"A server for finding macroeconomic data" matching MCP tools:

• explain_findingA

  MalinoisA

  Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.

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• search_filingsA

  Nordic Financial MCPA

  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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• amazon_get_keyword_metricsA

  Manifold MCPA

  Monthly Amazon search volume for up to 1,000 keywords you already have, in the order given. Use when: "how many people search Amazon for X", comparing Amazon demand with Google demand, sizing a product idea on Amazon. Not for: Google volume, use seo_get_keyword_metrics. Finding keywords, use amazon_search_keywords. Returns: List. rows[]: keyword, volume (monthly Amazon searches; null = no data). Cost: 5 + 5 per 100 keywords. 10 keywords = 6 credits. Cached 7 days. Example: {"keywords": ["standing desk", "desk converter"]}

  ConnectorAPI key

• cc.economic_calendarA

  Central Command — x402 Trading IntelligenceA

  Call cc.economic_calendar — Upcoming high-impact macroeconomic events (CPI, FOMC, NFP, etc.) with forecast vs previous values. 60-min cache. Purpose: Upcoming high-impact macroeconomic events (CPI, FOMC, NFP, etc.) with forecast vs previous values. 60-min cache. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Responses may be cached (~3600s). Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.001 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 60/min (per API key). Tier: standard. Returns: Array of events with dates, countries, impact level, forecast/actual/previous values. Guidelines: Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone. Tags: macro, calendar, fomc, cpi, nfp, economic.

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• cc.economic_calendarA

  Central CommandA

  Call cc.economic_calendar — Upcoming high-impact macroeconomic events (CPI, FOMC, NFP, etc.) with forecast vs previous values. 60-min cache. Purpose: Upcoming high-impact macroeconomic events (CPI, FOMC, NFP, etc.) with forecast vs previous values. 60-min cache. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Responses may be cached (~3600s). Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.001 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 60/min (per API key). Tier: standard. Returns: Array of events with dates, countries, impact level, forecast/actual/previous values. Guidelines: Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone. Tags: macro, calendar, fomc, cpi, nfp, economic.

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• memory_saveA

  tw-market-dataA

  Remember something, with its sources and its knowledge time. Nothing is ever overwritten: saving a `factor_def` or `watchlist` under an existing key SUPERSEDES the previous version (both rows survive, so "what did I believe in June?" stays answerable), and saving identical content twice is a no-op rather than a duplicate. Args: kind: 'query' | 'factor_def' | 'watchlist' | 'finding' | 'note'. content: the thing to remember, as an object. key: the stable name — REQUIRED for 'factor_def' and 'watchlist' (that is what makes a definition reusable next session instead of re-invented). as_of: the knowledge time this memory is about. Recall can bound on it, which is what keeps a memory from leaking the future into a point-in-time question. source_query_ids: the `twmd_q_…` ids behind this. REQUIRED for 'finding' — a conclusion that cannot point at its data is not evidence, and will be refused. agent_id: optional label for which of your agents wrote this.

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• create_security_dispositionA

  AnkraB

  Record a disposition for a finding. For a cluster vulnerability: acknowledge it (security.triage) or accept the risk (security.manage), scoped to the add-on the occurrence is attributed to, with a reason, an optional review deadline and whether it lapses when a fix ships. Every occurrence the selector matches is dispositioned at once - run preview_security_disposition first and put its match count in the proposal. Needs an active occurrence with high-confidence add-on attribution; one without is refused. For a Semgrep or Checkov finding that blocks the Ankra Pipelines image gate (scope repository_code, security.manage): record it as false_positive or accepted_risk (accepted_risk needs expires_at within a year), with a reason; the gate stops blocking on that rule in that file and names the disposition on every run it lets through, and the finding stays scanned and recorded. Use this for a reviewed false positive instead of adding an inline nosemgrep. A CRITICAL finding is refused. Reversible: revoke_security_disposition reopens the findings.

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• get_macro_seriesA

  Backtest360A

  Observations for one macroeconomic series over an optional date range. Free — no special plan. ``series`` is an ``id`` from list_macro_series (e.g. treasury_10y, cpi, unemployment_rate); arbitrary external ids are not accepted. ``start``/``end`` are ``YYYY-MM-DD``, inclusive, both optional (full history when omitted). Returns the value series at its native reporting frequency, with the series descriptor and an ``as_of`` date. A long history is downsampled by the MCP server to a bounded number of points (first and last kept), marked with ``downsampled_from_bars`` and ``points_returned`` on the ``observations`` block. Note: values are the latest revised figures stamped by reference period, not point-in-time as-first-reported data — do not treat them as the values that were known at a past date.

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• macro_seriesA

  Sausage FinanceA

  US macroeconomic series (CPI, unemployment, fed funds, 10-year treasury, real GDP). Pass an id for one series, omit to list what's available. Paid: call without x_payment to receive this call's exact terms (amount, asset, network), sign them, then call again with x_payment. The free `pricing` tool lists every price at once.

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• macro_seriesA

  Professor Sausages — FinanceA

  US macroeconomic series (CPI, unemployment, fed funds, 10-year treasury, real GDP). Pass an id for one series, omit to list what's available. Paid: call without x_payment to receive this call's exact terms (amount, asset, network), sign them, then call again with x_payment. The free `pricing` tool lists every price at once.

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• get_finding_remediationA

  RoutebaseA

  Get remediation advice for a single finding as GitHub-flavored markdown. When AI Assist is enabled and within budget this is a suggestion written for this exact finding; otherwise it falls back to the static guidance-library text and says so in 'source'. Unlike the other reads this one can spend AI budget, which is why it is a separate tool. Use this for advice on one finding; for the whole library use list_security_guidance. Requires project context.

  ConnectorAPI key

• withdraw_findingA

  northreachB

  Retract support for a finding you authored, with a reason. Original content remains visible and labeled withdrawn. Identical retries are safe; this does not claim the finding is disproven.

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• super_helpA

  Super ArtifactsA

  Plain-text notes for when it is unclear which tool, data store or argument shape does a job. Topics: `tools` (a line per tool), `data` (which store a page needs and how the page writes to it), `templates` (finding, building from, drafting, releasing), `collections` (content models and field types), `projects` (creating, ordering, sharing, rules), `batch` (what each tool takes in one call). Without `topic`: the full topic list, which names two more reached from results. Answers `{topic, text}`; not needed when a tool’s own description answers the question.

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• list_macro_seriesA

  Backtest360A

  List the available macroeconomic series (the catalog). Free — no special plan. Returns the set of macro series you can fetch with get_macro_series, each with its stable ``id`` (the value get_macro_series takes), title, category, native reporting frequency, and units, plus the list of categories. Optionally filter to one ``category`` (e.g. rates, yield_curve, inflation, employment, recession, growth). Call this first to find the ``id`` for the series you want.

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• us_macro_indicatorsA

  MCPFax Macro & Market IntelligenceA

  US macroeconomic indicators from the St. Louis Fed (FRED): effective federal funds rate in percent, CPI and core PCE index levels, unemployment rate in percent, and M2 money stock, each with its own observation date. IMPORTANT: this is a STORED SNAPSHOT, not a live read of FRED at request time — fred.stlouisfed.org blocks Cloudflare Workers (HTTP 520), so the snapshot is refreshed out of band. Every response carries `snapshot.captured_at` and `snapshot.age_hours`; check them before relying on the figures, and read `as_of` for the underlying observation date. CPI/PCE/M2 are index levels, not year-over-year rates. Costs $0.01 USDC per call via x402 on Base; an unpaid call returns the payment challenge instead of data, and a call that returns no data is never settled so it costs nothing. Equivalent HTTP route: GET /macro.

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• defi_protocolA

  MCPFax Macro & Market IntelligenceA

  Full DefiLlama detail for one protocol by slug: current TVL in USD with its observation time, per-chain TVL breakdown, category, token symbol, chain list, description and links. Use it after finding a slug with the protocols list. An unknown slug returns an honest not_found and is not billed. Costs $0.005 USDC per call via x402 on Base; an unpaid call returns the payment challenge instead of data, and a call that returns no data is never settled so it costs nothing. Equivalent HTTP route: GET /defi/protocol.

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• list_skillsA

  mcpA

  START HERE for any open-ended request. Lists the task playbooks this server supports — systematic learning from bookmarks, organising into themes, cleaning up, X-list intelligence, exporting data out, finding a half-remembered save, digests, and diagnosing sync. Each names when to use it; call get_skill for the exact tool sequence.

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• list_security_guidanceA

  RoutebaseA

  List the static security guidance library — one entry per OWASP API-security issue with its remediation text, code examples and references. Pass guidanceId (the guidanceId of a finding) for a single entry. The library is global, not project-specific. Use this for the general library; for advice on one finding use get_finding_remediation.

  ConnectorAPI key

• calendar.macro_ddayA

  AlphaPipeline Agent MCPA

  Use this tool when an agent plans trading schedules around major US macroeconomic volatility, specifically days remaining until FOMC rate decisions, CPI prints, or NFP jobs reports. Zero-dependency static 2026 macro calendar with 100% uptime and no upstream failure risk. Do not use for real-time market price data or economic forecast consensus figures. No input parameters. Paid in USDC on Base.

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• calendar.macro_ddayA

  alphapipelineA

  Use this tool when an agent plans trading schedules around major US macroeconomic volatility, specifically days remaining until FOMC rate decisions, CPI prints, or NFP jobs reports. Zero-dependency static 2026 macro calendar with 100% uptime and no upstream failure risk. Do not use for real-time market price data or economic forecast consensus figures. No input parameters. Paid in USDC on Base.

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• get_researchA

  CitehoundA

  Returns Citehound’s published research: with no argument, the list of reports (the llms.txt and crawler study, the AgaOne case study and the benchmark data) with title, date, one-line finding and URL; with a slug, the key findings, the method limits, the URL and a ready line for citing it. Findings are checked against the published pages and data files. Every study measures readiness inputs, not whether any assistant names a brand. Read-only, fetches nothing external. Use when the user wants evidence for a claim about AI crawler access or llms.txt, a statistic to cite, or the reports behind the benchmarks.

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