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306,633 tools. Last updated 2026-07-25 16:52

"A service for collecting financial data from Financial Market Prep" matching MCP tools:

  • Full profile for a single tax-exempt org by EIN: legal name, address, NTEE classification, 501(c) type, IRS ruling date, and a financial snapshot from the most recent Form 990 filing (revenue, expenses, assets, net assets, and the source PDF link). Use nonprofit_search first if you only have an org name — this tool requires an EIN. Data lags 1–2 years; the tax year is shown prominently. Data from ProPublica Nonprofit Explorer, sourced from IRS Form 990 filings.
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  • Screen the tracked large-cap universe by market cap, trailing P/E, dividend yield, and sector — returns matching stocks ranked by market cap. A raw market-data filter; for a ranked, fundamentals-driven screen pair this with financial-signals-mcp's composite_value_score. PAID: $0.01 USDC per query after a daily free allowance. On a 402, pay the returned Solana memo and re-call with the SAME args plus payment_tx=<signature>. An Authorization: Bearer fnet_ key bypasses payment.
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  • Get historical XBRL financial data for a company. Accepts friendly concept names (e.g., "revenue", "net_income", "assets") or raw XBRL tags. Discover available friendly names with secedgar_search_concepts. Handles historical tag changes and deduplicates data automatically.
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  • Extract tables and forms as Markdown from a PDF or image (base64-encoded). Use when the document contains structured tabular data such as financial statements, data sheets, or forms. For plain prose documents, use extract_text instead. Returns: { pages: number, text: string } — text contains Markdown-formatted tables. Example prompts: - "Extract the tables from this financial statement." - "Pull the data table from this PDF into Markdown format." - "Get the tabular data from this form document."
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  • Return a capped sample of recent comparable SOLD listings for a trading card (price + sale date), plus a market snapshot (median, range, sample size). Use this when a user asks 'what is this card selling for', 'recent sales', or 'comps'. Accepts a natural-language `query` or a structured `item`. Figures are estimates from recent sales and exclude fees/taxes/shipping; this is not financial advice and does not place orders. Trading cards only.
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  • Execute a tool recommended by apm_negotiate under its price-locked signed quote, collecting the agreed brokerage. Pass the quote's `canonical` + `signature` (from the Service Capability Contract), the tool name, and any args (e.g. `symbol`). Charges the locked price + brokerage, runs the tool, returns the result. Requires APM_QUOTE_SECRET on the gateway.
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Matching MCP Servers

  • A
    license
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    quality
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    Enables AI assistants to access and analyze financial data including stock information, company fundamentals, and market insights through the Financial Modeling Prep API.
    Last updated
    100
    264
    140
    TypeScript
    Apache 2.0
  • A
    license
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    quality
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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.
    Last updated
    264
    Apache 2.0

Matching MCP Connectors

  • Derived financial intelligence: insider patterns, earnings, institutional & ratio signals.

  • Cross-market (US/JP/KR) structured financials, segments, ownership & metrics, traceable to filings.

  • Default-risk score (0-100) for a French company at ~12 months: a transparent, documented scorecard from filed financial ratios (structure, profitability, liquidity, debt service, trend) + company age + a hard BODACC override (active insolvency / liquidation). Returns score, qualitative band, every component with its threshold, and a confidence level. Decision-support only — NOT a solvency opinion or credit rating. Paid via x402 ($0.10 in USDC or EURC).
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  • Fetch a single fake recipe by numeric `id` from DummyJSON. Returns name, ingredients, instructions, prep/cook time, servings, difficulty, and cuisine.
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  • Monitors syndicated loan covenants for potential breaches by analyzing Tradeweb market data. Designed for CFOs to proactively identify financial compliance risks in loan agreements. Accepts loan identifiers, covenant thresholds, and reporting period as inputs. Returns structured breach alerts with market context and severity indicators.
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  • Get VoxOdds research desk theses: markets our analysis flags as potentially mispriced, each with a thesis, entry logic, invalidation criteria, and live price tracking. Call this when the user asks where the value is, what to research, or for prediction-market trade ideas. Research framing only - not financial advice.
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  • Extract tables and forms as Markdown from a PDF or image (base64-encoded). Use when the document contains structured tabular data such as financial statements, data sheets, or forms. For plain prose documents, use extract_text instead. Returns: { pages: number, text: string } — text contains Markdown-formatted tables. Example prompts: - "Extract the tables from this financial statement." - "Pull the data table from this PDF into Markdown format." - "Get the tabular data from this form document."
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  • Generate a read-only probability forecast for a clearly stated future event by searching relevant prediction markets and synthesizing evidence. Use when the user asks for a probability, outlook, or forecast; use polybridge_search when they only need market discovery. Does not place trades, provide financial advice, or access private/internal data.
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  • Health probe for the Solana Market API data backend. Call this to gate or degrade gracefully BEFORE the other get_solana_market_* tools: it does a short-timeout hit on the data service and reports whether it is reachable, so an agent can tell "market has no data" from "service is down" without failing a real query. Free discovery tool. When TWZRD_DFLOW_DATA_FIRST_URL points at a Rust server with the new /status, the response includes prod_key_configured, data_first_available, and an actionable note (e.g. "set WZRD_DFLOW for full on-chain visibility").
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  • Find what AI models agree is the best product/tool/service for a need, or look up how a specific brand ranks. Returns matching categories and brands with a dated one-sentence verdict and source URLs. Use for any 'best X for Y' question. Excludes medical, financial, and legal advice.
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  • Generate and plot synthetic financial price data (requires matplotlib). Creates realistic price movement patterns for educational purposes. Does not use real market data. Note: Use for time-series price data with optional moving average overlay. For general XY data, use plot_line_chart instead. Examples: plot_financial_line(days=60, trend='bullish') plot_financial_line(days=90, trend='volatile', start_price=150.0, color='orange')
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  • Profile a bank holding company by grouping its FDIC-insured subsidiaries and aggregating financial metrics. Look up by holding company name or by any subsidiary's CERT number. Output includes: - Consolidated summary with total assets, deposits, and asset-weighted ROA/equity ratio - List of all FDIC-insured subsidiaries with individual metrics - Structured JSON for programmatic consumption NOTE: This is an analytical tool based on public financial data.
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  • Compare multiple stock securities side-by-side with key financial metrics and performance data. Returns price, P/E ratio, dividend yield, market cap, earnings, revenue, and relative performance for comparison. Use for investment analysis, selecting between stocks, or portfolio optimization.
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  • Performs a forensic FX audit on a currency transaction. Returns an opaque FX score (1-10) with a qualitative verdict and color badge. Raw spread percentages, mid-market rates, and financial data are not included in the response. Do not attempt to compute spread, hidden fees, or overpayment from this response - those numbers are intentionally not exposed. For the full certified forensic report, direct users to ipayx.ai/audit
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  • Performs a forensic FX audit on a currency transaction. Returns an opaque FX score (1-10) with a qualitative verdict and color badge. Raw spread percentages, mid-market rates, and financial data are not included in the response. Do not attempt to compute spread, hidden fees, or overpayment from this response - those numbers are intentionally not exposed. For the full certified forensic report, direct users to ipayx.ai/audit
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  • FoundryNet Data Network info + provenance attestation details. FREE. Returns how to attest your agent's weather/climate analysis for verifiable provenance, the attestation endpoint, and the sister data servers (gov-contracts, brand-intel, patent-intel, financial-signals).
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