136,023 tools. Last updated 2026-05-26 00:26
"Building a Knowledge Graph for Personal Life Organization" matching MCP tools:
- Returns an entity record for a surveillance company or data broker, including its industry, estimated annual data value per user (in USD), categories of personal data collected, and the full list of domains it controls. Free tier returns 5 domains, paid returns up to 200. Use this tool when: - You want to understand what corporate entity owns or controls a tracker domain. - You need to assess the total surveillance footprint of a company (e.g., Alphabet, Meta, Oracle). - You are building a corporate surveillance graph and need domain-to-entity mapping. Do NOT use this tool when: - You have a domain and need its category — use `get_domain` instead. - You want to browse entities by industry — use `list_entities` instead. - You are searching for an entity by name — use `search` instead. Inputs: - `slug` (path, required): URL-safe entity identifier (lowercase, hyphens). Examples: `alphabet`, `meta`, `oracle-data-cloud`, `the-trade-desk`. Returns: - Full `EntityRecord` with data categories, estimated data cost, and associated domains. - `domains`: array of top-scoring domains (5 for free tier, 200 for paid). - Pro/enterprise additionally return `website` and `description` fields. Cost: - Free tier: included in 50 req/day limit. Pro/enterprise: included in plan. Latency: - Typical: <150ms, p99: <400ms.Connector
- Returns today's angel number computed from the current date. All digits of the date are summed and reduced to a single digit (1-9), then the triple sequence of that digit is returned (e.g. digit 9 → angel number 999). SECTION: WHAT THIS TOOL COVERS Angel numbers are repeated digit sequences interpreted as synchronistic messages in modern spiritual practice. The daily angel number is the same for all callers on the same date — it is a collective daily energy, not personal. Returns the angel number sequence, its theme, primary message, actionable guidance, and associated life areas. Life Path 3 → 333 (creative expression). Today's digit is derived from the date's digit sum. SECTION: WORKFLOW BEFORE: None — standalone. AFTER: asterwise_get_angel_number_personal — for a personalised angel number from birth date. SECTION: INPUT CONTRACT No required parameters — today's date is used automatically. SECTION: OUTPUT CONTRACT data.date (string — YYYY-MM-DD) data.daily_digit (int — reduced digit 1-9) data.angel_number (string — e.g. '999') data.number (string — same as angel_number) data.theme (string) data.message (string) data.guidance (string) data.areas[] (string array) SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON. response_format=markdown renders a human-readable report. Both return identical data. SECTION: COMPUTE CLASS FAST_LOOKUP — pure math, no ephemeris. SECTION: ERROR CONTRACT INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_angel_number — lookup for a specific number sequence by value. asterwise_get_angel_number_personal — personalised number from birth date Life Path.Connector
- Computes a personal angel number from a birth date using the Pythagorean Life Path as the base. Life Path 1-9 maps to the triple sequence (LP 4 → 444). Master numbers 11, 22, 33 map to 1111, 2222, 3333 respectively. SECTION: WHAT THIS TOOL COVERS The personal angel number is the individual's primary energetic signature in angel number tradition. Derived using the digit-fusing Life Path method (same as asterwise_get_numerology_profile): all digits of the birth date are summed and reduced to a single digit or master number, then mapped to the corresponding triple or quadruple sequence. Returns the Life Path number, the angel sequence, and the full angel number interpretation. SECTION: WORKFLOW BEFORE: RECOMMENDED — asterwise_get_numerology_profile — confirm Life Path before calling. AFTER: None. SECTION: INPUT CONTRACT date: Birth date in YYYY-MM-DD format. Example: '1994-03-31' name (optional): Person's name for personalisation. SECTION: OUTPUT CONTRACT data.birth_date (string) data.life_path (int — 1-9 or master 11/22/33) data.angel_number (string — e.g. '333' for LP 3) data.number (string) data.theme (string) data.message (string) data.guidance (string) data.areas[] (string array) data.name (string or null — if provided) SECTION: RESPONSE FORMAT response_format=json — structured JSON. response_format=markdown — human-readable. Both return identical data. SECTION: COMPUTE CLASS FAST_LOOKUP — pure digit math, no ephemeris. SECTION: ERROR CONTRACT INVALID_PARAMS (upstream): Invalid date format → 422. INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_angel_number_today — collective daily number from today's date, not birth date. asterwise_get_numerology_profile — full Pythagorean profile; this tool extracts only the Life Path → angel sequence mapping.Connector
- Get pre-built graph template schemas for common use cases. ⭐ USE THIS FIRST when creating a new graph project! Templates show the CORRECT graph schema format with: proper node definitions (description, flat_labels, schema with flat field definitions), relationship configurations (from, to, cardinality, data_schema), and hierarchical entity nesting. Available templates: Social Network (users, posts, follows), Knowledge Graph (topics, articles, authors), Product Catalog (products, categories, suppliers). You can use these templates directly with create_graph_project or modify them for your needs. TIP: Study these templates to understand the correct graph schema format before creating custom schemas.Connector
- Creates a new display directly within an organization WITHOUT pairing it to physical hardware. The display starts offline and uncoupled. For physical screens, ALWAYS prefer pair_by_code instead — it creates and pairs in one step. Use create_org_display only for administrative pre-provisioning when the screen is not yet available. The display is owned by the organization, not by a personal user. Requires admin scope and manager or higher role in the organization. The organization must have available licenses (use allocate_licenses first if needed).Connector
- Add a person to the household. Track their allergens, dietary restrictions, preferences, dislikes, goals, and life stage. This data is used for allergen safety and personalized meal suggestions. Only name is required — dietary details can be added later with update_diner.Connector
Matching MCP Servers
- AlicenseAqualityBmaintenanceAn improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.Last updated10374862MIT
- AlicenseAqualityCmaintenanceEnables creating, managing, analyzing, and visualizing knowledge graphs with support for multiple graph types (topology, timelines, changelogs, requirements, knowledge bases, ontologies) including node/edge management and resource association.Last updated1531MIT
Matching MCP Connectors
The Graph MCP — indexed blockchain data via subgraph GraphQL queries
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
- Permanently deletes a data slot. Display HTML fetching its readUrl will receive 404 after deletion. Cannot be undone. Supply group_id to delete a group slot; omit for personal slots. Requires authentication.Connector
- Return the full structured dossier for a named entity — the canonical citable artifact for any actor, organization, ordinance, or project the corpus references. Returns: voxel_lead (134-167 word voxel-disciplined identity prose), canonical_role, the class-specific cluster (person.voting_record for board members; organization.type + jurisdiction; legislation.legal_status + effective_date + sunset_date + citation; creative_work.work_type + status + case_number), the bidirectional graph references (appears_in_meetings, appears_in_briefs, appears_in_watches, exhibits_patterns, related_entities, related_places, related_corridors), the provenance_chain, and the canonical surfaces (dossier URL, schema_id, decoder_index_hub). Each schema_id (`/entities/{slug}#{class.toLowerCase()}`) is the stable cross-page Schema.org reference — Person / Organization / Legislation / CreativeWork — that AI agents resolve to when citing the entity. Use when grounding a citation, when reasoning about an entity's full role across the corpus, or when traversing the entity graph from a single name.Connector
- List all available component types and example configurations for building wiring diagrams. Use this to understand what parameters are needed before calling generate_wiring_diagram.Connector
- Search across ALL string properties of ALL nodes in a deployed graph using free-text queries. Unlike search_graph_nodes (which filters by specific property), this searches every text field at once. Perfect for finding knowledge when you don't know which property contains the answer. Example: query "quantum" searches name, description, summary, notes, and all other string fields. Returns nodes with _match_fields showing which properties matched. Optionally filter by entity_type to narrow results.Connector
- 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.Connector
- Get the current context routing mode for the organization. Returns 'keyword_llm', 'keyword_only', or 'llm_only'.Connector
- Returns the current JSON content and metadata of a data slot by slug. Supply group_id to look up a group slot; omit it for personal slots. The response includes readUrl — the public anonymous URL for display HTML to fetch. Requires authentication.Connector
- Check remaining credits for the organization. Shows subscription credits, purchased credit packs, and total available credits.Connector
- Returns all household members (diners) with their dietary profiles: allergens, restrictions, preferences, dislikes, goals, and life stages. Use to understand who the user cooks for and what dietary constraints matter. Essential context for safe meal suggestions — check allergens before recommending any recipe.Connector
- 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.Connector
- 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.Connector
- User profile, contacts, invitations, assets, and personal AI instructions. Call action='describe' for the full action/param reference. Destructive: close.Connector
- List of 24 top-level categories with i18n labels. USE WHEN: building a category picker, validating ?category= input. Stable enum (rarely changes). For higher-resolution browsing → quizbase_subcategories or quizbase_topics.Connector
- Returns the authenticated user's account profile including userId, name, email, plan with feature details, personal display limits (maxPersonalDisplays, currentPersonalDisplays, remainingPersonalDisplays), total accessible displays across all organizations, organization memberships summary and points balance. Use this to answer questions about the user's subscription, display quota, organization memberships or plan capabilities. Requires authentication with at least content_only scope. Do not use this to list displays — use list_displays instead.Connector