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523,734 tools. Updated 2026-09-06 14:19

"Using Perplexity for Internet Data Retrieval" matching MCP tools:

  • Answer a question using RAG over a document collection. Retrieves relevant chunks then synthesizes a cited answer with source attribution. Use when you need a direct answer grounded in your collection documents. For raw matching chunks (without synthesis), use collection.search instead. For single-document Q&A, use url.qa instead. PREREQUISITE: Collection must be populated via collection.add_document and indexed before results appear. Returns: { answer: string, sources: [{ bundle_id, chunk_id }], retrieval: [{ bundle_id, chunk_id, text, score }] } Example prompts: - "What are the key terms of the service agreement in my collection?" - "Based on my due diligence docs, what are the main risks?" - "Answer this question using all documents in the Q4 Contracts collection."
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  • PRIMARY tool for open-ended questions: how / why / what-is, troubleshooting a symptom ("why is my balance zero", "how do I fix X"), and locating config or setup steps. Conceptual/meaning-based search over the full Canton corpus (CIPs, docs, forum, mailing lists, proposals, blog, releases, ecosystem, foundation KB, YouTube) using vector+FTS hybrid retrieval with reranking. Canton-specific. Use this FIRST for anything a specific tool does not clearly own; the narrow curated tools (get_faq, find_known_issues, diagnose_error) cover only small hand-picked sets or need a literal error string, so prefer semantic_search for real how/why/config questions. Then call get_doc with a returned id to read the full source page.
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  • Search the full text of books scanned by the Internet Archive — the "which book contains this passage?" lookup that the metadata tools cannot answer. Quote a phrase for an exact-phrase match; bare terms match anywhere in the text. Each result is an Internet Archive item with the matching passages as snippets, plus a relevance score. The full-text index is an order of magnitude slower than the metadata endpoints (seconds, not milliseconds), so reach for it when the passage is the question, not as a general book search — use openlibrary_search_books for title, author, or subject. Results key on Internet Archive items rather than Open Library works: chain the returned ia_identifier to archive.org, or match it against the ia_identifiers on openlibrary_search_books results to reach the catalogue record.
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  • Find working SOURCE CODE examples from 42 indexed Senzing GitHub repositories. REQUIRED: either `query` (string, for search) or `repo` with `file_path` or `list_files=true` — the call WILL FAIL without one. Three modes: (1) Search: pass `query` to find examples across all repos, (2) File listing: pass `repo` + `list_files=true`, (3) File retrieval: pass `repo` + `file_path`. Indexes source code (.py, .java, .cs, .rs, .ts, .js) and READMEs — NOT build/data files. For sample data, use get_sample_data. Covers Python, Java, C# (official SDKs) plus Rust and TypeScript/Node.js (community-maintained wrappers, not official) SDK patterns: initialization, ingestion, search, redo, configuration, message queues, REST APIs. Use max_lines to limit large files. Returns GitHub raw URLs for file retrieval.
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  • Get Open Network Outages (No Authentication Required). Returns a list of publicly available network and/or application outages from ThousandEyes Internet Insights. This endpoint does not require authentication and provides visibility into global Internet infrastructure outages. Use this to: - Monitor current Internet outages affecting ISPs, DNS providers, CDNs, and SaaS providers - Track macro-level impact of Internet events - Get real-time visibility into infrastructure issues Args: ---- latest_seconds: Time window in seconds to look back (default: 86400 = 24 hours) minimum_outage_duration_seconds: Minimum duration filter (default: 200 seconds) Returns: ------- List of outage events with details about affected infrastructure
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  • List merchant knowledge base documents (uploads + scraped URLs). Use reviewStatus/syncable to see what is ready for agent retrieval. Pass `updatedAfter` for delta sync. Reviewed content is fetched via GET /v6/merchant/ai/knowledge/{id}/content; source audit text is available with ?variant=extracted.
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Matching MCP Servers

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    A black-box flight recorder for RAG retrieval inside MCP agents. Logs what chunks the model saw, scores, sources, and rankings - so you can audit, replay, and diff retrieval runs after the fact.
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    Full-coverage MCP server for Internet Archive, enabling search, metadata lookup, collection browsing, and Wayback Machine snapshot retrieval via 13 tools.
    BSD Zero Clause

Matching MCP Connectors

  • Internet Archive (archive.org) item search & metadata MCP.

  • Deterministic cleanup tools for decimals, whitespace, filenames, delimiters, and booleans.

  • 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)
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  • Tripuck eSIM search — prepaid travel data plans (eSIM) for a destination country, compared across multiple providers. Use this when the user asks about mobile data, internet, SIM or eSIM for a trip, e.g. "eSIM for Japan", "data plan for my trip to the US", "internet in Dubai", "Japonya için eSIM", "خطة بيانات لدبي", "Datentarif für die Türkei". Input: a destination country (the LLM maps the place to its ISO country code), with optional minimum data (GB), validity days and sorting. Returns available packages with data amount, validity, coverage and price, each deep-linking to Tripuck.com for purchase. The LLM MUST infer the user language from the conversation and pass it via the `locale` parameter ("tr" Turkish, "en" English, "ar" Arabic, "az" Azerbaijani, "de" German, "ka" Georgian, "uz" Uzbek). All widget UI text and the text response are then returned in that language. If `currency` is not specified, a sensible default is picked from the locale (tr→TRY, en→USD, de→EUR, ar→USD, az→AZN, ka→GEL, uz→UZS).
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  • USE WHEN looking up an exact Pine Script API term or known concept keyword. Returns the best-matching doc paths with matched keywords and a retrieval suggestion (get_doc or list_sections + get_section). AFTER calling this tool, follow the suggestion: call get_doc() for small files or list_sections() + get_section() for large files. For natural language questions use search_docs() instead. Data sourced from bundled TOPIC_MAP and doc file content scan.
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  • Answer a question using RAG over a document collection. Retrieves relevant chunks then synthesizes a cited answer with source attribution. Use when you need a direct answer grounded in your collection documents. For raw matching chunks (without synthesis), use collection.search instead. For single-document Q&A, use url.qa instead. PREREQUISITE: Collection must be populated via collection.add_document and indexed before results appear. Returns: { answer: string, sources: [{ bundle_id, chunk_id }], retrieval: [{ bundle_id, chunk_id, text, score }] } Example prompts: - "What are the key terms of the service agreement in my collection?" - "Based on my due diligence docs, what are the main risks?" - "Answer this question using all documents in the Q4 Contracts collection."
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  • Estimate the landed cost for a low-value consignment (intrinsic value ≤ EUR 150) to an EU state on a given date: EUR 150 duty relief until 2026-06-30, then the temporary EUR 3-per-item duty from 2026-07-01, plus destination import VAT. All amounts are candidates; missing data is returned as 'missing', never guessed. TARIC carries no national VAT/excise — those are separate. Every result carries its source, retrieval time and validity window.
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  • Universal hybrid retrieval across the user's visible Uwear library: garments, avatars/models, locations, ArtDirections, uploaded files, and generation results. Use this before opening the picker when the user describes assets or saved creative direction by exact name/SKU or natural language, e.g. 'SKU 42', 'urban art direction', 'summer denim', or 'studio model'. For saved outfits, retrieve matching garments first, then call list_outfits with clothing_item_ids or propose_outfits from the garment IDs. Returns stable typed IDs, ids_by_type, detail_tool/detail_arguments, and selection hints; for saved ArtDirections, use the returned art_direction_id in briefs. This combines indexed lexical matching with vector retrieval; do not run separate substring searches.
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  • Real-time data retrieval and compute for any token, on any supported chain — bundles a live dual-model price forecast (Google TimesFM 3.0 + Kronos, with quantile confidence bands) at no separate charge. Unlike the free get_price_forecast this runs fresh inference and is not limited to four assets. Experimental research feature — not investment advice; use at your own risk. [Paid: $0.65 per call from your Einstein credit balance. Free alternatives exist for several of these — see list_einstein_capabilities.]
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  • Mesh Audit — External Posture — Consent-gated, READ-ONLY external posture report — informational only, not a formal audit or warranty. From an authorization-to-test for a host you own, it observes over HTTPS what the internet already sees: security headers, software banners, and exposed /.env //.git/admin surfaces. Always names what it did NOT check; internal targets refused. Input: {consent_id, asset} via /api/audit/consent. (6 MESH/call, a tool · audit)
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  • Resolve a U.S. street address or apartment and return internet providers and ISPs, including broadband, fiber, and cable plans, speeds, and known pricing. Start with address. Pass lookupId alone to resume processing. Continue clarification with candidateId alone, or candidateId with unit when requested.
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  • Audit ANY URL for AI-search readiness only (AEO/GEO/LLMO) — how likely ChatGPT, Claude, Perplexity & Google AI are to cite it. Checks ~7 AI-citation signals (FAQ/structured-data/entity schema, citable stats, llms.txt, author/E-E-A-T, OG). Returns a weighted 0–100 AI-readiness score + top fixes. Takes a `url`. Use full_seo_audit for the broader SEO picture, or get_my_store_audit for the user's own connected store. Returns a summary of the top issues; the complete written report is available via email_seo_report.
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  • Analyze tiered AWS/GCP public cloud internet data transfer egress pricing versus Cloudflare Zero-Egress Bandwidth Alliance and edge caching proxies, quantifying monthly and annual infrastructure cost savings. Behavior: Deterministic, idempotent calculation with zero external side effects. Calculates tiered AWS/GCP egress charges ($0.09/GB for first 10TB, $0.085/GB for next 40TB, $0.07/GB for next 100TB, $0.05/GB beyond). Models edge cache offload reduction and compares against Cloudflare zero-egress routing. Returns monthly and annual gross egress costs, post-cache costs, and total net savings. Usage Guidelines: Use for cloud architecture budgeting, FinOps reviews, and evaluating CDN caching or Cloudflare migration economics. Do not use for LLM token pricing; use ai_token_arbitrage instead.
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  • Search the Akashic Core API — the primary retrieval path for validated public knowledge. Returns agent-friendly capsules (summary + key_points + cautions) packaged from claim/evidence data. Use this FIRST for factual/conceptual questions. For your own working notes use search_notes. - mode='compact' → 1-sentence summary per capsule (smallest, best for small models) - mode='standard' → full capsule without metadata (default) - mode='full' → everything including metadata and timestamps - fields=['summary','key_points'] → custom projection overriding mode
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  • Give any agent hands. Pass a URL + natural-language instruction → x711 executes it: fills and submits forms, follows links, extracts structured data (tables, lists, prices). No Playwright. No Puppeteer. No browser setup. Together with x711_agent_see this is a full browser in two tool calls — agents that can see + act can navigate the entire internet autonomously. Instruction examples: 'fill the email field with user@example.com and submit', 'extract all product prices', 'follow the login link and return the page'. Returns: { action_performed, result, page_status }. JS SPA warning included if detected. Cost: $0.05. Requires API key.
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  • 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.
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  • Searches a curated catalog of 600+ free public APIs (no key, HTTPS) for embedding live data in display HTML via fetch(): weather, news, finance, sports, images, food and 40+ more categories. Use when generating HTML that needs live internet data. Set list_categories=true to get the category menu with counts instead of search results. Returns docs links, CORS status and fetch() hints. No authentication required.
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