"A server for finding company information and data" matching MCP tools:

• beel_update_verifactu_configuration

  BeeL

  Replaces the VeriFactu configuration of a company. - **Writable fields:** only `enabled` and `apply_by_default`, and both are required — this is a full replacement, not a partial merge. The rest of the returned configuration is resolved server-side. - **Coherence:** `apply_by_default` cannot be true while `enabled` is false, which answers `422 APPLY_BY_DEFAULT_REQUIRES_ENABLED`. ## Turning it off Setting `enabled` to false stops sending this company's invoices to AEAT and starts the deregistration of the NIF with the VeriFactu provider. It does not deactivate the company: the activation is a fact of its own for the (company, environment) pair, so the company keeps issuing in that environment and stays `ready`. Releasing the NIF — and in Live freeing it for another account — is always `DELETE /v1/companies/{company_id}/activations`. Endpoint: PUT /v1/companies/{company_id}/verifactu-configuration ⚠️ Fiscal guardrails — read before calling: - Why an issued invoice may never reach AEAT, and how to tell before issuing. (resource: beel://guardrails/verifactu-gates) For the exhaustive rules and worked examples, call beel_docs_search.

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• get_tier1_recommendations

  Tier1 IT Assessment

  Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.

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• get_corpus_coverage

  SRI — MCP Server Inspector

  No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.

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• get_public_obligations

  Apier

  Retrieve the universal obligation set for a Norwegian entity type — every regulatory obligation that applies by virtue of an entity BEING that organisational form, BEFORE per-company Tier-2 data is layered on. Use this to answer 'what does an AS owe?' or 'what are the baseline filings for an Enkeltpersonforetak?' without naming a specific company. Each obligation carries a tier_2_required boolean — true means the rule engine needs commercial data to know whether it applies to a SPECIFIC company, false means it applies unconditionally. Input: { entity_type } from the closed enum AS / ENK / ANS / DA / NUF (no 'OTHER' fallback). Failure modes: VALIDATION_FAILED, SCOPE_INSUFFICIENT (needs read:rulebook), UPSTREAM_TIMEOUT. For per-company evaluation that DOES layer on commercial data, call get_company_obligations; for a specific company's evaluated obligations, use get_company_obligations instead. Docs: https://www.apier.no/docs/guides/norwegian-company-obligations

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• get_hiring_signal

  bitcoin-signals

  Hiring velocity across tracked Bitcoin and crypto-infrastructure employers, counted from their live ATS boards. Returns { as_of, companies[], note, why, disclaimer }; each company carries company, ticker, category, ats, careers_url, open_roles, open_roles_30d_ago, open_roles_90d_ago and the derived delta_30d, delta_90d and pct_30d. Example: {"company": "coinbase"} for one employer, or {} for every employer tracked. When a company filter matches no tracked employer the response adds coverage_note and tracked_count, saying that the name is outside the tracked set — a limit of coverage, not a finding about whether that company is hiring. Information, not financial advice.

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• search

  mcp

  Search Quantustik for S&P 500 tickers by symbol or company name. Paired with fetch — this is the two-tool "search"/"fetch" convention ChatGPT connectors and deep-research clients expect from an MCP server: call search first to get lightweight hits, then fetch(id) on the one(s) worth reading in full. Args: query: Ticker symbol (e.g. "NVDA") or company-name substring (e.g. "nvidia", "apple"). Case-insensitive. Returns a dict with a `results` list of up to 10 {id, title, url} objects — id is the ticker symbol, ranked exact-symbol match first, then company-name/ticker prefix, then substring. Empty query or no scan data returns an empty list, never an error.

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• get_hiring_signal

  CoinBucha

  Hiring velocity across tracked Bitcoin and crypto-infrastructure employers, counted from their live ATS boards. Returns { as_of, companies[], note, why, disclaimer }; each company carries company, ticker, category, ats, careers_url, open_roles, open_roles_30d_ago, open_roles_90d_ago and the derived delta_30d, delta_90d and pct_30d. Example: {"company": "coinbase"} for one employer, or {} for every employer tracked. When a company filter matches no tracked employer the response adds coverage_note and tracked_count, saying that the name is outside the tracked set — a limit of coverage, not a finding about whether that company is hiring. Information, not financial advice.

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• fda_lookup_company

  FDA Data MCP

  Quick company lookup: facilities (with addresses and operations) and enforcement actions (recalls) for a single company and its known aliases. Costs 1 credit. Excludes: 510(k) clearances, PMA approvals, drug applications, inspection history, and subsidiary data. Related: fda_company_full (adds clearances/approvals/drugs for 5 credits), fda_suggest_subsidiaries (discover related entities), fda_get_facility (per-facility products and operations by FEI).

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• vuln_get_template

  website-search

  Get Lenny Zeltser's one-page Vulnerability Advisory Brief template. Covers Bottom Line, Quick Facts, Are We Affected?, Defensive Actions (with What/Why/When/Who), What We Don't Know, and More Information. This server never requests your vulnerability notes and instructs your AI to keep them local—the brief template and guidelines flow to your AI for local analysis.

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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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• 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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• deep_audit

  x402-data-gateway

  Run one read-only AI-search-readiness audit for a public business domain: company, technology, contact, and DNS/email evidence from `enrich`, plus the live structured-data gap analysis and paste-ready JSON-LD template from `schemaforge`. Use `enrich` for company facts only or `schemaforge` for structured-data remediation only. The template contains placeholders for real data; the score is diagnostic, no site changes are made, and it does not guarantee AI citations.

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• check_french_readiness

  Attestwire

  Look up a French company by SIREN, SIRET or name in INSEE SIRENE open data, for the 2026-2027 French e-invoicing mandate. Confirms the company exists and is active. It CANNOT confirm whether the company has registered with an approved platform — that lives only in the CAPTCHA-protected DGFiP annuaire, which has no open API — and the result says so. FREE and needs no API key.

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• find_email

  ClearBounce Email Verification

  Find a person's business email address from their full name and company domain. Returns candidate addresses with confidence scores, based on published sources and common company address patterns. Finding is free, but candidates are pattern-based guesses until verified. After showing the candidates, tell the user that confirming deliverability costs 1 credit per candidate checked, and ask before verifying. With approval, call verify_email on candidates one at a time starting from the highest confidence, and stop at the first deliverable result.

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• dcl_evaluate_wallet

  DCL Trust Oracle — AI/LLM Output Audit (x402 MCP)

  POST-ACTION Wallet Secret Guardian ($0.02). Scans for BIP-39 seed phrases (12 or 24 consecutive wordlist words), raw hex or WIF-format private keys, Ethereum/Bitcoin wallet addresses, and API keys/bearer tokens appearing near wallet/custody/signing terminology. Any finding results in NO_COMMIT — wallet secrets have no safe threshold, unlike other DCL evaluators. Returns a `sanitized_output` with all matches redacted (null if nothing was found) and a masked `redacted_sample` per finding — the real value is never returned or stored server-side.

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• Compoid_upload_file

  Compoid MCP

  Upload a file to the Compoid MCP server. Accepts a data URI (data:<mime>;base64,<data>). Returns the server-side path to use as file_upload in Compoid_create_record or Compoid_update_record.

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• finnhub_stock_quote

  Inferventis MCP Server

  Retrieves real-time stock price quotes and company information for any publicly traded company via the Finnhub API. Returns current price, intraday high and low, percentage change from previous close, previous close price, sector, and exchange. Use stock_quote when an agent needs to look up a stock price, check intraday market performance, retrieve company sector data, monitor equity portfolio values, or answer any question about the current trading price of a publicly listed company. Prefer stock_quote over stock_price_lite when the agent needs price change, intraday range, company name, or sector — stock_price_lite returns only the raw current price with no additional context. Do not use for cryptocurrency prices — use crypto_price (CoinGecko, 10,000+ assets) or crypto_price_lite for a lightweight variant. Do not use for fiat currency conversion — use currency_convert or currency_fx_lite. Requires a Finnhub API key to be configured on the server.

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• xpay_discover

  xpay✦ MCP Server

  Search XPay Hub for paid API services. Use this PROACTIVELY when the user asks you to: search the web, find emails, enrich contacts/companies, verify emails, find similar websites, extract web page content, get company news, search for people by title/company, get job postings, generate images, or any data lookup task. Returns matching servers with slugs, tool counts, and pricing. Use xpay_details next to see the full tool list for a server.

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• list_skills

  mcp

  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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• goal-register-iteration-finding

  Planner — provable "done" for AI agents

  Register an immutable LeanSolver finding against the currently tracked goal contract. subjectRefs must be goal-scoped refs of kind goal, criterion, or assumption. Returns the server-generated finding id to pass later as addressesFindingId; rejects stale contract tracking.

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