Alpaca Trading API integration for Model Context Protocol (MCP)
Nothing to run from here
Filinglens is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
99/100
trust score
187
downloads a day
local
runs on your machine
21
tools declared
What it does
SEC-filed company financials with citations, plus market data and technical indicators.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user filinglens-mcp '--' npx -y @reneturcios/filinglens mcp
# 2 — ask your agent for something these tools do
# fetch_time_series_daily, fetch_time_series_weekly, fetch_time_series_monthly and 18 more
Filinglens costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
CLAll 381 servers
CloudCorpRecords381 servers
28 categories
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts Filinglens as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
Claude Codedeclared by this listing
This is a public server: you run it yourself and this marketplace is not in the path. You need Node.js — the current LTS (24) is the safe choice; npx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user filinglens-mcp '--' npx -y @reneturcios/filinglens mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it runs from its publisher’s own package: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
What you approve
21 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Read from its source code. A server that builds its tool list when it starts can list more tools than this.
[Personal research only] Fetch daily stock data with OHLCV (Open, High, Low, Close, Volume) information for each trading day.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to retrieve daily data |
| datatype | string | no | Response data type. |
| outputsize | string | no | Data output size. |
| max_data_points | integer | no | Maximum number of time series data points to return. |
| start_date | string | no | Optional start date filter in YYYY-MM-DD format (inclusive). |
| end_date | string | no | Optional end date filter in YYYY-MM-DD format (inclusive). |
[Personal research only] Fetch weekly stock data with OHLCV (Open, High, Low, Close, Volume) aggregated by week.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to retrieve weekly data |
| datatype | string | no | Response data type. |
| max_data_points | integer | no | Maximum number of time series data points to return. |
| start_date | string | no | Optional start date filter in YYYY-MM-DD format (inclusive). |
| end_date | string | no | Optional end date filter in YYYY-MM-DD format (inclusive). |
[Personal research only] Fetch monthly stock data with OHLCV (Open, High, Low, Close, Volume) aggregated by month.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to retrieve monthly data |
| datatype | string | no | Response data type. |
| max_data_points | integer | no | Maximum number of time series data points to return. |
| start_date | string | no | Optional start date filter in YYYY-MM-DD format (inclusive). |
| end_date | string | no | Optional end date filter in YYYY-MM-DD format (inclusive). |
[Personal research only] Searches for stock symbols and company names based on keywords (e.g., 'Tesla', 'Microsoft Corp').
| Parameter | Type | Required | Notes |
|---|---|---|---|
| keywords | string | yes | Keywords to search for company names or stock symbols (e.g., 'Tesla', 'Microsoft Corp', 'AAPL') |
[Personal research only] Fetches the latest price and trading information for a stock ticker symbol.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to fetch the latest price and trading… |
[Personal research only] Fetch news sentiment analysis data with sentiment scores, relevance scores, and article metadata.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| tickers | string | yes | Comma-separated list of ticker symbols to filter news articles. |
| datatype | string | no | Response data type. |
| topics | string | no | Optional news topics filter. |
| time_from | string | no | Start time for news articles in YYYYMMDDTHHMM format (e.g., '20240101T0000') |
| time_to | string | no | End time for news articles in YYYYMMDDTHHMM format (e.g., '20240131T2359') |
| sort | string | no | Sort order for results. |
| limit | integer | no | Maximum number of news articles to return (1-200). |
[Personal research only] Fetch comprehensive company overview including business description, financial ratios, market capitalization, dividend information, and key financial metrics.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to retrieve comprehensive company over… |
[Personal research only] Fetch annual and quarterly income statement data including revenue, expenses, net income, EPS, and other profit & loss metrics.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'GOOGL') for which to retrieve annual and quarterly inco… |
[Personal research only] Fetch annual and quarterly balance sheet data including assets, liabilities, shareholders' equity, and other financial position metrics.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'GOOGL') for which to retrieve annual and quarterly bala… |
[Personal research only] Fetch annual and quarterly cash flow statement data including operating, investing, and financing cash flows.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'GOOGL') for which to retrieve annual and quarterly cash… |
[Personal research only] Fetch annual and quarterly earnings data including EPS (earnings per share) estimates vs actual results, surprise percentages, and earnings growth trends.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'GOOGL') for which to retrieve annual and quarterly earn… |
[Personal research only] Fetch real-time currency exchange rates between two currencies with bid/ask prices and conversion rates.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| 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 |
[Personal research only] Fetch Simple Moving Average (SMA) technical indicator time series with customizable time periods.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate Simple Moving Average |
| interval | string | yes | Time interval for data points. |
| time_period | integer | yes | Number of data points to use for moving average calculation (e.g., 20 for 20-day SMA) |
| series_type | string | no | Price data to use for calculation. |
| datatype | string | no | Response data type. |
| max_data_points | integer | no | Maximum number of time series data points to return. |
| start_date | string | no | Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01'). |
| end_date | string | no | Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31'). |
[Personal research only] Fetch Exponential Moving Average (EMA) technical indicator time series with greater weight on recent prices.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate Exponential Moving Average |
| interval | string | yes | Time interval for data points. |
| time_period | integer | yes | Number of data points to use for moving average calculation (e.g., 12 for 12-period EMA) |
| series_type | string | no | Price data to use for calculation. |
| datatype | string | no | Response data type. |
| max_data_points | integer | no | Maximum number of time series data points to return. |
| start_date | string | no | Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01'). |
| end_date | string | no | Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31'). |
[Personal research only] Fetch MACD (Moving Average Convergence Divergence) technical indicator time series with signal line and histogram.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate MACD |
| interval | string | yes | Time interval for data points. |
| series_type | string | no | Price data to use for calculation. |
| fastperiod | integer | no | Fast EMA period for MACD calculation (default: 12) |
| slowperiod | integer | no | Slow EMA period for MACD calculation (default: 26) |
| signalperiod | integer | no | Signal line EMA period for MACD calculation (default: 9) |
| datatype | string | no | Response data type. |
| max_data_points | integer | no | Maximum number of time series data points to return. |
| start_date | string | no | Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01'). |
| end_date | string | no | Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31'). |
[Personal research only] Fetch RSI (Relative Strength Index) momentum oscillator time series ranging from 0 to 100.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate RSI |
| interval | string | yes | Time interval for data points. |
| time_period | integer | no | Number of periods for RSI calculation (typically 14) |
| series_type | string | no | Price data to use for calculation. |
| datatype | string | no | Response data type. |
| max_data_points | integer | no | Maximum number of time series data points to return. |
| start_date | string | no | Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01'). |
| end_date | string | no | Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31'). |
[Personal research only] Fetch Bollinger Bands technical indicator time series with upper band, lower band, and middle line (SMA).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate Bollinger Bands |
| interval | string | yes | Time interval for data points. |
| time_period | integer | no | Number of periods for moving average calculation (typically 20) |
| series_type | string | no | Price data to use for calculation. |
| nbdevup | integer | no | Number of standard deviations for upper band (typically 2) |
| nbdevdn | integer | no | Number of standard deviations for lower band (typically 2) |
| datatype | string | no | Response data type. |
| max_data_points | integer | no | Maximum number of time series data points to return. |
| start_date | string | no | Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01'). |
| end_date | string | no | Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31'). |
[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…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | Stock ticker, e.g. 'AAPL' |
[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…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbols | array | yes | 2 to 6 tickers, e.g. ['NVDA', 'AMD'] |
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,…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| 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 a |
| period | string | no | 'latest', a fiscal year 'FY2025', a fiscal quarter 'FY2025 Q2', or a period end date '2025-06-28' |
| as_of | no | Optional date: return the figure as it was on file then (before any later restatement) |
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.…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| company | string | yes | Ticker (e.g. 'AAPL') or SEC CIK |
| statement | string | no | 'income', 'balance' or 'cashflow' |
| period_type | string | no | 'annual' or 'quarterly' |
| limit | integer | no | Number of periods, 1 to 8 |
| as_of | no | Optional date: the statement as it was on file then |
Free
$0 forever
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under MIT
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Filinglens or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATrust score 99 / 100
Release 0.1.0 · scanned 5 Nov 2026
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score99
Findings0 threat · 0 capability
Capabilityminimal
Coveragesource
Verificationrepo
Surface digest6b183a595ed4e59aaeddd891968db2bf1aeb89c3191c19b105bc667ae9060ff8
Score vectorthreat 100 → client 99
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
Tool surfacenot available
Implementation sourceread
Package metadataread
Live transportnot available
No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| No per-tool rows for this release — see the note below. | ||
No tool surface was enumerated, so there is nothing to attribute a capability to.
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digest6b183a595ed4e59a
Scanned2026-11-05
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Always latest — the install command names no version, so it installs the newest release when it runs; the current release on file is 0.1.0. Pin a release below and the command asks for exactly that one.
0.1.0
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish Filinglens can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.