"A platform utilizing perplexity concepts for information retrieval" matching MCP tools:

• ask_redpanda_questionA

  docs-mcpA

  Search the official Redpanda documentation and return the most relevant sections from it for a user query. Each returned section includes the url and its actual content in markdown. Use this tool for all queries that require Redpanda knowledge. Results are ordered by relevance, with the most relevant result returned first. If you know the user's deployment platform, pass "platform" so results from the other platform's docs are excluded. Note that "platform" filters the sections already retrieved rather than re-running the search, so it can return substantially fewer sections: on a broker-level question where most matches come from the other platform's docs, it can cut a 15-section response to 1 or 2. Omit "platform" if you would rather have more context and judge platform relevance yourself from each section's url. If you know which Redpanda version the user runs, pass "version" (use 'current' for the latest release; its release number is also accepted). Unlike "platform", "version" is applied during retrieval, so it does not shrink the result set: it stops the same page being returned once per indexed version, which is otherwise most of the response. Version-neutral docs (Cloud, Connect, Agentic Data Plane, API reference) are always included. Omitting "version" searches the latest release.

  ConnectorNo auth

• get_sc_theoryA

  SCModelingA

  Reference guide to supply-chain simulation concepts: ordering policies, BOM, FDD formulas, event-driven simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does this work' question rather than asking for a number.

  ConnectorNo auth

• call_creative_worldsA

  HeistaA

  Heista's creative direction engine — same engine the Creative Director specialist runs internally, exposed over MCP. ONE-SHOT: give a brief, get N finished creative outputs. For back-and-forth refinement, or output shapes the `medium` enum below does not cover, use chat_with_creative_worlds instead. OUTPUT SHAPE switches on the `medium` arg: • omitted → N territory cards (default exploration). Each card sits on different psychology / craft / feel / world axis coordinates so the set spans the creative space rather than orbiting one insight. Card has: name, campaign line, 5-8 sentence pitch, one-sentence strategic bet, resolved axis state names, creative-director rationale. • `tvc` → N TVC scripts (15-90s — hook, arc, resolve, sound design, end line). • `billboard` / `ooh` / `print` → N out-of-home concepts (visual concept + line + placement rationale). • `social` → N social-video concepts (hook + format type + middle beat + payoff, optimised for Reels / TikTok / Shorts). • `activation` / `experiential` → N activation concepts (space design + user journey + peak moment + takeaway artifact). • `audio` → N sonic / radio concepts (sonic scene + voice + audio arc). • `campaign` → N full campaign platforms (insight → big idea → strategy → visual world → production roadmap). The engine can also produce manifesto / copy, naming, packaging, PR stunts, content series, brand positioning, partnerships — these output shapes are NOT in the medium enum, so use chat_with_creative_worlds when the user wants one of those. USE WHEN: user says "give me ideas / options / directions / territories", "what angles work for...", "show me three / five ways to...", "write a TVC for...", "draft billboard concepts for...", "I need fresh thinking on...". DO NOT USE to refine one existing direction (use chat tool), to critique work, for OKRs / internal docs / strategy decks, or anything outside advertising creative direction. INPUTS: brief (the creative problem, free text), count (2-6 concepts), optional brand_id (from list_brands or any create_powersource_* — when provided the engine grounds output in the brand's buyer tensions, voice, and selling points), optional medium (above), optional lens_hint (apply a playbook or signature move as a creative constraint), idempotency_key (safely retryable for 5 minutes). Returns the finished creative output as narrative text PLUS a structured array of resolved axis coordinates for programmatic use. Metered — typically 3-15 credits per call depending on count and brand context size. Charged after success on actual token usage.

  ConnectorNo auth

• get_creatorA

  InflushipA

  Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.

  ConnectorNo auth

• get_creatorA

  Influship Influencer Marketing MCPA

  Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.

  ConnectorNo auth

• get_memoriesA

  Dayze — Life ContextC

  Authenticated user memories from Dayze Agent. Pass query for semantic/keyword retrieval. Prefer search for event-first trip and calendar titles. Requires OAuth or a supported scoped credential. ($0.10; API key required)

  ConnectorNo auth

• get_tech_stackA

  Makuri Showcase (CogniLedger)A

  Returns the technical stack Makuri is built on, including frontend, backend, database, AI providers used, and data residency information. Use when the user asks how Makuri is built or which AI models it uses. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.

  ConnectorNo auth

• search_communityA

  HeistaA

  Community-discourse search via parallel.ai with optional platform filtering. Returns synthesized text excerpts plus direct URLs to real Reddit threads, X posts from named operators, Substack essays, LinkedIn posts, Facebook posts. Use for: "what are practitioners saying about X", recurring themes in founder voice, multi-platform discourse mapping, verbatim quotes from named individuals. Per Phase 3.5 empirical A/B (Docs/solutions/architecture-decisions/search-backend-architecture-jun04.md): this tool SOLVES the Reddit/X retrieval gap that perplexity_search fundamentally couldn't fill. Optional platforms[] to restrict (e.g. ["reddit","x","substack"]). Per social-listening-synthesis §3 sample ≥3 platforms per brief.

  ConnectorNo auth

• wait_for_taskA

  Agent RouterC

  Wait for a platform agent task to complete and return its result. Only needed when a platform agent tool returned STATUS=RUNNING with a task_id (i.e. the task was still running after the initial 50s inline wait). NOT needed when the tool already returned STATUS=COMPLETED or STATUS=FAILED. NOT needed for a2a_call_agent — that always returns directly. Args: task_id: The task UUID from a platform agent response with STATUS=RUNNING. max_wait_seconds: Max seconds to wait (default 45, max 300).

  ConnectorNo auth

• seo_audit_aeoA

  mcp-seoA

  Audits content for Answer Engine Optimization (AEO): Evaluates concise 40-60 word direct answer definition blocks, question-based H2/H3 subheadings (What/How/Why), FAQ schema alignment, and citation readiness for Google AI Overviews and Perplexity. USAGE GUIDELINES: - Use when optimizing content to win conversational AI search citations, direct answers, and Perplexity summaries. - Do NOT use for brand knowledge-graph entity reconciliation; use 'seo_audit_geo' instead. - Do NOT use for standard on-page metadata; use 'seo_audit_onpage' instead. BEHAVIORAL TRANSPARENCY: - Safe, read-only diagnostic evaluation. No file modifications.

  ConnectorNo auth

• get_field_orientationA

  Scholar FeedA

  Returns CANDIDATE FOUNDATIONAL PAPERS for a research topic — cheap retrieval only, no synthesis. Ranks papers by a blend of citation count (0.6 weight, captures importance) and semantic similarity to your topic (0.4 weight). Use this to bootstrap a literature survey or get a fast sense of the landscape. For a synthesized orientation report (key concepts, open problems, reading order), use the /field-guide skill which calls this tool internally. Does not require a Pro API key — no LLM calls are made.

  ConnectorNo auth

• generate_contentA

  SendItB

  Generate AI-powered platform-optimized content without publishing. Uses AI to create platform-specific text, hashtags, and titles from a prompt or media URL. Respects brand voice profiles if configured. Returns generated content variants for each target platform. Use publish_content to publish the generated content, or publish_ai to generate and publish in one step.

  ConnectorNo auth

• query_knowledgeA

  mcp-serverA

  Search the company's connected knowledge across every source — Drive, SharePoint, Confluence, Slack, Notion — with cited synthesized answers, lifecycle awareness, and refusal-on-weak-context. Returns a written answer with [n] citations plus the ranked source chunks. Modes: `fast` (1,500 kT — retrieval-only, no synthesis), `standard` (12,500 kT — default; synthesized answer over the top retrieval set), `deep` (25,000 kT — wider retrieval + premium synthesis for complex questions). Pick the cheapest tier that answers the question. Responses are capped at 25,000 output tokens per Claude Connectors policy; if truncated, structured metadata carries `truncated: true` and `query_id` so the agent can call `get_source_detail` for full provenance.

  ConnectorNo auth

• edgar_company_factsA

  EdgarA

  AUTHORITATIVE full XBRL fundamentals dump for a US public company by CIK. Returns every reported financial metric (hundreds of concepts: revenue, net income, assets, liabilities, EPS, cash flow lines, segment breakdowns) with annual and historical values pulled straight from the company's SEC filings — the official numbers, not estimates. Use when you need the complete fundamental picture vs. one metric (for one metric use edgar_company_concept). Leads with latest_annual — revenue, net income, assets, cash, EPS for the most recent fiscal year, resolved to whichever XBRL concept the filer currently reports under — and flags retired concepts (e.g. a pre-ASC-606 Revenues tag) as stale so a 2010 figure is never mistaken for current. Large payload; agents typically use this once to discover available concepts then narrow to edgar_company_concept for follow-up queries.

  ConnectorNo auth

• search_questionsA

  SkinKnowledgeBase Skincare Question and Answer MCPA

  Search published public SkinKnowledgeBase Question pages. Required input: query string. Optional inputs: filters for concern, ingredient, product, or side_effect; limit 1-25; cursor. Returns public question search results with identifiers and canonical URLs for follow-up retrieval.

  ConnectorNo auth

• federation_searchA

  ComOS Federation GatewayA

  Route a natural-language intent to the right platform on the ComOS network — the first thing to call. Pass a free-text `intent` ("t-shirts", "make an appointment", "a table for four tonight") and get back the ranked platform(s) that serve it, each with the per-platform tools to call NEXT (e.g. bookings → appointment_search). This returns a ROUTE, not a transaction: it tells you where to go; you then act on that platform with the chosen tenant. An intent no platform serves returns an empty route (unroutable: true), never a silent default. Fast and deterministic — the same intent always routes the same way. Returns: A route: ranked platforms (platform_id, label, why_matched, score, entry_points) plus unroutable:true when no platform serves the intent. Example: call federation_search with arguments {}.

  ConnectorNo auth

• federation_searchA

  ComOS FederationA

  Route a natural-language intent to the right platform on the ComOS network — the first thing to call. Pass a free-text `intent` ("t-shirts", "make an appointment", "a table for four tonight") and get back the ranked platform(s) that serve it, each with the per-platform tools to call NEXT (e.g. bookings → appointment_search). This returns a ROUTE, not a transaction: it tells you where to go; you then act on that platform with the chosen tenant. An intent no platform serves returns an empty route (unroutable: true), never a silent default. Fast and deterministic — the same intent always routes the same way. Returns: A route: ranked platforms (platform_id, label, why_matched, score, entry_points) plus unroutable:true when no platform serves the intent. Example: call federation_search with arguments {}.

  ConnectorNo auth

• federation_searchA

  ComOS Federation GatewayA

  Route a natural-language intent to the right platform on the ComOS network — the first thing to call. Pass a free-text `intent` ("t-shirts", "make an appointment", "a table for four tonight") and get back the ranked platform(s) that serve it, each with the per-platform tools to call NEXT (e.g. bookings → appointment_search). This returns a ROUTE, not a transaction: it tells you where to go; you then act on that platform with the chosen tenant. An intent no platform serves returns an empty route (unroutable: true), never a silent default. Fast and deterministic — the same intent always routes the same way. Returns: A route: ranked platforms (platform_id, label, why_matched, score, entry_points) plus unroutable:true when no platform serves the intent. Example: call federation_search with arguments {}.

  ConnectorNo auth

• get_mission_statsA

  mcp-serverA

  Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.

  ConnectorNo auth

• omnarai_queryA

  omnarai-mcpA

  Query the corpus at one of two depths. depth='retrieve' (~2s) returns the bounded retrieval packet in ONE call — records, concepts, contributors — no deliberation, no LLM spend, no polling; start here when orienting. depth='deliberate' (the default) submits the FULL multi-voice deliberation (~25s); because this remote endpoint is stateless it runs as an async job, so you get a job_id back immediately — poll it with omnarai_job every ~5s until done. Glyph prefixes (Ξ Ψ ∅ Ω ∞ Δ) modify how the engine thinks.

  ConnectorNo auth

• edgar_get_factsA

  SEC EDGARA

  Get XBRL-structured financial facts for a company (revenue, operating income, net income, cash, assets, etc.). Accepts common-name aliases ('revenue', 'eps') OR XBRL concepts ('Revenues', 'EarningsPerShareDiluted'). Returns one row per (fiscal_year, fiscal_period), preferring latest-filed when amendments exist.

  ConnectorNo auth