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  • A
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    Public MCP research for AI finance and trading agents: funding, bank risk and liquidity evidence. Companion SDK: persistent Python MCP sessions and Python/JS source-status streams. Setup: https://beepboop2025.github.io/financial-evidence-skills/distribution/ai-trading-tools.html. No data API key. Keep source dates, rights and gaps. No live quotes or execution.
    2
    3
    118 PyPI
    1
    MIT
  • A
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    quality
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    Enables users to query news mention volume time series, growth percentages, and live Google News feeds as an MCP tool, integrating with AI hosts like Claude and Cursor.
    3
    MIT
  • A
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    Enables monitoring Google News for companies, brands, people, or topics, returning one row per article with headline, outlet, date, publisher URL, and a headline sentiment label. Supports watch-list state keys so repeat calls surface only articles that haven't been returned before, with a free summary row explaining empty runs.
    1
    383 npm
    MIT
  • A
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    Connects real-world news to Polymarket prediction markets by matching headlines to relevant markets with live odds. Read-only by default with optional trading capabilities.
    5
    MIT
  • A
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    Institutional Financial Intelligence MCP Server for Claude Desktop & AI Agents. Sub-second market data, technical indicators, SEC EDGAR 10-K parsing, and local SQLite backtesting.
    1
    MIT
  • A
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    MCP server providing news article mention volume data, weekly series, growth percentages, and a live Google News feed as an AI tool.
    20 PyPI
    MIT
  • A
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    Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Free AI moderation. Uses an organization API token from askone.org
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    75 npm
    2
    MIT
  • A
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    The only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in the MCP ecosystem. Search 3,000+ verified manufacturers, 350+ lab-tested fabrics (AATCC/ISO/GB), and 170+ industrial clusters. Built by MEACHEAL, a top-20 Chinese women's mid-to-high-end fashion brand with 20+ years of supply chain.
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    7 npm
    2
    MIT
  • F
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    Enables local read-only access to TheRundown Product API data including sports, affiliates, market definitions, events, futures, and open main lines using your own API key.
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  • A
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    Enables AI assistants to access stock prices, financial statements, earnings call transcripts, and fundamental data for 60,000+ public companies via 25 read-only tools.
    25
    29 npm
    4
    MIT
  • A
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    Connect any AI to PostgreSQL, MySQL, or SQL Server — 24 dialect-aware tools for query, schema, optimization, and more.
    23
    30 npm
    1
    MIT
  • A
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    19 public-data tools for AI agents: Google SERP with full AI Overviews, Google AI Mode, Southeast Asia + global news mentions, Google Maps, Jobs, Trends, Ads Transparency, website contacts, YouTube, TikTok and more. Each tool runs a pay-per-result Apify actor on your own Apify token, with a per-call spending cap.
    20
    702 npm
    MIT
  • A
    license
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    maintenance
    Enables AI assistants to access and analyze financial data including stock information, company fundamentals, and market insights through the Financial Modeling Prep API.
    267
    332 npm
    149
    TypeScript
    Apache 2.0
  • A
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    Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.
    42 npm
    MIT
  • A
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    Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.
    MIT
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    Enables MCP clients to retrieve US stock market OHLCV data, company fundamentals and financial statements, FRED macroeconomic indicators, market news, Reddit/StockTwits sentiment, and Polymarket prediction market probabilities via simple tools.
    MIT
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    Lets MCP clients safely investigate live business data across multiple enterprise APIs by giving each subject a consistent scoped pseudonym and surfacing disagreements between sources as findings.
    1
    Apache 2.0
  • A
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    Provides AI assistants with access to comprehensive financial data including real-time stock quotes, company fundamentals, financial statements, market analysis, SEC filings, and economic indicators through 253+ tools across 24 categories.
    332 npm
    Apache 2.0
  • A
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    Provides AI assistants access to comprehensive financial data including real-time stock quotes, company fundamentals, financial statements, market analysis, economic indicators, and 250+ financial tools across 24 categories from Financial Modeling Prep API.
    332 npm
    Apache 2.0
  • -
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    Real-time financial market data MCP server. Stocks, crypto, technicals, sentiment, FDA calendar. No API keys required.
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  • A
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    Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.
    12
    6
    663 PyPI
    932
    Apache 2.0
  • A
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    A MCP server exposing 95 US government open-data tools as agent-callable tools, enabling direct access to official APIs for environmental, financial, licensing, and infrastructure data with honest run-status reporting.
    15
    386 npm
    MIT
  • A
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    Any Norwegian company's revenue, profit, debt and who sits on its board, which companies are going bankrupt, who owns what through group structures, plus house prices, mortgage rates, wages and inflation straight from Statistics Norway. Official registers, no API keys, every answer cites its source.
    14
    21 PyPI
    1
    MIT
  • A
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    Seven read-only tools help AI agents review public breach disclosures, organization histories, incident timelines and aggregate statistics. Preserve source attribution, redaction and incomplete-coverage warnings. Local threat-text triage needs no key; no breached data, credentials or private records are collected.
    2
    7
    MIT