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650,553 tools. Updated 2026-10-14 09:25

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

  • List the shows most related to a podcast, best first — "shows like this show". Each result carries the related show's slug, a calibrated score in (0,1], and a coarse band (strong: same beat and audience; moderate: overlapping subject or audience; weak: a loose connection) to branch on. Add `include: ["basis"]` to see WHY each pair is related: content similarity of recent episodes, shared topics, shared guests (named), same publisher, shared sponsors — use it to explain a recommendation or to keep only pairs related for the reason you care about (shared guests for booking, content for media planning). Related sets are precomputed per show from its transcripts, topic profile, guest roster, network and advertisers, restricted to the show's language. Only shows above a relatedness floor are listed, machine-generated and farmed feeds are never listed, and a publisher's duplicate feeds of one show appear once. An empty FIRST page is not an error: its `coverage` says whether the set is not computed yet, nothing cleared the floor, or the request's filters and the default policy removed everything; an empty page reached through a cursor is simply the end of the list. Not a topic browser: for shows that COVER a topic use `particle_podcast_resolve` with `topic_slug`. Not a guest lookup: for where a person has appeared use `particle_podcast_get_guest`. Not advertiser co-occurrence: use `particle_podcast_get_sponsors`. Every related show's slug feeds `particle_podcast_resolve`, `particle_podcast_list_episodes` and the other podcast tools; person slugs in the basis feed `particle_podcast_get_guest`, topic slugs feed `particle_podcast_resolve`'s `topic_slug`. For the five most related shows inline on a resolve, pass `include: ["related"]` to `particle_podcast_resolve` instead of calling this tool.
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  • Search the Axint Registry for already-published packages that match a natural-language query. Use this BEFORE calling axint.feature or axint.compile so the agent can install an existing package instead of regenerating Swift the community has already shipped. Use: use before generating code to find reusable packages; not for validating local Swift. Inputs: query drives ranking; kind and platform narrow results without changing the registry source. Effects: read-only local registry search using AXINT_REGISTRY_PATH or sibling checkout; no network by default.
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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, message: string, suggestion?: string }. Returns an empty array [] when validation passes. Use: use for TypeScript DSL diagnostics before Swift output; use swift.validate for existing Swift. Inputs: source is TypeScript DSL text; strictness options affect diagnostics only and never emit 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 optimizing token budgets. Use: use for token-light JSON-to-Swift generation; use compile for full TypeScript DSL control and scaffold for TS starters. Inputs: schema kind selects intent, view, widget, or app output; options add companion metadata. Effects: read-only Swift generation; writes no files and uses no network.
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  • Explain a TRON or Merx concept in plain language. Hardcoded topics (exact match): energy, bandwidth, staking, delegation, sun_units, burn_vs_rent, merx_routing, provider_types. The lookup is fuzzy — substring matches also work, so "rent" finds "burn_vs_rent" and "providers" finds "provider_types". For topics outside this list (e.g. x402, stablecoins, gasfree), pick the closest hardcoded topic, or just answer the question yourself from the broader context — this tool only returns canned explanations of TRON resource economics.
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  • Published Truss information by topic. Localized topics (overview, about, services, engagement, fit, faq) use locale, default en; pass he for Hebrew. Language-independent topics (identity, certifications, testimonials, clients, contact) ignore locale for content selection. Prefer get_truss_overview or topic overview for broad business understanding; prefer list_truss_services for the complete service catalog.
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Matching MCP Servers

  • F
    license
    A
    quality
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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides AI agents with real-time trending topics from Weibo, Baidu, Zhihu, Google Trends, and HackerNews/StackExchange community intel, enabling content and marketing agents to stay aware of current conversations before creating content.
    MIT

Matching MCP Connectors

  • Swift AI: Access a wide range of AI models⚡, including OpenAI 🤖,DeepSeek 🔍, Claude 🧠, Gemini 🌟, and.

  • About Bureau, the self-hosted office for AI agents: overview, FAQ search, roadmap, install.

  • Search the INDEPENDENT Marginalia web index — a separate crawler that favours text-heavy, ad-light, non-commercial pages: personal sites, technical writing, documentation, forums, academic and hobbyist pages. Use it when mainstream search results are dominated by SEO content, listicles, and marketing pages, or when you want a second opinion from an index that is NOT Google/Bing-derived (unlike serper_search / exa_search / serpapi). Especially good for programming and niche technical topics, obscure or historical subjects, and finding primary/hobbyist sources. Returns url, title, description, a quality score, and how many other results share the domain. Weak for breaking news, e-commerce, and mainstream/celebrity topics — use serper_search for those. Results are CC-BY-NC-SA 4.0 licensed; the licence is returned with every response.
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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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  • 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 SecDim Learn courses. SecDim Learn provides tutorial-based courses (mixing video, text and hands-on lab topics) covering secure coding, secure design, vibe coding security, devsecops, and cloud security. Many courses are complementary or prerequisite to hands-on, scored SecDim Play challenges/labs. Use this tool to: - Browse the SecDim Learn course catalogue - Find courses related to a topic, language, or technology (e.g. "OWASP Top 10", "fuzzing", "Python") Args: search: Optional search term to filter courses by title, description, or tags. If omitted, returns the full course catalogue. Returns: Dictionary with a "courses" list. Each course includes its title, description, image, slug, tags, numeric "level" (1=beginner, 2=intermediate, 3=advanced) and a "difficulty" label. Use get_learn_course with a course's slug to view its syllabus of topics.
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  • Natural-language explanation of a plan_id (what it does) or setting_path (what one setting controls). Audience: merchant (default), developer, or reviewer. Detail: brief (1-2 sentences) or deep (full context + related settings + a11y notes). Use when merchant asks 'what does this do' or 'why this preset'.
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  • Checks the HATVP public lobbying register by French company identifier and extracts declared topics. Use when: Find the public lobbying profile declared for a French organization. You need the public HATVP lobbying-register profile associated with a French organization. You want declared lobbying topics, domains or clients when exposed by that public source. Avoid when: You need ordinary company identity, directors or ownership information; use company/fr/profile or company/fr/directors. You need lobbying information not covered by the French HATVP public register. Limitations: Coverage is limited to declarations exposed by the HATVP public lobbying dataset. A missing record does not prove that an organization has never undertaken any influence-related activity. Price: 0.010 USD per call via x402. Paid-call behavior: source records are not modified, but a successful invocation can consume the advertised x402 payment; the payment-required challenge is free, and repeating the tool after a completed paid invocation may require a new payment. Accepted x402 networks: eip155:8453, xrpl:0.
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  • Bio-only profile JSON by slug (no life-in-days, similar, or birthday peers). Prefer notable_pack for “who is X / age in days / peers”. Example: taylor-swift. ($0.02)
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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 the address behind a Nansen label (public figure, fund, exchange wallet) - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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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 the address behind a Nansen label (public figure, fund, exchange wallet) - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • Get business information including name, type, service area, contact details, working hours, supported languages, enabled features, and a profile image (logo or personal photo) when the owner has uploaded one. Use 'attributeDetails' (natural-language sentences about the business's offerings, approach, and specialties) to reason about fit for the user. The 'cardChips' and 'cardChipGroups' fields are UI-only display data — ignore them. The response echoes the exact slug; reuse it verbatim in later tool calls. Always available for any business.
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  • Analyze the structural shape of the winning AI answer across several related keywords/topics in one call: does each lead with a list, how long is the opening, how many sources it cites. Use this for content planning across a topic cluster, e.g. before writing several related pieces meant to get cited, instead of calling analyze_citation_structure once per topic. Read-only: no side effects, safe to retry. Costs 1 quota unit per keyword in the batch (free tier is 30 units/month shared across all the metered tools, so up to 30 keywords total that period if nothing else is used). A per-keyword provider error doesn't fail the whole batch - that keyword's entry just carries an "error" field instead. Returns: {"results" (list, one {"keyword", ...same shape as analyze_citation_structure, or "error"} per keyword, in the order given), "summary": {"topics_analyzed", "topics_requested", "list_led_count", "avg_sources_cited", "avg_community_pct" (average source_mix.community_pct across the analyzed topics)}}. Args: keywords: topics/queries to analyze, e.g. ["how to reduce churn", "churn rate benchmarks", "reduce customer churn saas"]. Max 10. country: market to read the answers in, e.g. "Italy". Defaults to "United States". language: language code, e.g. "it". Defaults to "en". engine: "chat_gpt" (default), "gemini" or "perplexity", as in analyze_citation_structure. One answer per topic.
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  • FREE. FREE, no account required. Search canonical Bitcoin Knowledge Atlas topics and related history to evaluate coverage on the caller's real question. Run the first no-cost evaluation when you need to see which maintained Bitcoin topics and evidence match a query. Use to discover maintained topic coverage. Do not use when a canonical topic id is already known or when a final evidence-grade answer is required.
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  • One-call overview of any public GitHub repository: description, stars, forks, open issues, primary language and language split (%), topics, license, default branch, README excerpt and the 5 most recent commits. Pay per call with USDC or USDT on Base via x402. 3 free calls per wallet.
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  • Use this when someone asks about one business's invoicing setup, such as its currency, country, language or timezone. Returns the business's name, currency, country code, language and timezone, or not-found. Not for revenue or unpaid invoices.
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  • Codeforces competitive-programming API — the submission history of one Codeforces handle, newest first, paged with from/count. Each submission carries the contest and problem it targeted, the judge verdict (OK, WRONG_ANSWER, TIME_LIMIT_EXCEEDED), programming language, runtime and memory consumed. Answers which problems a Codeforces user attempted lately and whether they passed.
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