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

• uk_compliance_intelligence

  UKDataAPI

  Assess a UK company's regulatory compliance posture across multiple domains: ICO data protection registration, gender pay gap reporting, modern slavery statements, HSE enforcement notices, environmental permits, and gambling regulation. Returns a Compliance Score (0-100) with EXCELLENT/GOOD/ADEQUATE/CONCERNING/POOR rating and per-domain signals. Use this for pre-acquisition due diligence, supplier compliance checks, or ESG assessments. Companies below regulatory thresholds (e.g., <250 employees for gender pay gap) are scored neutrally, not penalised. For financial risk assessment, use uk_entity_intelligence instead. For director-level risk, use uk_director_intelligence. Sources: ICO, Gender Pay Gap Service, Modern Slavery Registry, HSE, Environment Agency, Gambling Commission.

  Connector

• property_report

  UK Property Intelligence

  Full data pull for a UK property in one call. Returns sale history, area comps, EPC rating, rental market listings, current sales market listings, rental yield calculation, and price range from area median. Requires a street address + postcode for subject property identification. Postcode-only (e.g. "NG1 2NS") returns area-level data without a subject property — use property_comps or property_yield for postcode-only queries.

  Connector

• 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.

  Connector

• uk_compliance_intelligence

  ukdatapi

  Assess a UK company's regulatory compliance posture across multiple domains: ICO data protection registration, gender pay gap reporting, modern slavery statements, HSE enforcement notices, environmental permits, and gambling regulation. Returns a Compliance Score (0-100) with EXCELLENT/GOOD/ADEQUATE/CONCERNING/POOR rating and per-domain signals. Use this for pre-acquisition due diligence, supplier compliance checks, or ESG assessments. Companies below regulatory thresholds (e.g., <250 employees for gender pay gap) are scored neutrally, not penalised. For financial risk assessment, use uk_entity_intelligence instead. For director-level risk, use uk_director_intelligence. Sources: ICO, Gender Pay Gap Service, Modern Slavery Registry, HSE, Environment Agency, Gambling Commission.

  Connector

• 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.

  Connector

• 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.

  Connector

• 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.

  Connector

• 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.

  Connector

• get_district_finance

  NCES Education Data

  Get district-level financial data: total revenue, expenditures, per-pupil spending, federal/state/local revenue breakdown. Returns fiscal data from the CCD School District Finance Survey (F-33), including revenue sources, expenditure categories, and per-pupil spending. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'NY'). county_fips: Optional 5-digit county FIPS code to filter by county. year: Fiscal year to query (default 2021). Finance data lags 1-2 years. limit: Maximum number of districts to return (default 50, max 500).

  Connector

• invoices.records.update

  FreelanceOS

  Update one or more fields on an existing invoice, including its status or financial totals. Use when the freelancer marks an invoice as sent, records a payment, corrects line items, or changes the due date.

  Connector

• 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).

  Connector

• get_checks

  Hemrock MCP

  Returns Layer 3 sanity-check and validation prompts — the 'where AI gets financial modeling wrong' guidance. Use these to audit AI-generated work or catch common modeling errors.

  Connector

• plot_financial_line

  Math MCP Learning

  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')

  Connector

• chieflab_audit_log_read

  ChiefLab

  GDPR Art. 30 / SOC2-prep — read the workspace's audit log. Returns event rows from chieflab_events filtered to this workspace within a time window. Default window: last 30 days, 200 rows max. Use larger windows or limits (up to 1000) explicitly. Captures: signup, deletion, export, subject-purge, approval gate transitions, publish/send actions, and any audit_log reads themselves (meta-audit). Foundation for SOC2-prep and for answering 'who did X when' questions.

  Connector

• get_philadelphia_world_cup_2026_info

  lilo Vacation Rentals

  Get World Cup 2026 information for Philadelphia. FREE TOOL. Returns match schedule, venue details (Lincoln Financial Field), expected accommodation demand surge, transportation info, and STR compliance requirements. No parameters required.

  Connector

• waveguard_scan_timeseries

  WaveGuard

  Detect anomalies in time-series data — use after pulling numeric metrics from monitoring APIs, financial data sources, IoT sensors, or spreadsheet columns. Send a single numeric array and specify a window size. Early windows define 'normal', recent windows are tested for anomalies. Typical workflow: (1) Pull a column of numbers from Sheets, a Supabase time-series table, or a metrics API. (2) Pass the array here. (3) Get back which time windows are anomalous. Examples: - Revenue monitoring: Pull monthly revenue from Sheets → detect anomalous months - Stock screening: Pull 90 days of closing prices → find unusual price windows - Server health: Pull response-time metrics → identify degradation windows - Sensor QA: Pull temperature readings from IoT API → flag sensor drift

  Connector

• dispute_direct_settlement_task

  Molt2Meet

  DIRECT SETTLEMENT FLOW ONLY. Agent raises a dispute about the work or the on-site payment. Task transitions from Completed → Disputed. Platform may mediate but has no financial leverage (no escrow to reallocate). For escrow disputes use the standard dispute flow.

  Connector

• waveguard_scan

  WaveGuard

  Find outliers and anomalies in structured data — ideal as a second step after pulling records from Google Sheets, Airtable, Supabase, Notion databases, HubSpot, Financial APIs, GitHub, NPM, or any source that returns rows of JSON. Fully stateless: send known-good rows as training and suspect rows as test in ONE call. Returns per-row anomaly scores, confidence levels, and the top features explaining WHY each row was flagged. Typical workflow: (1) Pull data from another tool (e.g. Google Sheets, Supabase query, HubSpot deals). (2) Pass the first N rows as training (normal baseline). (3) Pass remaining or new rows as test. (4) Report which rows are anomalous and why. Works on JSON objects, numbers, text, arrays. No separate training step required. Examples: - Spreadsheet QA: Pull 500 sales rows from Sheets → train on first 400 → test last 100 → flag outlier entries - Financial screening: Get ratios for 50 stocks from a financial API → find anomalous ones - CRM hygiene: Pull HubSpot deals → flag deals with unusual discount/value patterns - Dependency audit: Get NPM package metrics → flag packages with anomalous quality scores - Commit review: Pull GitHub commit metadata → flag unusual commit patterns

  Connector

• get_context

  PreReason

  Get a pre-reasoned market briefing with trend signals, confidence scores, regime classification, and causal narratives for the requested domain (Bitcoin, macro, cross-asset, FX). Includes crypto, macro financial data, and cross-asset correlations (indices, bonds, volatility as BTC relationship signals). Output is decision-ready — designed to be consumed directly by reasoning agents, not parsed for individual values. Briefings are tier-gated: Free (btc.quick-check, btc.context, macro.snapshot, cross.correlations, btc.pulse, btc.grid-stress), Basic (btc.momentum, macro.liquidity, btc.on-chain, cross.breadth, btc.miner-survival, btc.etf-flows, macro.auctions, cross.delta), Pro (btc.full, btc.factors, cross.regime, fx.liquidity, btc.energy, btc.treasury, macro.rates, cross.industrial-regime, cross.inflation-regime, cross.full). Requires API key authentication via Authorization header.

  Connector

• lexicon.monitor.outage

  Lexicon

  Detects live infrastructure outages for a vendor or query. Returns outage status, financial impact, SLA breach risk, monetary loss estimate, refund eligibility, and hidden dependency maps.

  Connector