Alpaca Trading API integration for Model Context Protocol (MCP)
Sell The News 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.
What it does
Real-time US stock market news, r/wallstreetbets sentiment, options GEX & max pain, daily recaps
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http sell-the-news-mcp https://mcp.sellthenews.org/mcp
# 2 — ask your agent for something these tools do
# get_live_news, get_wsb_analysis, get_wsb_discussion and 11 more
Sell The News costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http sell-the-news-mcp https://mcp.sellthenews.org/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
14 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.
Get the latest live financial news from major sources (Wall Street Journal, New York Times, Bloomberg, Financial Times, CNBC, Reuters, Yahoo Finance). Returns pinned headlines (top stories, at offset=0 only) and recent news cards. Each card includes source name, timestamp (ET), title, full article text, and relevant stock tickers. By default, cross-source duplicates of the same story are folded in
| Parameter | Type | Required | Notes |
|---|---|---|---|
| limit | number | no | Number of news items per page (1-20). Default: 15 |
| offset | number | no | Pagination offset. 0 = first page with pinned news. Default: 0 |
| lang | string | no | Article language. 'en' = English, 'zh' = Chinese. Default: 'en' |
| sources | string | no | Comma-separated source filter. Valid values: wsj, nyt, bloomberg, ft, cnbc, reuters, yahoo. Omit for all sources. |
| marketOnly | boolean | no | Filter to market/finance-relevant stories only, dropping general politics, sports and lifestyle coverage. Use when the user wants pure market news. Default: false (all news). |
| clusterDedupe | boolean | no | When several outlets report the SAME story, fold them into ONE card and list the others under 'Also reported by' (cross-source corroboration) instead of returning near-duplicate cards. Keeps the feed |
| aiSummary | boolean | no | Return a concise AI-written summary (~80 words) in place of each article's full body. Use it to scan many stories quickly or to save tokens; keep false (full text) when you need to quote or deeply ana |
| liveOnly | boolean | no | Return only real-time live-coverage cards (breaking, fast-moving updates) and hide long-form analysis articles (Bloomberg Latest and the outlets' standalone articles). Use when the user wants the late |
| before | string | no | Time cursor for forward pagination. Pass the 'time' value of the last item from a previous response. Format: 'YYYY-MM-DD HH:MM:SS ET' |
Get the AI-generated analysis report of r/wallstreetbets daily discussion threads. Reports cover market sentiment, trending tickers, notable trades, community mood, and contrarian signals. Each day may have multiple analysis runs as new comments accumulate. Use 'offset' to step back through earlier report posts and 'run' to view a specific analysis run of one post.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| lang | string | no | Report language. 'en' = English, 'zh' = Chinese. Default: 'en' |
| offset | number | no | Report-post offset, newest first: 0 = the latest daily-discussion post, 1 = the one before, etc. A trading day usually has 2 posts, so this is not a day count. Default: 0 |
| run | number | no | Specific analysis run index within a day (0-indexed). Each day may have multiple runs as new comments come in. Omit for the latest run. |
Get raw Reddit comments from the r/wallstreetbets daily discussion thread. Returns comments in a compact threaded format: [score] comment_text, with 2-space indentation for each reply level. Low-quality comments (negative score, very short low-score posts, bot commands) are automatically filtered out. Useful for directly analyzing retail investor sentiment, popular tickers, and trading ideas.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| limit | number | no | Maximum number of comments to return (1-1500). Default: 500 |
| date | string | no | Specific date to get comments for (format: YYYY-MM-DD). Omit for latest available discussion. |
Get recent news articles for a specific stock ticker symbol. Articles are sourced from Google News and other financial news aggregators. Returns article titles, publication dates, source names, and URLs. Covers US-listed symbols only (non-US listings such as 9988.HK or 000660.KS are not available). If the ticker is not yet tracked, the system will automatically fetch and index its news on first re
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ticker | string | yes | Stock ticker symbol (e.g. 'AAPL', 'TSLA', 'NVDA'). Case-insensitive. |
| limit | number | no | Number of articles to return (1-20). Default: 15 |
| offset | number | no | Pagination offset. Default: 0 |
Get options chain data and Greek exposure analysis for a stock ticker. Includes spot price, available expiration dates, key levels (gamma flip, call/put walls, max pain, net GEX, bullish score, implied move, P/C OI ratio, total OI/volume), human-readable positioning insights, and per-strike net Greek exposure profiles. Supported Greeks: gamma, vanna, charm, delta, theta, vega. Useful for analyzing
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ticker | string | yes | Stock ticker symbol (e.g. 'SPY', 'AAPL', 'QQQ'). Case-insensitive. |
| expiration | string | no | Specific expiration date (YYYY-MM-DD). Omit for nearest available expiration. |
| greeks | string | no | Comma-separated Greek metrics to include. Valid: gamma, vanna, charm, delta, theta, vega, or 'all'. Default: 'gamma' |
| maxStrikes | integer | no | How many strikes to show per greek, chosen nearest to the spot price (the most trade-relevant ones). Higher = more complete gamma/greek profile but more tokens; lower = faster, cheaper, easier for sma |
Full-text search across all news articles from Wall Street Journal, New York Times, Bloomberg, Financial Times, CNBC, Reuters, Yahoo Finance. Powered by Meilisearch for fast, typo-tolerant search. Results can be filtered by source and sorted by relevance (default) or time. Native-language results are ranked higher when a language preference is set.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Search query string (2-100 characters) |
| lang | string | no | Language preference. Native-language results rank higher. Default: 'en' |
| sources | string | no | Comma-separated source filter. Valid: wsj, nyt, bloomberg, ft, cnbc, reuters, yahoo. Omit for all sources. |
| limit | number | no | Number of results per page (1-20). Default: 15 |
| offset | number | no | Pagination offset. Default: 0 |
| sort | string | no | Sort order: 'relevance' (default) or 'time' (newest first) |
| marketOnly | boolean | no | Filter to market/finance-relevant results only, dropping general politics/lifestyle coverage. Default: false. |
| aiSummary | boolean | no | Return a concise AI-written summary instead of each result's full article body (fewer tokens, faster scanning); keep false when you need the complete text. Default: false. |
Get recent posts from Donald Trump's Truth Social account (@realDonaldTrump). Each post includes AI-generated stock market impact analysis identifying affected tickers and predicted price directions. By default only returns posts with identified market impact; set showAll=true to include all posts. Use offset to paginate through older posts.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| lang | string | no | Language for the market impact analysis text. 'en' = English, 'zh' = Chinese. Default: 'en' |
| limit | number | no | Number of posts to return (1-20). Default: 5 |
| offset | number | no | Pagination offset. Default: 0 |
| showAll | boolean | no | If true, show all posts including those without market impact. Default: false (market-impact posts only) |
List the most recent r/wallstreetbets DD (Due Diligence) posts that have been AI-analyzed. Returns titles only (AI-generated headline + Reddit title), affected tickers with sentiment (bullish/bearish/mixed/neutral), score, comment count, and a postId you can pass to get_dd_post for the full analysis. Cheap to call — no analysis bodies are returned. Use get_dd_post or search_dd to drill into a spec
| Parameter | Type | Required | Notes |
|---|---|---|---|
| lang | string | no | Headline + ticker sentiment language. Default: 'en' |
| limit | number | no | Number of posts per page (1-50). Default: 10 |
| offset | number | no | Pagination offset (0-1000). Default: 0 |
Get the full bilingual AI analysis for one r/wallstreetbets DD post. Returns: AI-generated title, post summary (author's thesis + evidence + holes), discussion summary (top-rated rebuttals, OP responses, irony detection), affected tickers with sentiment, and a fact-check list — each fact-check item has a status (supported / questionable / unsupported / unclear) and source URLs when available. The
| Parameter | Type | Required | Notes |
|---|---|---|---|
| postId | string | yes | Reddit post id, e.g. '1tbev9x'. Get from get_dd_list or search_dd. |
| lang | string | no | Analysis language. 'en' = English, 'zh' = Chinese. Default: 'en' |
Full-text search across r/wallstreetbets DD analyses (separate from /search which only covers news). Powered by Meilisearch, typo-tolerant. Indexes AI title, original Reddit title, tickers, post summary, discussion summary, fact-check claims, and selftext (both languages). Returns titles + tickers only; pass the returned postId to get_dd_post for the full analysis.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Search query (2-100 chars). Try a ticker, theme, or keyword. |
| lang | string | no | Headline language preference. Default: 'en' |
| limit | number | no | Results per page (1-30). Default: 10 |
| offset | number | no | Pagination offset (0-1000). Default: 0 |
Discover which precomputed AI news recaps are available through the website Time Machine API. Use this automatically when a user asks what AI market recaps exist, asks for an unspecified historical daily/weekly/intraday recap, or needs valid dates/weekIds before calling a detail tool. This returns lightweight metadata only from the website Time Machine API: recap type, date or ISO week, and intrad
| Parameter | Type | Required | Notes |
|---|---|---|---|
| level | string | no | Filter the discovery results. Default: 'all'. Use 'intraday' for same-day buckets, 'daily' for end-of-day reports, 'weekly' for ISO-week reports. |
| limit | integer | no | Maximum number of metadata rows to return (1-60). Default: 30. |
| offset | integer | no | Pagination offset after filtering and sorting latest-first (0-1000). Default: 0. |
Get precomputed AI intraday news recap buckets from the database. Use this when the user asks for intraday news analysis, same-day market narrative, what happened during the trading day, or a specific recap bucket. If bucketId is provided, this returns exactly that bucket. Otherwise it returns all buckets for date, ordered chronologically. If neither date nor bucketId is provided, it automatically
| Parameter | Type | Required | Notes |
|---|---|---|---|
| lang | string | no | Recap language. 'en' = English, 'zh' = Chinese. Default: 'en'. |
| date | string | no | US Eastern calendar date to fetch, e.g. 2026-05-12. Omit to use the latest date with intraday data. Ignored when bucketId is provided. |
| bucketId | string | no | Exact intraday bucket id returned by list_news_recaps, e.g. 2026-05-12T14:30ET. Use this for a single bucket. |
| limit | integer | no | Maximum buckets to return when bucketId is omitted (1-20). Default: 10. |
| offset | integer | no | Bucket pagination offset for the selected date (0-100). Default: 0. |
Get one precomputed AI daily news recap from the database. Use this when the user asks for a daily market recap, today's/yesterday's AI news summary, end-of-day narrative, or what mattered on a specific date. If date is omitted, this automatically returns the latest date with a daily recap, so the AI can answer without asking the user to choose a date. The daily recap synthesizes that date's intra
| Parameter | Type | Required | Notes |
|---|---|---|---|
| lang | string | no | Recap language. 'en' = English, 'zh' = Chinese. Default: 'en'. |
| date | string | no | US Eastern calendar date, e.g. 2026-05-12. Omit to get the latest available daily recap. |
| includeIntraday | boolean | no | If true, append source intraday bucket ids and headlines. Default: false. |
Get one precomputed AI weekly news recap from the database. Use this when the user asks for a weekly market recap, this week's/last week's AI news summary, or the dominant market themes across a week. Weekly recaps follow ISO week ids in YYYY-Www format and cover Monday through Sunday in US Eastern dates. If weekId is provided, it is used directly. If date is provided, the tool returns the week co
| Parameter | Type | Required | Notes |
|---|---|---|---|
| lang | string | no | Recap language. 'en' = English, 'zh' = Chinese. Default: 'en'. |
| weekId | string | no | ISO week id, e.g. 2026-W19. Takes precedence over date when both are supplied. |
| date | string | no | US Eastern date inside the desired week, e.g. 2026-05-12. Ignored when weekId is supplied. |
| includeDaily | boolean | no | If true, append source daily recap dates and headlines. Default: false. |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- 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 Sell The News or to call it, at any volume.
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.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
No release note was published with this version.
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.
Any signed-in account that does not publish Sell The News can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
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.