"Cloud Computing and Related Topics" matching MCP tools:

• analyze_citation_structure_batchA

  VantageA

  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.

  ConnectorAPI key

• searchPapersA

  qubitsok — Quantum Computing Jobs, Papers & ResearchersA

  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".

  ConnectorNo auth

• particle_podcast_list_relatedA

  particle-proA

  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.

  ConnectorOAuth

• list_dataset_idsA

  Google Big QueryA

  List BigQuery dataset IDs and BigLake namespaces in a Google Cloud project. Supports pagination. Use `page_size` to limit results and `page_token` to retrieve next page.

  ConnectorNo auth

• searchJobsA

  qubitsok — Quantum Computing Jobs, Papers & ResearchersA

  Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".

  ConnectorNo auth

• search_api_referenceA

  docs-mcpA

  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.

  ConnectorOAuth

• govcon_fetch_open_solicitationsA

  DataNexus MCPA

  Fetch currently open government contract solicitations matching a keyword. Read-only. No side effects. Idempotent. keyword: Description of goods or services sought e.g. cloud computing services. Required. Encode special characters — + becomes %2B. agency: Awarding agency name. Optional, defaults to all agencies. jurisdiction: One of US, EU, or UK. Optional. Default US. Returns solicitation title, agency, response deadline, estimated value, and NAICS code. Use this when looking for active bid opportunities. Use govcon_search_contract_awards instead when you need historical awards not open solicitations. Verified source: SAM.gov + USASpending.gov. 4-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="govcon_fetch_open_solicitations", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

  ConnectorNo auth

• related_topicsA

  Web Search & Data APIA

  Google Trends related topics for a keyword. Returns the topics and named entities associated with a keyword in a given country, as top topics scored 0-100 relative to each other and rising topics with percentage growth, each carrying its entity type. Google Trends topic discovery for market research and content planning. [$0.03/call]. Params — keyword: the search term; geo: ISO-3166 alpha-2 country code, e.g. US, GB, DE, JP (213 countries supported); timeframe: time window. Each response reports its own bucket size in `granularity`: past_30_days and past_90_days return a daily series, past_12_months and past_5_years weekly, windows under a day hourly (2004_present|past_12_months|past_30_days|past_4_hours|past_5_years|past_7_days|past_90_days|past_day|past_hour) Example params: {'keyword': 'bitcoin', 'geo': 'US'}

  ConnectorNo auth

• get_platform_statsA

  GlobalGov — Government Procurement IntelligenceA

  Canonical GlobalGov coverage numbers: total and open solicitation counts, countries covered, source systems, languages, vendor counts. Pre-computed nightly and served from cache; if the cache is cold the tool returns a retryable 'computing' error and the refresh is dispatched automatically. No arguments.

  ConnectorNo auth

• getMarketOverviewA

  qubitsok — Quantum Computing Jobs, Papers & ResearchersA

  Get a snapshot of the quantum computing landscape — no parameters needed. Use when the user asks broad questions like "how's the quantum job market?", "what are trending topics?", or wants an overview of the quantum computing industry. Returns: total active jobs, top hiring companies, jobs by role type, papers published this week, total researchers tracked, and trending technology tags. For specific job/paper/researcher searches, use the dedicated search tools instead.

  ConnectorNo auth

• rating_get_sheetA

  website-searchA

  Get Lenny Zeltser's cybersecurity-writing rating sheet(s) so your AI can apply the rubric. Returns the structured rubric (groups, items, scoring bands) WITHOUT computing a score. Use `rating_score_writing` if you also want a numeric score, gap analysis, or rubric-anchored feedback. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.

  ConnectorNo auth

• check_local_viabilityA

  Local Model Suitability MCPA

  Checks whether a task can be handled by a local model instead of a cloud API. Call this BEFORE your agent routes any task to a cloud model — at the moment a task is ready to be sent and the model has not yet been selected. Use this when your agent is about to make a cloud inference call and wants to determine whether a local model could handle it at lower cost. Returns LOCAL/CLOUD/EITHER verdict with recommended model. If verdict is LOCAL, skip the cloud call entirely — saves cost on every routable inference call. Pass data_sensitivity=CONFIDENTIAL to force LOCAL verdict for tasks that must not leave the machine. Do not route to cloud without checking local viability first.

  ConnectorNo auth

• research_bulkA

  trendflowA

  Researches up to 10 topics in a single call, each with the same full picture as `research_trend`: interest over time, where it is most searched, and related queries. Each topic is looked up on its own scale, so they are not comparable to one another. Use this when you need data across many topics — a long or rich research pass — instead of one tool call per topic. Each section is fetched independently, so a partial result is normal: any section that fails carries an `error` instead of data and the rest still returns.

  ConnectorNo auth

• searchA

  Payments Law EUA

  Use this to find EU payments legislation on topics such as SCA, open banking and safeguarding in the held PSD2, RTS-SCA, PSD3/PSR and related instruments. OpenAI-compatible search: the top hits as {id, title, url}, where id is the cite anchor fetch accepts. For filters, snippets, scores and paging use search_legislation, which returns more.

  ConnectorNo auth

• fetch_latest_syntaxA

  Titan Frameworks (LangChain, LlamaIndex, Ollama, XRPL)A

  Curated working imports, snippets, and migration notes for one topic (agents, rag, wallet, payment, trustlines, …). Use when writing or migrating a fragment; unknown topics fall back to related doc chunks instead of failing. Prefer fetch_working_example for a complete runnable file, search_ai_framework_docs for open-ended lookup, and diagnose_framework_error for exceptions. Paid tools/call: $0.001 USDC or 1000 drops XRP; read-only catalog.

  ConnectorNo auth

• bulk_replace_user_preferencesA

  CourierB

  Replace a user's complete set of preference overrides in one request. The topics in the body become the recipient's entire override set: listed topics are created or updated, and every existing override not included is reset to its topic default. An empty `topics` array clears all overrides. Validation-atomic (all-or-nothing).

  Connector

  Destructive

  No auth

• explainA

  chpB

  Learn what CHP is and how it works. Pass a topic, or omit to list topics. Topics: what-is-chp, evidence-model, why-a-protocol, governance, agentic-web, evidence-vs-telemetry, chp-vs-mcp, conformance.

  ConnectorNo auth

• search_learn_coursesA

  mcpA

  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.

  ConnectorNo auth

• crossload_topic_statsA

  CrossloadA

  Returns counts only, never the items themselves: for the items use crossload_search. Given one topic name, it counts the whole topic server-side and reports how it is distributed over bible books and chapters, authors, series, years, licences, categories, media and duration, plus the topics that co-occur on the same items. Use it to answer 'which passages/authors/years does this topic span', to find related topics by evidence rather than by guess, and before writing anything that sums up a topic: counting by hand means paging through every hit. The topic name must match crossload_browse exactly; a guessed spelling is rejected and nothing is counted. 'withoutBibleRef' says how many items carry no passage at all, which is the caveat to every statement about the passages of a topic. Each distribution lists the most frequent entries only, and says so when it leaves something out.

  ConnectorNo auth

• ic_spatial_beta_programA

  Immersive CommonsA

  Everything needed to apply to the Immersive Commons spatial-computing beta: the terms (50 testers, 5 weeks, $160 paid ON COMPLETION, in person at Frontier Tower San Francisco, strict NDA, a pre-release AI spatial-computing device 6-12 months from release), every application question, and the REASON each is asked. Call this BEFORE ic_spatial_beta_apply so you answer well instead of guessing. `gates` names the three booleans that decide most applications - the NDA, the 5-week commitment, and being able to attend in person; a no to any of them is very likely a rejection, and saying so honestly beats applying anyway. Args: none. Returns: { ok, form, cohort: { size, approved, remaining } }. No auth required.

  ConnectorNo auth

• get_topic_detailsA

  flevyA

  An end-to-end overview of one management topic: its definition, an in-depth explanation of the discipline, the 3 editor-curated top documents, all known aliases, document and case study counts, related topics, and the topic page URL. Use this to survey a discipline before going deep — e.g. "what does Digital Transformation cover and what are its key frameworks" — or to orient when the user describes a broad problem area. Follow with search_content (topic filter) for the full catalog.

  ConnectorNo auth