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333,463 tools. Last updated 2026-07-29 17:22

"A tool for analyzing Indian stock data for investment decisions using LLMs and news insights" matching MCP tools:

  • Stay updated with the most recent analyst price target updates for all stock symbols using the FMP Price Target Latest News API. Get access to detailed forecasts, stock prices at the time of the update, analyst insights, and direct links to news sources for deeper analysis.
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  • Get the latest global news headlines and articles — world news, breaking news, and business/financial/stock-market news. Filter by keyword, country (2-letter, e.g. "us"), category (business, technology, politics, sports, health, science), and language. IMPORTANT: for stock-market / financial-market / economy / "world market news" questions, ALWAYS pass category: "business" — it returns real market-news outlets and filters out low-quality SEO/crypto-promo articles. Returns article title, description, link, source, publish date, category, and country. Paginate via the nextPage token. Examples: latest_news({ query: "stock market", category: "business" }) for world market news; latest_news({ query: "election", country: "us", category: "politics" }).
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  • Get a single V³ event: headline, why-it-matters, scores, and how much structured analysis V³ holds on it (perspectives, decisions, outcomes). Use after v3_search_events (or v3_breaking_now) when the user wants detail on a specific event. This returns V³'s public summary; the full country-by-country perspectives, timeline, decisions to watch, and calibrated outcomes are on v3.news at the returned url (a V³ account unlocks the multi-perspective analysis). Args: event_id: the V³ event id from a prior tool result.
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  • List the standardized conditions the Veterans’ Rights corpus organizes Board of Veterans’ Appeals decisions under, each with the number of vetted decisions, grants, and remands (full-corpus counts) and the body-system category. Use this to discover which conditions have data, to get the exact slug for get_condition_report, or to compare how common / how winnable different conditions are. Counts reflect only quality-filtered, publicly visible decisions.
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  • Check the status of a submitted job. Call this after submit_query to see if your job is ready. Status progression: submitted -> analyzing -> fetching -> clustering -> enriching -> completed/failed IMPORTANT: Jobs take several minutes to process. First check after ~1-2 minutes, then poll every 30-60 seconds. Broad searches can take 10-30+ minutes; for long jobs, poll every 60-120 seconds. Do NOT call this tool in a tight loop. Stop polling when status is `completed` or `failed`. Treat `submitted`, `analyzing`, `fetching`, `clustering`, and `enriching` as active states and continue polling. You don't need to wait for completion to pull results. Partial results are available during `enriching` — call pull_results after ~2 minutes, then poll status every 30-60 seconds and pull again for fresher results. Do not stop pulling just because an intermediate pull is empty/unchanged. Use `progress_validated` vs `candidate_records` to track whether more results may still appear (`progress_validated < candidate_records`). If transport/session fails, resume using the same `job_id`.
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  • Get the live holdings/positions (what's currently held and its value) for a connected Plaid investment account — brokerage, IRA, 401k, etc. WORKFLOW: 1. well_query_records({ root: "workspace_connectors", fields: [["workspace_connectors","workspace_connector_id"], ["workspace_connectors","connector","name"], ["workspace_connectors","status"]] }) → pick the ENABLED Plaid connector and its workspace_connector_id. 2. well_get_investment_holdings({ workspace_connector_id }) → the current holdings, fetched fresh from Plaid on every call (never stored/stale data). Only works on Plaid connectors that support the investments product — not the MCP-transport connector-tool-passthrough tools (well_list_connector_tools / well_invoke_connector_tool), and not for investment transactions (buy/sell/dividend/fee), which are queryable as ordinary rows via well_query_records on the transactions root instead.
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Matching MCP Servers

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    MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.
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    MCP server providing real-time Indian stock market data through 15 tools, including stock details, historical data, market overview, and news. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and other MCP clients using an API key from IndianAPI.in.
    Last updated
    MIT

Matching MCP Connectors

  • Check the status of a submitted job. Call this after submit_query to see if your job is ready. Status progression: submitted -> analyzing -> fetching -> clustering -> enriching -> completed/failed IMPORTANT: Jobs take several minutes to process. First check after ~1-2 minutes, then poll every 30-60 seconds. Broad searches can take 10-30+ minutes; for long jobs, poll every 60-120 seconds. Do NOT call this tool in a tight loop. Stop polling when status is `completed` or `failed`. Treat `submitted`, `analyzing`, `fetching`, `clustering`, and `enriching` as active states and continue polling. You don't need to wait for completion to pull results. Partial results are available during `enriching` — call pull_results after ~2 minutes, then poll status every 30-60 seconds and pull again for fresher results. Do not stop pulling just because an intermediate pull is empty/unchanged. Use `progress_validated` vs `candidate_records` to track whether more results may still appear (`progress_validated < candidate_records`). If transport/session fails, resume using the same `job_id`.
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  • Aggregate all quant tools into one JSON stock analysis. The tool reuses the existing MCP tools as its data sources, then derives a direction signal, direction score, bullish factors, bearish factors and plain-English summary. If one underlying tool is gated, unavailable or raises an error, the remaining tools still contribute to the final result (status "partial"); if every underlying tool fails, the whole call fails (status "error", isError=True) instead of a misleadingly "successful" empty analysis. Args: symbol: Stock symbol, e.g. "NVDA". refresh: Request fresh IV Radar data instead of using the backend's fresh IV cache. Defaults to False.
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  • Real-time news sentiment for any stock ticker or crypto asset. Returns overall_sentiment (bullish/bearish/neutral), sentiment_score (-1.0 to +1.0), headline_count, and top scored headlines. Crypto queries auto-route to crypto-native sources. Use before a trade to detect sentiment regime or monitor news flow for an asset. Pairs well with equity_analysis(), tech_analysis(), and insider_trading().
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  • Full markdown research report with five stock-report charts. Pro tool ($0.35/call via x402 for anonymous callers; free within plan limits for signed-in accounts, subject to a monthly report quota). Runs analyze_stock and stock-report image generation concurrently, then renders a presentation-ready markdown report (direction, direction score, bullish / bearish factors, source-tool status, and the five chart embeds). The markdown is returned for display and the same data is mirrored in structured JSON. Signed-in hpsilab users call this within their plan's free rate limits. Anonymous / tokenless agents pay per call via x402 (USDC on Base) when payments are enabled — send the x402 payment in the request _meta. Args: symbol: Stock symbol, e.g. "RXRX". refresh: Bypass the backend's fresh IV cache for the IV-driven modules. Defaults to False. force_images: Force a fresh image render instead of reusing the backend's image cache. Defaults to False.
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  • Buy an Ondo tokenized stock using USDC from the user's Gitbank vault. Bridges USDC from Base to Solana via CCTP, swaps for Ondo stock on Jupiter, and mints a soul-bound gitStock token on Base as proof of custody. Returns a confirm_code the user must post on GitHub to authorize.
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  • Get aggregated ETF data in a single call. Combines multiple data sources (profile, holdings, sector weightings, country exposure, performance, news, analyst coverage, and comparables) into one response. Each data type is cached independently. Specify which types to include or omit to get above-the-fold defaults (profile, stock-summary, holdings, sectors).
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  • Find Indian-American healthcare professionals (doctors, dentists, clinics, pharmacies). Provide a point (`lat`+`lng`, optional `radius_miles`) or `city`/`state`. Filter by `profession_type` ("doctors", "dentist", "clinic", "pharmacy"), `speciality` (e.g. "pediatrics", "cardiology", "ayurveda"), `tag`, or `open_now`. Note: these are matched from public data via an Indian-name signal, so a `confidence_score` is included.
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  • What's happening in Indian America today, optionally for a city + languages — the upcoming festival (+ approximate tithi), soonest events nearby, Indian movies in theaters, places newly added in the city, a culture/immigration nugget, and trending community questions. `languages` is a comma-separated list (e.g. "Telugu,Hindi"). Great for a daily briefing. Returns the assembled feed; date fields are ISO. Lunar festival/tithi dates are approximate — tell users to confirm locally.
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  • Pre-trade price-impact / slippage curve for a tokenized stock: estimated % impact to buy a set of trade sizes on the deepest venue and aggregated across venues, using a constant-product model on pool liquidity. Send { ticker, sizeUsd?, feePct? }. Size orders before you send them. Estimate only. [x402 paid tool — price $0.05; POST /api/rh/depth]
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  • Fetch the computed data behind a saved Insights report by bookmark_id (the report id in the board URL). Mixpanel's recommended, non-deprecated path for programmatic reporting. Query API: GET /insights.
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  • "Chart data for [ticker]" / "sparkline data for [stock]" — price sparkline data for a ticker from StockTwits. Use for embedded thumbnail charts; prefer dedicated finance packs (yahoo-finance, alphavantage) for serious price analysis.
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  • Analyze a parsed rent roll for investment risks. Feed the output from analyze_rent_roll directly into this tool. Returns: rollover risk, tenant concentration, credit risk, and actionable recommendations.
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  • Get the manual-scan logbook for a connection (~14 days of spot readings and notes). Read-only CGM data — not for medical decisions without clinician review. Not the continuous graph — use librelink_get_glucose_graph for minute-by-minute data. Bulk support: accepts patient_ids for batched execution.
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  • Get short interest data for a company including short volume, short ratio, days to cover, and short percent of float. Use when analyzing bearish sentiment or potential short squeeze setups.
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