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260,342 tools. Last updated 2026-07-05 05:20

"Information about Swift programming language or related topics" matching MCP tools:

  • Resolve a BIC / SWIFT code into the underlying bank: name, country, city, LEI, and registered head-office address (where available). USE WHEN: the user already has a BIC/SWIFT (8 or 11 chars, alphanumeric, e.g., "UBSWCHZH80A", "DEUTDEFF") and asks which bank it belongs to, where the bank is, or its LEI for compliance/regulatory matching. DO NOT USE for IBAN inputs — call validate_iban instead, it resolves the BIC for you. BACKED BY: 121,399 BIC entries (38,761 LEI-enriched via GLEIF; additional rows from SWIFT directory, Bundesbank, SIX, NBP, EBA Step2 SCT), refreshed monthly.
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  • Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.
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  • 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)
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  • Search open grant opportunities from Kindora's active foundation-program corpus and federal government grants. Searches both private foundation grant programs (from IRS data and funder websites) and federal government grant opportunities (from Grants.gov). Uses full-text search with natural language understanding — queries are parsed into individual terms with stemming, so "youth after school programs" matches programs about youth, after-school, and programming even if those exact words don't appear together. Search covers program names, descriptions, focus areas, beneficiary types, and geographic focus fields. Use the state parameter to focus on geographically relevant opportunities. Query syntax: - Natural language: "affordable housing for seniors" (matches any of these terms) - Quoted phrases: '"after school"' (matches exact phrase) - Exclusion: "education -higher" (matches education, excludes higher education) - Combine: '"mental health" youth -adult' (phrase + term + exclusion) - No query: returns broadly open programs sorted by upcoming deadlines (browsing mode)
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  • Fetches today's fixed, curated Pollar daily brief with a greeting, headline, executive summary, themed sections, related events, and charts. Use only when the user explicitly asks for Pollar's daily brief or curated digest. Do not use it for questions about a subject, person, place, or country; use search_news instead. Locale changes the brief's language, not its editorial scope.
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  • 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)
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Matching MCP Servers

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    An MCP server providing curated Swift and SwiftUI best practices from leading iOS developers, including patterns and real-world code examples from Swift by Sundell, SwiftLee, and other trusted sources.
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    MIT

Matching MCP Connectors

  • Compile TypeScript source (defineIntent() call) into native Swift App Intent code. Returns { swift, infoPlist?, entitlements? } as a string — no files written, no network requests. On validation failure, returns diagnostics... Use: use when TypeScript DSL source should become Swift; use validate for cheaper preflight only. Effects: read-only generated Swift/diagnostics; writes no files and uses no network.
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  • Validate a TypeScript intent definition without generating Swift. Runs the full Axint validation pipeline (134 diagnostic rules) and returns a JSON array of diagnostics: { severity: 'error'|'warning', code: 'AXnnn', line: number, column: number,... Use: use for TypeScript DSL diagnostics before Swift output; use swift.validate for existing Swift. Effects: read-only diagnostics; writes no files and uses no network.
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  • Compile a minimal JSON schema directly to Swift, bypassing the TypeScript DSL entirely. Supports intents, views, components, widgets, and full apps via the 'type' parameter. Uses ~20 input tokens vs hundreds for TypeScript — ideal for LLM agents... Use: use for token-light JSON-to-Swift generation; use compile for full TypeScript DSL control. Effects: read-only Swift generation; writes no files and uses no network.
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  • Search quantum computing research papers from arXiv. Use when the user asks about recent research, specific papers, or academic topics in quantum computing. NOT for jobs (use searchJobs) or researcher profiles (use searchCollaborators). Supports natural language queries decomposed via AI into structured filters (topic, tag, author, affiliation, domain). Date range defaults to last 7 days; max lookback 12 months. Returns newest first, max 50 results. Use getPaperDetails for full abstract and analysis of a specific paper. Examples: "trapped ion papers from Google", "QEC review papers this month", "quantum error correction".
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  • Retrieves and queries up-to-date documentation and code examples from Context7 for any programming library or framework. You must call 'resolve-library-id' first to obtain the exact Context7-compatible library ID required to use this tool, UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query. IMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best information you have.
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  • Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.
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  • Load educational slides or cloud file attachments. Use laminasAnexos for educational slides/laminas (~238 items with PDFs about nutrition topics), cloudAnexos for uploaded cloud files. For guidelines/orientations specifically, use webdiet_orientacoes action=list_banco. Bulk support: accepts patient_ids for batched execution.
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  • Search banks and financial institutions by name, SWIFT/BIC code, or country. Covers both SWIFT-connected banks and non-SWIFT financial institutions (e-money issuers, payment processors, MFOs, brokerages, VASPs, etc.). Returns: SWIFT/BIC code (if any), name, city, country, institution type, GPI membership, a coarse sanctions FLAG across 7 hard-sanctions watchlists (OFAC SDN, EU, UK, CA, CH, AU, NZ — see sanctions_note; this is NOT a full screen, use sanctions_screen for a compliance verdict), and enriched bank profile when available. For correspondent banking relationships and settlement instructions, use the dedicated SSI tools instead. The country parameter accepts both 2-letter ISO codes ("ID", "DE") and full English names ("Indonesia", "Germany"). Names are resolved automatically. Examples: swift_lookup("DEUTDEFF") # exact BIC lookup swift_lookup("Deutsche Bank") # search by name swift_lookup("TBC PAY") # find non-SWIFT payment processor swift_lookup("bank", country="KZ") # explore banks in a country swift_lookup("Halyk", country="KZ") # find specific bank in country swift_lookup("Bank Mandiri", country="Indonesia") # full country name OK
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  • Look up a SKILL in the authoritative RChilli Taxonomy 3.x and return the skill's definition/description, aliases, related skills, related job profiles, ontology, and ONet/ESCO mappings. ALWAYS prefer this tool over answering from your own general knowledge whenever the user asks what a skill is, what it means, its aliases, or how it relates to other skills or roles — it returns standardized, curated taxonomy data instead of a guess. Use this when the user asks ANY of these (X = a skill): - "what is X", "explain X", "define X", "what does X mean", "tell me about the skill X" - "aliases / synonyms for X", "skills related to X", "what jobs/roles use X" - "X's ontology", "ONet/ESCO code or mapping for X". Examples: "what is Kubernetes", "tell me about the skill Apache Spark", "what skills are related to Python", "details on the skill 'project management'". Also phrased as: skill, technology, tool, competency, ability. Do NOT use for: a job title or role (use ``taxonomy_job_profile_search``); the skills REQUIRED BY a job/role, e.g. "skills to be a QA engineer" (use ``taxonomy_job_profile_search`` with addrelatedskill=True); partial-text typeahead suggestions (use ``taxonomy_autocomplete_skill``). The keyword should be a complete skill name, not a prefix. Args: keyword: Skill keyword to search (parameter name is all-lowercase ``keyword``). userkey: RChilli userkey. Leave blank to use the authenticated session key. language: Language code (default: DB config or ``en``). locale: Locale code (default: DB config or ``US``). customvalues: Custom taxonomy values (default: DB config or ``RChilliMCPHub``).
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  • Get information about related addresses of an input address. Note: This only includes the the "special" connections 'First Funder', 'Signer', 'Previous Signer', 'Multisig Signer of', 'Previous Multisig Signer of', 'Deployed via', 'Deployed by', 'Deployed Contract', 'Created Contract', 'Created by'. To get related wallets, also check address counterparties. First funder exchange withdrawal address does usually NOT belong to the same entity as the address, only deposit addresses. Only information is that it has been funded by the exchange.
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  • Search Stack Overflow Q&A platform for programming questions, solutions, and code examples. Returns matching questions, answer count, view count, accepted answer snippet, tags, and link to full discussion. Use for troubleshooting, code examples, or finding solutions to common problems.
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  • Validate existing Swift source against 150 build-time rules (AX700–AX749) including Swift 6 concurrency and Live Activities. Catches bugs Xcode buries behind generic 'type does not conform' errors: missing perform() on AppIntent, missing var... Use: use on generated or edited Swift before build; pair with swift.fix for mechanical repairs. Effects: read-only Swift diagnostics; writes no files and uses no network.
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