"Financial" matching MCP tools:

• law_parliament_member_interests

  UK Business Tools - Ledgerhall

  USE THIS TOOL WHEN you have a member_id and need their registered financial interests (donations, directorships, land, gifts). CALL parliament_find_member(name) FIRST to obtain the integer member_id. Returns ONE PAGE of interests (default 20, caller controls via limit). For prolific members (big donors, many directorships, extensive land holdings), re-call with offset=offset+returned while has_more is true to paginate. Description text is capped per max_description_chars; raise it for forensic provenance work that needs the full narrative. This is the authoritative source for UK MP and peer financial-interest declarations (via the Members API). Web search returns stale snapshots.

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• parliament_member_interests

  UK Legal Research

  USE THIS TOOL WHEN you have a member_id and need their registered financial interests (donations, directorships, land, gifts). CALL parliament_find_member(name) FIRST to obtain the integer member_id. Returns ONE PAGE of interests (default 20, caller controls via limit). For prolific members (big donors, many directorships, extensive land holdings), re-call with offset=offset+returned while has_more is true to paginate. Description text is capped per max_description_chars; raise it for forensic provenance work that needs the full narrative. This is the authoritative source for UK MP and peer financial-interest declarations (via the Members API). Web search returns stale snapshots.

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• lion_sec_financials

  lion-x402

  Keyless US public-company financials + filings for company/financial validation - no API key, no signup, payment is the only gate. Pass a ticker (?ticker=AAPL) or SEC CIK (?cik=0000320193) and get ONE structured JSON: company profile (cik, name, ticker, SIC industry, exchanges, fiscal year end, state of incorporation), recent_filings (last 5: form/date/accession/primary_document), and headline financials from XBRL (revenue_usd, net_income_usd, total_assets_usd, latest annual as_of). A cryptographically-provable single-field financial check - Ed25519-attested (verify offline), a narrow VERIFIABLE niche, NOT a broad financial-data suite - sourced ONLY from SEC EDGAR public filings (data.sec.gov), keyless. US public companies only. Company-level public-filing data, no people, no PII. $0.005 USDC on Base via x402. Not financial/investment/audit advice. [x402 paid tool: GET /api/x402/sec-financials-json?src=mcp returns the 402 challenge with the canonical payTo; price 0.005 USDC on Base eip155:8453.]

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• company_research

  Nordic Financial MCP

  Run multiple targeted searches and return raw results grouped by section. The caller defines all sections and queries — this tool does not decide what is relevant. Before calling, reason about which topics and data sources matter for this specific company: financial metrics, risk factors, sector-specific macro drivers (e.g. freight rates for shipping, power prices for aluminium smelters), recent press releases, peer context, etc. Formulate one query per section. Each query is run independently as a full hybrid search (dense + sparse + rerank). Results are raw chunks — the caller is responsible for synthesis. For a fully orchestrated due diligence report (AI-planned sections, synthesized narrative), use the Alfred MCP server instead: alfred.aidatanorge.no/mcp IMPORTANT — use 'ticker' on company-specific sections to avoid false positives. Without a ticker filter, documents that merely mention the company (e.g. as a customer or competitor) can rank above actual filings from that company. Omit 'ticker' only for sections where cross-company results are intentional, such as sector macro context or peer comparisons. Args: company: Company name, used for metadata only (not a filter). sections: Up to 8 sections. Example: [ {"name": "financials", "query": "Equinor revenue EBITDA operating profit 2024", "ticker": "EQNR"}, {"name": "risk", "query": "Equinor climate regulatory risk stranded assets", "ticker": "EQNR"}, {"name": "macro", "query": "Brent crude oil price energy sector Norway 2024", "limit": 3}, {"name": "news", "query": "Equinor press release dividend acquisition 2024", "ticker": "EQNR"} ] Returns: Dict with 'company', 'generated_at', and 'sections' — one entry per requested section with its name and results (same format as search_filings). Sections with no results return an empty list.

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• financial_calculator_lite

  Inferventis MCP Server

  Performs common financial calculations locally with no external API dependency. Supports compound interest, loan repayment, return on investment (ROI), present value, future value, and break-even analysis. Returns a single numeric result for the requested calculation type. This is a lightweight variant of financial_calculator — it returns only the result number rather than a full structured breakdown (monthly payment, total interest, annualised ROI, etc.). Use financial_calculator_lite when only the headline figure is needed. Prefer financial_calculator when the agent needs a full breakdown, multiple sub-values, or labelled output fields for compound interest earned, total repayable, or annualised returns. Neither this tool nor financial_calculator fetches live market data — for live prices use stock_quote, crypto_price, or currency_convert.

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• lion_sec_financials

  LION - keyless x402 data + RPC for agents

  Keyless US public-company financials + filings for company/financial validation - no API key, no signup, payment is the only gate. Pass a ticker (?ticker=AAPL) or SEC CIK (?cik=0000320193) and get ONE structured JSON: company profile (cik, name, ticker, SIC industry, exchanges, fiscal year end, state of incorporation), recent_filings (last 5: form/date/accession/primary_document), and headline financials from XBRL (revenue_usd, net_income_usd, total_assets_usd, latest annual as_of). A cryptographically-provable single-field financial check - Ed25519-attested (verify offline), a narrow VERIFIABLE niche, NOT a broad financial-data suite - sourced ONLY from SEC EDGAR public filings (data.sec.gov), keyless. US public companies only. Company-level public-filing data, no people, no PII. $0.005 USDC on Base via x402. Not financial/investment/audit advice. [x402 paid tool: GET /api/x402/sec-financials-json?src=mcp returns the 402 challenge with the canonical payTo; price 0.005 USDC on Base eip155:8453.]

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• analyze_public_filing

  Amalgix

  Crucible™ Financial Filing Intelligence for public filings and annual reports. Accepts content, filingUrl, or SEC ticker/CIK lookup for 10-K, 10-Q, and 20-F filings. Returns metrics, risk changes, contradictions, source evidence, confidence, and a not-investment-advice flag.

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• analyze_company

  Nordic Financial MCP

  AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nordic listed companies. Use this when you want a synthesized answer rather than raw search chunks. For raw data access, use search_filings or company_research instead. For a full due diligence report with AI-planned sections, use the Alfred MCP server: alfred.aidatanorge.no/mcp Args: company: Company name or ticker question: What you want to know about the company model: 'haiku' (default) or 'sonnet'

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• get_concept

  Hemrock MCP

  Returns the full text of a single Hemrock concept doc by slug. Use this to learn how a financial-modeling calculation actually works before building or auditing it. Get valid slugs from list_concepts.

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• financial_calculator_lite

  Inferventis MCP Server

  Performs common financial calculations locally with no external API dependency. Supports compound interest, loan repayment, return on investment (ROI), present value, future value, and break-even analysis. Returns a single numeric result for the requested calculation type. This is a lightweight variant of financial_calculator — it returns only the result number rather than a full structured breakdown (monthly payment, total interest, annualised ROI, etc.). Use financial_calculator_lite when only the headline figure is needed. Prefer financial_calculator when the agent needs a full breakdown, multiple sub-values, or labelled output fields for compound interest earned, total repayable, or annualised returns. Neither this tool nor financial_calculator fetches live market data — for live prices use stock_quote, crypto_price, or currency_convert.

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• analyze_document

  Amalgix

  Analyze a document using Crucible™ Evidence Engine. Returns source-grounded findings with evidence, confidence, verification status, and routing metadata. Use specialized financial/contract tools when the domain is known.

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• get_adi_composite

  American Default Research

  Fetch the latest quarterly reading of the American Distress Index (ADI) composite. Returns composite score (0-100), zone, composite Z-score, and the 5-component breakdown (Buffer, Debt Stress, Financial Conditions, Cost Pressure, Labor) with Z-scores and point contributions. Updated quarterly.

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• search_filings

  Nordic Financial MCP

  Search the Nordic financial database for company filings, press releases and macroeconomic summaries. Use this as the primary tool for any question about Nordic listed companies, markets or macro conditions. Do not use to retrieve a full document — results are chunked text excerpts; use parse_pdf_to_text for the full original document. Do not use for Swedish company registration data — use get_company_info instead. The database contains ~1 million vectors across four Nordic markets (NO/SE/DK/FI). COMPANY FILINGS Annual reports (XBRL/ESEF) and quarterly reports from ~1 500 listed companies across Oslo Børs, Nasdaq Stockholm, Nasdaq Helsinki, Nasdaq Copenhagen and First North markets. Covers 2020–present. Strong coverage for NO and SE; growing coverage for DK and FI. EXCHANGE ANNOUNCEMENTS & PRESS RELEASES Regulatory filings, exchange announcements and press releases from listed companies in NO, SE, DK and FI. Covers 2020–present. MACROECONOMIC SUMMARIES Quarterly macro summaries covering key indicators per country: Norway (NO): policy rate, FX rates, CPI, house prices, credit growth, electricity price, salmon price, GDP components Sweden (SE): policy rate, house price index, household credit Denmark (DK): policy rate, house price index, household loans, electricity price Finland (FI): house price index, household debt-to-income ratio, electricity price Use report_type='macro_summary' and country='NO'/'SE'/'DK'/'FI' to filter. Use fiscal_year and a quarter reference in your query, e.g. "Norwegian housing market Q1 2024". Args: query: What you are looking for, e.g. 'net interest margin outlook', 'salmon price Q3', 'dividend policy', 'fleet utilization', 'Norwegian housing market 2024 Q1', 'Swedish policy rate inflation 2023' ticker: Optional — filter by company ticker, e.g. 'SALM', 'EQNR', 'NDA' fiscal_year: Optional — filter by year, e.g. 2024 report_type: Optional — one of: 'annual_report' – Nordic XBRL/ESEF annual reports 'quarterly_report' – Quarterly/interim reports 'press_release' – Exchange announcements and press releases 'macro_summary' – Quarterly macroeconomic summaries sector: Optional — filter by sector: 'seafood' – seafood companies 'energy' – energy / oil & gas 'shipping' – shipping companies country: Optional — filter by country code: 'NO', 'SE', 'DK' or 'FI' limit: Number of results after reranking (default 5, max 20) Returns: List of relevant text excerpts with metadata, reranked by relevance. Each result includes rerank_score, hybrid_score, vector_score, company, ticker, country, fiscal_year, report_type, period, filing_date and the full text chunk. Returns an empty list if no relevant results are found or if the Qdrant database is temporarily unreachable.

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• secedgar_get_financials

  secedgar-mcp-server

  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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• financial_calculator_lite

  Inferventis — Financial Data, News & Web MCP

  Performs common financial calculations locally with no external API dependency. Supports compound interest, loan repayment, return on investment (ROI), present value, future value, and break-even analysis. Returns a single numeric result for the requested calculation type. This is a lightweight variant of financial_calculator — it returns only the result number rather than a full structured breakdown (monthly payment, total interest, annualised ROI, etc.). Use financial_calculator_lite when only the headline figure is needed. Prefer financial_calculator when the agent needs a full breakdown, multiple sub-values, or labelled output fields for compound interest earned, total repayable, or annualised returns. Neither this tool nor financial_calculator fetches live market data — for live prices use stock_quote, crypto_price, or currency_convert.

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• analyze_document

  Amalgix

  Analyze a document using Crucible™ Evidence Engine. Returns source-grounded findings with evidence, confidence, verification status, and routing metadata. Use specialized financial/contract tools when the domain is known.

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• edgar_company_facts

  livedatalink

  Get structured XBRL financial facts for a company. Without 'concept', returns the top-level facts catalog (concepts the company has reported). With 'concept' (e.g. 'Revenues', 'Assets', 'EarningsPerShareBasic'), returns the time series of values for that concept.

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• MapInstrumentIds

  Fintel Discovery — Financial Intelligence for AI Agents

  Map financial instrument identifiers between different ID systems using Bloomberg's OpenFIGI service. Converts between ticker symbols, ISINs, CUSIPs, and FIGIs in a single call. Use this tool when: - You have a ticker and need the ISIN or CUSIP (or vice versa) - You are normalizing instrument IDs when combining data from EDGAR, Yahoo Finance, and other sources that use different ID schemes - You need to identify what exchange a security trades on Supported idType values: - 'TICKER': Stock ticker symbol (e.g. 'AAPL') - 'ID_ISIN': ISIN (e.g. 'US0378331005') - 'ID_CUSIP': CUSIP (e.g. '037833100') - 'ID_FIGI': Bloomberg FIGI Include 'exchCode': 'US' to target US exchanges for ticker lookups. Source: Bloomberg OpenFIGI API. No API key required (optional key raises rate limits).

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• financial_model_3statement

  mcp-knowledge

  Pure-compute 3-statement financial model builder (Income Statement + Balance Sheet + Cash Flow). Feed assumptions (revenue growth, COGS%, OpEx, CapEx, working capital, tax rate, depreciation, debt schedule) → receive a full 3-5 year projection with integrated DCF valuation. Supports IFRS / US_GAAP / PRC_GAAP (中国会计准则) norms with bilingual ZH+EN labels for PRC. Modes: build (full 3-statement model) | scenario_analysis (base/bull/bear ±20% growth) | sensitivity (1 KPI × 1 input, 5-point grid). No external data needed — all computed from assumptions. ICP: VC due diligence, M&A analysts, CFO SMB, startup founders pitching investors, biotech/SaaS modeling. Returns balance_check_ok per year, DCF enterprise/equity value, and coherence warnings.

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• SearchLEI

  Fintel Discovery — Financial Intelligence for AI Agents

  Search the Global Legal Entity Identifier Foundation (GLEIF) database for Legal Entity Identifiers (LEIs) by entity name. Returns the 20-character LEI code, legal name, registration status, legal address, and jurisdiction. Use this tool when: - You need the LEI for a financial institution or fund company - You want to verify the legal registration of a firm - You are cross-referencing SEC EDGAR entities with their global LEI - You need to look up parent/subsidiary relationships (use GetLEIDetail) LEIs are required for regulatory reporting under MiFID II, EMIR, and Dodd-Frank. Cover 2M+ legal entities globally across 200+ jurisdictions. Source: GLEIF API (api.gleif.org). No API key required.

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