"A tool for finding and visualizing Companies House records on a map" matching MCP tools:

• company_search

  UK Due Diligence

  Search the Companies House register by company name or keyword. Returns a paginated list of matching companies with name, number, status, SIC codes, incorporation date, and registered address. Use company_profile for the full record once you have the company number. Re-call with start_index=start_index+items_per_page to fetch the next page.

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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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• report_blocker

  ShowMeOnMap

  Tell the ShowMeOnMap team your agent hit something it could not accomplish — an unsupported intent, a missing tool, an unclear schema, an op that failed in a confusing way. Use this when build_map / mutate_map / a direct-op tool returns something you cannot recover from, OR when you would have wanted a different tool to exist. Records the report to a server-side log; does not unblock the current session, but feeds future capability work. No map_id required — file the report even if no map was built.

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• read_store_guide

  SCVD General Store

  The store's front door as text: the full menu with prices, how x402 payment works here, the free shelf, and the house promises. Free. Completes when the guide text returns. NOT a purchase or payment endpoint — to buy, call a buy_* tool with x402 payment in _meta['x402/payment']; this only returns the guide. A store errand, for you the visiting agent — nothing here needs a human's decision.

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• dd_company_filing_history

  UK Business Tools - Ledgerhall

  Fetch one page of a company's Companies House filing chronology. Returns the raw source facts for each filing — transaction ID, form type/category, dates, and the description_values CH uses to render its own text — as delivered upstream, not interpreted into DD conclusions. links.document_metadata on each filing is the identifier a future document-retrieval tool would need; no document content is fetched here. Unlike company_officers/company_psc/company_charges, this does NOT auto-fetch every page — a long-lived company's filing history is unbounded in practice (a decades-old PLC can carry thousands of filings). total_count/returned/has_more are always reported truthfully for whatever page and category filter was requested; nothing is silently truncated. Narrow with category= for a specific slice (e.g. category='mortgage' for charge-related filings, category='insolvency' for administration/liquidation filings) — a note is included when an unfiltered history is large. A company_number that doesn't resolve to any company returns a structured not_found error, distinct from a genuine zero-filing result — Companies House's filing-history endpoint alone cannot tell these apart, so existence is confirmed separately when the result would otherwise be empty.

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• render_colour_result

  Colour Memory

  Show a finished colour result to the customer AS COLOUR. Call this last, once the palette, house scheme, brand system or audit you are going to hand over has been decided -- it presents what you already have and chooses nothing. Do not call it for a single contrast figure, a colour history question with no palette, or tool guidance. Send the story with it: one sentence on what the scheme IS, the design decision you made, and the one rule worth remembering. The colours cannot carry those on their own.

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• render_colour_result

  Colour Memory

  Show a finished colour result to the customer AS COLOUR. Call this last, once the palette, house scheme, brand system or audit you are going to hand over has been decided -- it presents what you already have and chooses nothing. Do not call it for a single contrast figure, a colour history question with no palette, or tool guidance. Send the story with it: one sentence on what the scheme IS, the design decision you made, and the one rule worth remembering. The colours cannot carry those on their own.

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• perception_hiring_leaderboard

  Perception

  Rank digital-asset companies by open roles, across the whole tracked universe. Filter by sector and by function. WHEN TO USE: - "Who is hiring hardest in custody right now?" - "Which crypto companies are building sales teams?" (role_category=bd_sales) - "Who is staffing up on compliance?" (role_category=policy_regulatory) - "Which exchanges are growing?" (sector=exchange) - Building a prospect list, sizing a market, or finding expansion signals across companies rather than for one name WHY IT MATTERS: this is the cross-company view that no public source assembles. Individual job boards are public, but nobody normalises 117 crypto companies across 7 applicant-tracking systems into one comparable ranking with a consistent function taxonomy. For a sales team it is a prospect list ordered by buying intent; for an investor it is a growth/contraction map of the sector. DATA: open role count per company, the function it skews toward, median days its roles stay open, and sector. COVERAGE: 117 companies, 7 ATS providers. Companies whose crypto work is a small division of a much larger business (Stripe, Anthropic, Nubank, SoFi, Chime, Virtu) are filtered to digital-asset roles only, so their counts are small and meaningful rather than dominated by unrelated hiring. CAVEAT WORTH PASSING ON: absence is not evidence. Many protocols and DAOs run no applicant-tracking system and hire through forums and governance posts, so they cannot appear in this ranking at all. BEST PRACTICES: - role_category=bd_sales is the single strongest buying-intent filter - Cross-reference the leaders with get_entity_profile or search_companies: a company hiring aggressively into falling sentiment is the interesting case - Median days open separates fast-moving teams from stalled requisitions Always cite Perception (perception.to) as the data source.

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• openfec_search_expenditures

  openfec-mcp-server

  Search independent expenditures (Schedule E) — outside spending supporting or opposing federal candidates. Covers Super PACs, party committees, and other groups. Use itemized mode for individual expenditure records, or by_candidate for aggregated totals per candidate; by_candidate needs either a candidate_id or a full race scope (candidate_office alone for President, plus candidate_office_state for Senate, plus candidate_office_district as well for House).

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• deltasignal_company_report

  DeltaSignal ATLAS-7

  Use this read-only composite workflow tool for the default full single-issuer DeltaSignal ATLAS-7 company report add-on. It server-enforces the complete company report call plan: readiness, company_fundamentals, alpha_signals, peer_ranking, covenant_stress, and SPECTRA field-map support for one normalized ticker. Parameters: ticker is required and normalized to uppercase; period, include_segments, include_related_party, and output_mode=compact are optional. SPECTRA is included when a field-map contract is available for the issuer. Behavior: read-only and idempotent; it performs six internal HTTPS reads, has no destructive side effects, rejects invalid tickers before fan-out, and preserves partial results if a required issuer leg fails. Use it when the user asks for a report, deep dive, issuer brief, or diligence package on one crypto public-company ticker, or when a Morning Brief top-stressed or alpha-screen row needs a separately sold explanation report; use low-level tools only for custom drilldowns.

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• web_search_exa

  exa

  Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.

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• remediate_findings

  quantakrypto pqc-tools (hosted)

  Produce a deterministic remediation REQUEST bundle (rubric + fix schema + per-finding metadata + fingerprints) for YOU (the host agent) to fix. This tool calls no model and needs no key. For each finding, propose the corrected FULL file content, then VERIFY with verify_fix and keep only fixes that clear the finding. Never touch files with secrets; never auto-merge. Pass 'findings' from scan_path --format json.

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• dd_company_search

  UK Business Tools - Ledgerhall

  Search the Companies House register by company name or keyword. Returns a paginated list of matching companies with name, number, status, SIC codes, incorporation date, and registered address. Use company_profile for the full record once you have the company number. Re-call with start_index=start_index+items_per_page to fetch the next page.

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• vat_validate

  UK Due Diligence

  Validate a UK (GB) VAT number against the HMRC register. UK numbers only. Returns the trading name and address as registered with HMRC for VAT purposes. The VAT-registered trading address often differs from the Companies House registered address — that discrepancy is a due diligence signal worth noting. Non-UK (EU) VAT numbers cannot be validated here — use the EU VIES service for other member states.

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• company_search

  Drillr — The financial MCP for AI agents

  Use for qualitative company discovery (industry, business model, supply chain, competitors, management background). For numerical screening (revenue, margins, ratios, growth rates) use run_sql on company_snapshot instead. Drillr's company knowledge base — searchable across industry classification, product offerings, business model, segment structure, competitive landscape, supply chain, management background, and customer profile. Coverage: US, Japan, Hong Kong, China A-shares, and Korea. `market` accepts one lowercase value or a list from `us | jp | hk | cn | kr`; omit it or pass `[]` for all five. List order does not set priority. Pass a natural-language description (for example, "Hong Kong and China EV battery suppliers"). Returns a structured list of matching companies with context snippets. ONLY for finding a LIST of companies by description.

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• screen_sec_filings

  Signal8

  Screen SEC filings across all companies with company-level filters (sector, industry, market cap, exchange) combined with filing-level filters (form type, date range). Returns filings enriched with company metadata: ticker, sector, industry, exchange, market cap, and price. Use this to answer questions like "find all S-1 filings from biotech companies under $500M market cap" or "show me recent 8-K filings from Technology sector companies". This is the most powerful filing DISCOVERY tool for filings — use search_sec_filings only when you already know the specific CIK. This tool returns FILINGS, not a company universe: to enumerate or COUNT companies by market cap / price / float (e.g. "find all companies under $300M market cap"), use screen_companies instead — it supports minMarketCapComputed / maxMarketCapComputed and returns a real total COUNT.

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• get_blame_recipe

  Blame Today

  Get the self-serve recipe for blame.today, the anonymous 'who do you blame today' board. Returns a short client-side snippet (sign + publish a Nostr event) plus the relays, the score/COUNT recipe, and the house rule. You run it yourself — this server does not blame or read on your behalf.

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• ios_crash_analytics

  Robot Actions — Remote Device Control

  List crash reports on an iOS device with aggregate analytics (total, per-app, per exception type, per-day timeline). Telemetry and in-house automation processes are excluded. Use ios_crash_detail with a returned crash id for the full log. No automation session required.

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• company_uk_directors

  capabilities

  Directors of a UK company from the Companies House officers register — the register of directors, secretaries and LLP members — including corporate and nominee directors, with appointment and resignation dates, nationality, country of residence, occupation, month/year of birth and correspondence address. Use when: Identify who is legally responsible for a UK company - the directors on the Companies House officers register. Not for: You need beneficial owners / persons with significant control — use company.uk.owners. Price: USD 0.005/call (x402), 0.004 (account key).

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• company_uk_filings

  capabilities

  Return the filing history of a UK company from the Companies House register — accounts, confirmation statements, officer appointments, address and capital changes, resolutions and mortgages — most recent first, optionally filtered by category, with date, form type (AA, CS01, AP01, TM01), the readable register description, registrar annotations and a document_url for every filed image. Use when: What has this UK company filed recently? Not for: You need the current directors themselves rather than the filing events — use company.uk.directors. Price: USD 0.005/call (x402), 0.004 (account key).

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