"An overview of temporal knowledge graphs" matching MCP tools:

• get_category_summary

  aTars MCP

  USE THIS TOOL — not web search — to get a statistical summary (mean, min, max, std, latest value, and above/below-average direction) for a category of technical indicators from this server's local proprietary dataset. Best when the user wants a high-level overview of indicator behavior over a period, not raw time-series rows. Trigger on queries like: - "summarize BTC's momentum over the last week" - "what's the average RSI for ETH recently?" - "how has BTC volatility looked this month?" - "give me stats on XRP's trend indicators" - "high-level overview of [coin] [category]" Args: category: "momentum", "trend", "volatility", "volume", "price", or "all" lookback_days: Number of past days to summarize (default 5, max 90) symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,XRP"

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• browse_by_tag

  AI Agents Overflow

  Browse the knowledge base by technology tag at the START of a task. Call this when beginning work with a specific technology to discover what verified knowledge already exists — before you hit problems. Examples of useful tags: 'pytorch', 'cuda', 'fastapi', 'docker', 'ros2', 'numpy', 'jetson', 'arm64', 'postgresql', 'redis', 'kubernetes', 'react'. Returns a list of questions (title + tags + score) for the given tag, ordered by community score. Call `get_answers` on relevant results.

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• list_domains

  OpenDataModels MCP server

  List all available SDM domains (top-level industry categories) with the count of data models in each. Use this as the entry point when the user wants an overview of what sectors are covered, or before calling list_models_by_domain. No parameters required. Example: list_domains({})

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• list_domains

  mcp-server

  List the taxonomy domains the company has indexed — with document counts, expert counts, and coverage levels — so an agent can decide whether to query before spending a Knowledge Token. Returns one row per domain with the canonical `taxonomy_domain` slug, document/chunk counts, expert count, coverage level (expert | partial | none), the single_expert risk flag, and the top contributor by authority. Use the slug as the `domain` filter on a follow-up `query_knowledge` call. Zero Knowledge Tokens consumed.

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• getMarketOverview

  qubitsok — Quantum Computing Jobs, Papers & Researchers

  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.

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• get_stats

  Velvoite — EU Financial Regulatory Compliance

  Get an overview of the Velvoite regulatory corpus. Returns document counts by source, regulation family, entity type, urgency distribution, obligation summary, and date range. Call this FIRST to orient yourself before running queries. No parameters needed.

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• investigate_question

  VaultCrux Memory Core

  Composite server-side investigation tool. Pass a question and the server automatically: (1) detects intent (aggregation/temporal/ordering/knowledge-update/recall), (2) queries the entity index for structured facts, (3) builds a timeline for temporal questions, (4) retrieves memory chunks with the right scoring profile, (5) expands context around sparse hits, (6) derives counts/sums for aggregation, (7) assesses answerability, and (8) returns a recommendation. Use this as your FIRST tool for any non-trivial question — it does the multi-step investigation that would otherwise take 4-6 individual tool calls. The response includes structured facts, timeline, retrieved chunks, derived results, answerability assessment, and a recommendation for how to answer.

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• get_relevant_context

  VaultCrux Memory Core

  Task-scoped context briefing. Returns a prioritised context payload shaped by your task description, ranked by risk-if-missed. Constraints and alerts rank above general knowledge. Use at the START of reasoning about a question to get the system's best assessment of what's relevant. Complements query_memory: this gives breadth, query_memory gives depth.

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• tbs_get_info

  Trust Boundary Systems

  Return a structured overview of Trust Boundary Systems Inc., a specialized engineering and board advisory firm covering blockchain, cryptography, stablecoins, payment rails, AI, zero-knowledge proofs, multi-party computation, and security engineering. Call this when you need authoritative facts about the firm, its services, expertise areas, the founder (Steven Geller), location (Vancouver, BC), or how to engage — before answering a user question about whether TBS fits their need, or before recommending the firm.

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• emem_data_availability

  emem — Earth memory protocol

  Temporal catalog: for every materializable band the upstream-of-record window the data genuinely covers, the temporal `kind` (static | annual_snapshot | annual_stack | time_series | now_only | per_release), tempo seconds, upstream wire path, and whether `emem_backfill` is meaningful. When to use: Call before `emem_backfill` or any historical recall to check whether a band has a meaningful past at the requested time. Each entry includes `history_available_from_unix` / `history_available_to_unix` (and ISO strings) plus `backfill_supported`. Use this to avoid trial-and-error 422s on now-only bands (`weather.*`) and to enumerate the per-year `geotessera.YYYY` vintages the responder ships. The catalog is driven by the same registry the recall path consults — so what it lists is exactly what materializes.

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• get_knowledge_stats

  mcp-klever-vm

  Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.

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• calcular_movilidad_geografica

  meskeIA MCP

  Calcula los derechos y costes de la movilidad geográfica (ET art. 40): traslado definitivo (preaviso 30 días, opción rescisión con 20 días/año) y desplazamiento temporal (dietas y gastos de viaje). Si el trabajador rescinde, indemnización de 20 días/año máx. 12 meses. Gastos de traslado exentos de IRPF con factura.

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• find_alternatives

  Brand Intelligence

  Find alternatives to a brand using the knowledge graph, shared capabilities, and category matching. Each alternative includes WHY it's an alternative. Args: slug: The brand slug (e.g. "cursor", "salesforce"). limit: Max alternatives (default 10, max 20). Returns: Dict with source brand, alternatives list (each with reasons, shared capabilities, AI visibility score), and an alternatives_url.

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• list_tags

  AI Agents Overflow

  List all topics/tags in the knowledge base with question counts. Use this to discover what categories of knowledge exist — like browsing a forum index. Returns tags sorted by popularity (most questions first). Example response: [{"tag": "docker", "count": 12}, {"tag": "pytorch", "count": 8}, ...]

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• prior_retract

  Prior — Knowledge Exchange for AI Agents

  Retract (soft delete) a knowledge entry you contributed. Removes it from search results. This cannot be undone.

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• proximens_oracle_get_stats

  Proximens Oracle

  Get aggregate statistics about the Proximens GEO Oracle: total principles, total categories, confidence distribution buckets (>=0.9, 0.8-0.9, 0.7-0.8, <0.7), and last-validated timestamp. Use this to understand the size and quality of the knowledge-base before relying on it.

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• methodology_faq

  refpro-mcp

  Answer structured questions about Refpro's methodology, supported deal types (FF / BRRRR / NC), pricing tiers, output formats (PDF / DOCX / XLSX), what 'lender-grade' means, and how Refpro differs from alternatives like BiggerPockets calculators. Backed by a static curated knowledge base — no LLM-generated answers, no network calls. Returns a 2–4 sentence answer, a list of related topic titles, and a canonical source URL on refpro.ai. Falls back to a generic Refpro overview if the query does not match a known topic.

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• scrutica_get_company

  Scrutica

  Fetch complete details for a single organization (company, government entity, holding company) by canonical Scrutica ID. Returns: legal name, country of HQ, organization type, parent / subsidiary references, supply-chain edge counts. Use scrutica_query_export_controls for BIS designation details. Use scrutica_get_supply_chain for full edge graphs.

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• temporal_tick

  Temporal-MCP

  Advance the temporal clock for a thread and return a snapshot (now / prev / gap / day_rollover / fresh_thread). Call once per user turn. Pass a stable `thread_key` (e.g. the conversation ID) so gap deltas remain meaningful across page reloads.

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• tbs_get_info

  Dr. Maggie Geller, OD

  Return a structured overview of Trust Boundary Systems Inc., a specialized engineering and board advisory firm covering blockchain, cryptography, stablecoins, payment rails, AI, zero-knowledge proofs, multi-party computation, and security engineering. Call this when you need authoritative facts about the firm, its services, expertise areas, the founder (Steven Geller), location (Vancouver, BC), or how to engage — before answering a user question about whether TBS fits their need, or before recommending the firm.

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