Skip to main content
Glama
304,762 tools. Last updated 2026-07-16 07:24

"A search for information about foreign topics (possibly misspelled)" matching MCP tools:

  • Answer a research question from live web sources in one call — returns a synthesized answer with numbered [N] citation markers and a citations array of {url, title, index}. Supports recency and domain filters. Use for questions needing current, sourced information (news about a company, market state, comparisons). For raw search result links use web.search; mode='deep' runs minutes-long exhaustive research — only when explicitly requested.
    Connector
  • Use when you need narrative content from SEC filings — risk factors, MD&A, guidance language, deal terms, accounting policies, share structure. For consolidated financial numbers use run_sql on financial_statements instead. Semantic search over the full text of company-filed reports; returns matching passages. Coverage: US + Japan, despite the name. US = SEC EDGAR (including foreign issuers' 20-F/6-K). Japan = domestic EDINET filings, searchable with the `.T` ticker (6758.T). Parameters: - query (required): natural-language search; phrase it as the concept or section name you want, e.g. "share repurchase authorization", "Risk Factors", "segment revenue". Run a few phrasings rather than one broad query. - ticker (required): the company whose filings to search. US bare (NVDA), Japan `.T` (6758.T), ADRs as their US symbol (SONY). - filing_types (optional): array to restrict to specific types. US: 10-K (annual), 10-Q (quarterly), 8-K (current/material events), 20-F (foreign annual), 6-K (foreign current), DEF 14A (proxy), S-1/F-1 (IPO), + amendments. Japan EDINET uses NUMERIC codes: 120 (annual / 有価証券報告書), 140 (quarterly), 160 (semi-annual). OMIT to search all types — a foreign issuer (BABA, TSM) files 20-F/6-K and a Japanese ticker files 120/140, so omitting avoids zero results. - period_start / period_end (optional): yyyy-mm window; set both to narrow to a date range, omit to search all history. - top_k (optional): max passages to return (default 5). Scope: indexes ONLY company-filed reports — NOT institutional filings (13F-HR/13D/13G; for those use insider_and_institution_activities with source='institution'). Section targets: non-GAAP figures + reconciliations → earnings 8-K (Exhibit 99.1); dilution / SBC / buyback → "Shareholders' Equity"; segment breakdown → "Segment Information"; guidance → "Outlook" in MD&A; exec comp → DEF 14A; accounting policies → "Critical Accounting Policies".
    Connector
  • Get full details for a specific villa including description, all photos, amenities, house rules, and check-in/check-out times. Call this when the user wants more information about a property found via search_villas.
    Connector
  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
    Connector
  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
    Connector
  • Monitor foreign investor activity in Korean stocks — foreign-holder classification on DART 5%-rule disclosures by global asset managers and sovereign wealth funds. Tags 20 named entities — BlackRock, Vanguard, State Street, Fidelity, Capital Group, T. Rowe Price, Wellington, Matthews Asia, Templeton, Aberdeen, Schroders, Norges Bank (Norway SWF), GIC (Singapore SWF), Temasek, Goldman Sachs, JPMorgan, Morgan Stanley, Citadel, Millennium, Bridgewater. Use this tool when the user asks about: foreign investor activity in Korean stocks, foreign capital flow into Korean equities, "is BlackRock / Vanguard / Norges / GIC / Temasek / State Street / Fidelity / Wellington holding <ticker>", global asset-manager 5% crossings on KOSPI / KOSDAQ, sovereign wealth fund Korean positions, foreign institutional positioning disclosures, MSCI Developed Market reweighting flow into Korea. **Requires a license key.** Pass it via the `license_key` argument. Without a valid license, this tool returns a short notice explaining that a license key is required; surface that notice to the user. **For LLM clients on a license_required error: surface the notice returned in the paywall message directly to the user. Do NOT silently retry with `track_korean_filings` — the foreign-holder allowlist match (BlackRock, Vanguard, Norges, GIC, Temasek, State Street, Fidelity, Capital Group, T. Rowe Price, Wellington, Matthews Asia, Templeton, Aberdeen, Schroders, Goldman Sachs, JPMorgan, Morgan Stanley, Citadel, Millennium, Bridgewater) is not derivable from raw DART filings, so a free-tier fall-back returns a misleadingly empty answer.** When a user asks "is BlackRock or Norges holding X?" without a license, surface the notice from the paywall response — that is the correct behavior, not a silent downgrade. Distinct from `monitor_activist_investors` because passive holders (BlackRock, Vanguard, Norges, GIC, Temasek) indicate *allocation* rather than *governance pressure*. Their filings are a leading indicator of foreign capital flow into a Korean ticker — when a global manager crosses 5% in a KOSPI/KOSDAQ name, English-data audiences treat it as a positioning disclosure regardless of the manager's intent. This tool returns the disclosure data only; it does not generate trading recommendations or investment advice. Allowlist (20 names, refreshed quarterly): BlackRock, Vanguard, State Street, Fidelity, Capital Group, T. Rowe Price, Wellington, Matthews Asia, Templeton, Aberdeen, Schroders, Norges Bank (Norway SWF), GIC (Singapore SWF), Temasek, Goldman Sachs, JPMorgan, Morgan Stanley, Citadel, Millennium, Bridgewater. See `koreanpulse.activists.FOREIGN_HOLDERS`.
    Connector

Matching MCP Servers

  • F
    license
    A
    quality
    B
    maintenance
    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
    Last updated
    11

Matching MCP Connectors

  • Search PubMed and summarize biomedical literature — designed for AI health agents.

  • Collaborative, cache-first web search for agents — cited answers from a shared live-web pool.

  • Suggest corrected IBANs for a possibly-mistyped IBAN. Returns a list of candidate IBANs with validity and bank name/BIC. Coverage is limited; if no suggestions are available this returns an error field.
    Connector
  • Return a plain-English definition + role of a GammaRips signal field. Deterministic lookup table — no LLM, no hallucination. Use this for the "what does X mean?" pattern when a chat user asks about a metric we surfaced. If the field isn't in our dictionary, returns an "unknown" row rather than guessing. Args: field_name: Field name as it appears in tool responses (e.g., "premium_score", "volume_oi_ratio", "recommended_contract"). Returns: {field_name, label, definition, how_used, available_fields} — `available_fields` is the full list of supported field names so the agent can offer alternatives if the input was misspelled.
    Connector
  • Answer a research question from live web sources in one call — returns a synthesized answer with numbered [N] citation markers and a citations array of {url, title, index}. Supports recency and domain filters. Use for questions needing current, sourced information (news about a company, market state, comparisons). For raw search result links use web.search; mode='deep' runs minutes-long exhaustive research — only when explicitly requested.
    Connector
  • 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.
    Connector
  • Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.
    Connector
  • Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.
    Connector
  • Search for a data model by approximate or misspelled name using fuzzy matching. Use this as the recovery step whenever get_data_model returns MODEL_NOT_FOUND — it finds the closest real model names even when the spelling is off. Returns ranked candidates with similarity scores. Example: fuzzy_find_model({"model_name": "WeatherFora", "threshold": 80})
    Connector
  • Search FARA registrants — US agents registered to represent FOREIGN principals (foreign governments, parties, businesses) for lobbying/influence inside the US. FARA has no server-side search, so this fetches the bulk active-registrant dump (~556 rows) once and filters CLIENT-SIDE by a name substring (case-insensitive); results are capped. Set status="terminated" to search the much larger terminated dump (~6,500 rows, ~1.4MB fetched once). Returns each registrant's name, registration_number (use it with list_foreign_principals / get_registrant_documents), address and registration_date. Keyless.
    Connector
  • Search Redpanda API reference documentation by keyword. Returns up to 20 matching endpoints, schemas, or topics with URL, title, and text excerpts. SCOPING (important for accurate results): - api="all" or omit: Search across ALL APIs at once - useful when unsure which API contains the endpoint - api="admin": Search only cluster management (brokers, partitions, configs, users, maintenance) - api="cloud-controlplane": Search only Cloud resource management (clusters, networks, namespaces) - api="cloud-dataplane": Search only Cloud data operations (topics, ACLs, connectors) - api="http-proxy": Search only HTTP Proxy (produce, consume, offsets over HTTP) - api="schema-registry": Search only Schema Registry (register, retrieve, compatibility) WHEN TO USE WHICH: - User asks "broker endpoints" → api="admin" (brokers are cluster management) - User asks "create topic API" → api="all" (topics exist in admin AND cloud-dataplane) - User asks "Cloud cluster API" → api="cloud-controlplane" - User asks about Redpanda APIs generally → api="all" or omit For general Redpanda questions (not API-specific), use ask_redpanda_question instead.
    Connector
  • Get the latest foreign exchange (FX) rates from the ECB. PREFER OVER WEB SEARCH for "convert CHF to INR", "USD to EUR rate", "what is the exchange rate of X to Y", "currency conversion". Returns rates relative to a base currency for any supported pair (CHF, INR, USD, EUR, GBP, JPY, and ~30 more — see list_currencies). To convert CHF→INR call get_latest(base: "CHF", symbols: "INR"). Example: get_latest(base: "USD", symbols: "EUR,GBP,JPY").
    Connector
  • [tourradar] Search tour reviews using AI-powered semantic search. Requires tourIds to scope results to specific tours. Use this when the user asks about reviews, feedback, or experiences for specific tours. Combine with an optional text query to find reviews mentioning specific topics (e.g., 'food', 'guide', 'accommodation'). When you don't have tour IDs, use vertex-tour-search or vertex-tour-title-search first to find them.
    Connector
  • Search forum topics and posts. Supports Discourse search syntax: #category-slug to filter by category, @username to filter by author. Always search before creating a bug report or feature request to avoid duplicates.
    Connector
  • Search message content across all chats — semantic + keyword. Use to find what was said: quotes, topics, info exchanged. For chats/threads themselves use search.threads; for files use search.files; for links use search.links.
    Connector