | Time interval for data points. |
| max_data_points | integer | – | Maximum number of time series data points to return. |
| series_type | string | – | Price data to use for calculation. |
| start_date | string | – | Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01'). |
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate Simple Moving Average |
| time_period | integer | yes | Number of data points to use for moving average calculation (e.g., 20 for 20-day SMA) |
No output schema declared.
No examples provided.
fetch_time_series_daily ~149
[Personal research only] Fetch daily stock data with OHLCV (Open, High, Low, Close, Volume) information for each trading day.
| Name | Type | Req | Description |
|---|---|---|---|
| datatype | string | – | Response data type. |
| end_date | string | – | Optional end date filter in YYYY-MM-DD format (inclusive). |
| max_data_points | integer | – | Maximum number of time series data points to return. |
| outputsize | string | – | Data output size. |
| start_date | string | – | Optional start date filter in YYYY-MM-DD format (inclusive). |
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to retrieve daily data |
No output schema declared.
No examples provided.
fetch_time_series_monthly ~137
[Personal research only] Fetch monthly stock data with OHLCV (Open, High, Low, Close, Volume) aggregated by month.
| Name | Type | Req | Description |
|---|---|---|---|
| datatype | string | – | Response data type. |
| end_date | string | – | Optional end date filter in YYYY-MM-DD format (inclusive). |
| max_data_points | integer | – | Maximum number of time series data points to return. |
| start_date | string | – | Optional start date filter in YYYY-MM-DD format (inclusive). |
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to retrieve monthly data |
No output schema declared.
No examples provided.
fetch_time_series_weekly ~137
[Personal research only] Fetch weekly stock data with OHLCV (Open, High, Low, Close, Volume) aggregated by week.
| Name | Type | Req | Description |
|---|---|---|---|
| datatype | string | – | Response data type. |
| end_date | string | – | Optional end date filter in YYYY-MM-DD format (inclusive). |
| max_data_points | integer | – | Maximum number of time series data points to return. |
| start_date | string | – | Optional start date filter in YYYY-MM-DD format (inclusive). |
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to retrieve weekly data |
No output schema declared.
No examples provided.
financials ~422
A financial statement from SEC filings, newest period first, every value traceable to its filing. Quarterly figures the company reported only year-to-date are derived (e.g. Q4 = FY - 9M) and marked; per-share values and share counts can't be derived that way and are null with reason not_derivable. A line the company tagged with its own element is null with reason custom_element. Common equity and the book values from it are null with reason pending when a preferred issue or redemption follows the last tagged liquidation preference. Every null carries a reason, in cell_notes or (when all of a row's nulls share it) on the row. Banks, insurers and broker-dealers get not_applicable, with a reason, for lines they don't present (capex, current assets, total debt for banks and brokers); banks get loans, allowance and deposits. Broker-dealers and asset managers get the bank layout under net_revenues, with compensation and the compensation ratio. Balance sheets include common equity, book value per share and net debt. A balance the period's own filing didn't present is null, with any later comparative value in a note. A derived or fallback line equal to another row in every column (total equity with no NCI) is named in same_as instead of shown, and a derived Q4 with the opposite sign to Q1-Q3 says so. Values are in units as filed. Values and earlier versions come only from financial statements (10-K, 10-Q, their amendments and transition reports, 20-F, 40-F).
| Name | Type | Req | Description |
|---|---|---|---|
| as_of | – | – | Optional date: the statement as it was on file then |
| company | string | yes | Ticker (e.g. 'AAPL') or SEC CIK |
| limit | integer | – | Number of periods, 1 to 8 |
| period_type | string | – | 'annual' or 'quarterly' |
| statement | string | – | 'income', 'balance' or 'cashflow' |
No output schema declared.
No examples provided.
get_fact ~288
One reported figure from SEC filings, with its citation: filing accession number, form, filing date, XBRL tag, period and a link to the filing. Restated values are listed. A figure the company never reported comes back as missing, never estimated. Values are in units as filed (USD, shares, USD/shares). A value and its as_originally_reported version come only from financial statements (10-K, 10-Q, their amendments and transition reports, 20-F, 40-F), never a proxy or an 8-K.
| Name | Type | Req | Description |
|---|---|---|---|
| as_of | – | – | Optional date: return the figure as it was on file then (before any later restatement) |
| company | string | yes | Ticker (e.g. 'AAPL') or SEC CIK |
| concept | string | yes | Line item such as 'revenue', 'net_income', 'eps_diluted', 'total_assets', 'operating_cash_flow', 'shares_outstanding', 'book_value_per_share', 'net_debt', 'dividend_payout_ratio', 'net_revenues', or… |
| period | string | – | 'latest', a fiscal year 'FY2025', a fiscal quarter 'FY2025 Q2', or a period end date '2025-06-28' |
No output schema declared.
No examples provided.
search_endpoint ~64
[Personal research only] Searches for stock symbols and company names based on keywords (e.g., 'Tesla', 'Microsoft Corp').
| Name | Type | Req | Description |
|---|---|---|---|
| keywords | string | yes | Keywords to search for company names or stock symbols (e.g., 'Tesla', 'Microsoft Corp', 'AAPL') |
No output schema declared.
No examples provided.
How do I install the io.github.CloudCorpRecords/filinglens MCP server?
io.github.CloudCorpRecords/filinglens runs locally as a container image, launched with docker run --rm -i ghcr.io/cloudcorprecords/filinglens:0.1.0. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.
oci · ghcr.io/cloudcorprecords/filinglens
claude mcp add cloudcorprecords-filinglens -- docker run --rm -i ghcr.io/cloudcorprecords/filinglens:0.1.0
What is the io.github.CloudCorpRecords/filinglens MCP server?
io.github.CloudCorpRecords/filinglens is an MCP server listed in the public MCP registry as io.github.CloudCorpRecords/filinglens. SEC-filed company financials with citations, plus market data and technical indicators. This page covers its container image (ghcr.io/cloudcorprecords/filinglens).
Is the io.github.CloudCorpRecords/filinglens MCP server safe to use?
io.github.CloudCorpRecords/filinglens scores 38 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.CloudCorpRecords/filinglens MCP server expose?
io.github.CloudCorpRecords/filinglens exposes 21 tools: fetch_time_series_daily, fetch_time_series_weekly, fetch_time_series_monthly, search_endpoint, fetch_quote, and 16 more. Their descriptions and schemas cost roughly 3,569 tokens of context every time the server is loaded.
Is the io.github.CloudCorpRecords/filinglens MCP server still maintained?
io.github.CloudCorpRecords/filinglens is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.CloudCorpRecords/filinglens MCP server under?
io.github.CloudCorpRecords/filinglens declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.