MCP server
MarketPing Official
in.marketping/marketping
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Indian stocks: NSE/BSE filings read by AI with price reactions, fundamentals, IPOs and FPI flows.
Working at last checkVerified publisher: marketping.inAbout 4,532 tokens per request once connected24 tools
https://mcp.marketping.in/mcp
At a glance
- Type
- MCP server
- Publisher
- marketping.in (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 24
- Token cost
- About 4,532 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http marketping https://mcp.marketping.in/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.marketping] url = "https://mcp.marketping.in/mcp"
Gemini CLI
{"mcpServers":{"marketping":{"httpUrl":"https://mcp.marketping.in/mcp"}}}
Cursor
{"mcpServers":{"marketping":{"url":"https://mcp.marketping.in/mcp"}}}
VS Code
{"servers":{"marketping":{"type":"http","url":"https://mcp.marketping.in/mcp"}}}
Antigravity
agy mcp add marketping https://mcp.marketping.in/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"marketping","server_url":"https://mcp.marketping.in/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"marketping","server_url":"https://mcp.marketping.in/mcp"}
Tools
alert_reaction~274 tokens
How the market actually moved after ONE announcement: percentage moves at 5 and 30 minutes from the announcement-minute price, and on the reaction day (the first session that could trade the news), the next day, 2/3/5/7/15 sessions and 1/2/3 months from the close before the filing. For each daily wiaudit_report~164 tokens
Auditor opinions, key audit matters, CARO exceptions and auditor changes per fiscal year, extracted page-cited from annual reports. Use for governance and red-flag questions. A missing year means not yet read — never read it as 'clean'. Factual data only — MarketPing publishes no buy/sell recommendacompany_snapshot~169 tokens
Latest fundamentals and valuation for one company: price, market cap, P/E, P/B, TTM revenue and profit, growth, ROCE/ROE and debt ratios. Use for 'how is X doing', 'what does X trade at', or as the numeric backdrop before reading filings. Factual data only — MarketPing publishes no buy/sell recommendaily_briefing~136 tokens
MarketPing's briefing for the latest NSE trading day: market score, index and sector moves, FII/DII and FPI flows, breadth, movers, and the day's most important announcements. Use for 'how did the Indian market do today'. Factual data only — MarketPing publishes no buy/sell recommendations, no pricedoc_contents~158 tokens
A document's table of contents: section titles, one-line summaries and page ranges. Read this BEFORE read_pages so you open the right four pages instead of guessing — annual reports run to 300+ pages. Factual data only — MarketPing publishes no buy/sell recommendations, no price targets and no IPO gfetch~150 tokens
Retrieve the full content of one search result by its id — a company profile with fundamentals and recent announcements, one announcement with its measured price reaction, one page of a filing, or one IPO issue. Factual data only — MarketPing publishes no buy/sell recommendations, no price targets afpi_flows~280 tokens
Foreign portfolio investor (FPI/FII) flows into Indian markets as NSDL publishes them — daily net equity and debt flows, by investment route, with month-to-date totals. Use for 'are foreign investors buying' questions. Factual data only — MarketPing publishes no buy/sell recommendations, no price taipo_pipeline~262 tokens
Indian IPOs — open now, upcoming, closed or already listed — with price band, issue size, lot size, dates, subscription figures and post-listing performance. Covers mainboard and SME. MarketPing deliberately publishes no grey-market premium and no apply/avoid verdict; if you need those, this is notlist_documents~215 tokens
The documents MarketPing holds for a company — annual reports, earnings-call transcripts, investor presentations, results — newest first, each with a doc_id. A capped list is marked as truncated: never read one as the whole holding. Factual data only — MarketPing publishes no buy/sell recommendationlist_models~152 tokens
The valuation models saved to this MarketPing account (Models: DCF, excess return, sum of parts), with the company and a link. Needs a linked account. Optional `company` narrows to one company (slug). Factual data only — MarketPing publishes no buy/sell recommendations, no price targets and no IPO glist_stacks~194 tokens
MarketPing's curated stacks: public lists of Indian companies rebuilt every day from layers (quality/value/growth screens, an index, a Discover catalyst page) with one rule — how many layers a company must clear today. Returns each stack's slug, rule, member count and what entered or left today. Witread_pages~190 tokens
The actual text of a page range (max 12 pages). This is the ONLY source you may quote a document from — cite as {doc_id, page, verbatim quote}, and the quote must really appear on that page. Factual data only — MarketPing publishes no buy/sell recommendations, no price targets and no IPO grey-marketrecent_alerts~205 tokens
Recent NSE/BSE corporate filings with MarketPing's AI classification — subject, category, document type, importance and sentiment. This is MarketPing's core dataset: use it for 'what has X announced lately', 'any news on X', or (with no company) 'what is happening in the market today'. Factual dataresolve_company~158 tokens
Find an Indian listed company by name, ticker or partial match. Returns candidates with their MarketPing slug — call this FIRST unless you already hold a slug, because every other company tool takes one. Factual data only — MarketPing publishes no buy/sell recommendations, no price targets and no IPresults_calendar~151 tokens
Which Indian companies report quarterly results on which dates, as the exchanges have published them. Default window is the next 60 days. Factual data only — MarketPing publishes no buy/sell recommendations, no price targets and no IPO grey-market premium.run_model~203 tokens
Recompute one of the account holder's saved models (DCF, excess return or sum of parts) with MarketPing's engine and return the value per share, the bridge and the projected years (3, 5 or 10, as the model sets). The figure is the holder's own arithmetic over their inputs — report it as THEIR model,run_screener~311 tokens
Filter MarketPing's universe of 5,400+ NSE/BSE companies on fundamentals — 108 metrics covering valuation, growth, profitability, leverage and ownership. Use for 'find companies where…' questions. Field names come from screener_fields. Factual data only — MarketPing publishes no buy/sell recommendatrun_stack~192 tokens
The companies in one stack as of today's snapshot, with how many layers each clears, which ones, how many consecutive days it has been in the stack, market cap and P/E. Takes a slug from list_stacks. Membership is a fact about screens cleared today — never a rating. Factual data only — MarketPing puscreener_fields~170 tokens
The metrics you can filter and sort on in run_screener, with labels, units and groups. Call this before building a screen if you are unsure of a field name. Factual data only — MarketPing publishes no buy/sell recommendations, no price targets and no IPO grey-market premium.search~154 tokens
Search MarketPing's Indian stock market data — companies, corporate announcements, IPO issues, and the text of annual reports, earnings-call transcripts and investor presentations. Returns results with ids to pass to `fetch`. Factual data only — MarketPing publishes no buy/sell recommendations, no psearch_filings~208 tokens
Full-text search across every page MarketPing holds — annual reports, earnings-call transcripts, investor presentations. Returns {doc_id, page, snippet} hits to follow up with read_pages. SNIPPETS ARE KEYWORD WINDOWS, NOT FACTS: never state a figure from a snippet, open the page and take it from thestack_changes~177 tokens
What entered, left, cleared more or fewer layers in a stack since a date (default: the previous daily snapshot). Use for 'what is new in this list today / this week'. Factual data only — MarketPing publishes no buy/sell recommendations, no price targets and no IPO grey-market premium.watchlist_add~144 tokens
Add a company to this MarketPing account's watchlist, so its filings start arriving as alerts. Needs a linked MarketPing account. Subject to the plan's company limit. Factual data only — MarketPing publishes no buy/sell recommendations, no price targets and no IPO grey-market premium.watchlist_list~115 tokens
The companies this MarketPing account follows, with their alert status. Needs a linked MarketPing account — the assistant will offer to connect one. Factual data only — MarketPing publishes no buy/sell recommendations, no price targets and no IPO grey-market premium.
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