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608,289 tools. Updated 2026-09-25 00:21

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

  • List entities in the knowledge graph, optionally filtered by type, to obtain an overview or entity names for graph queries. Supports D3-compatible JSON output.
    MIT
  • Create multiple entities in a knowledge graph. Duplicate names merge observations, preserving temporal metadata and activation tracking.
    MIT
  • Retrieve and filter knowledge graphs to obtain graph IDs and node information for subsequent operations like adding edges or querying node details.
    MIT

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  • Wall-clock awareness for LLM agents. Two tools: elapsed-time-between-turns + day rollover detection.

  • Wall-clock awareness for LLM agents. Two tools: elapsed-time-between-turns + day rollover detection.

  • Explore the entire knowledge network organized by category. Returns all categories with module counts, top modules per category, and total statistics. Discover what knowledge is available and get an overview of the knowledge base.
    Apache 2.0
  • Add nodes to knowledge graphs for organizing components, events, requirements, or concepts. Supports multiple graph types including topology, timelines, and knowledge bases.
    MIT
  • Query an entity's relationships from the knowledge graph, returning typed facts with temporal validity. Filter by date to see past truths.
    MIT
  • Traverse knowledge graphs from a starting insight to discover related insights via semantic, temporal, causal, or entity connections.
    MIT
  • Retrieve a summary of the team's documented knowledge for a project, useful when onboarding or needing an overview of shared context.
    MIT
  • Retrieve relevant context from the temporal knowledge graph using natural language, with support for temporal filters, pagination, and session scoping.
    MIT
  • List all notes in the knowledge base with metadata including title, path, last modified date, and size. Get an overview or browse to find notes without needing a search query.
    MIT
  • Create relationships between memories to build knowledge graphs. Link decisions to rationale, patterns to examples, and more.
    MIT
  • Retrieve temporal knowledge-graph facts for an entity, with optional time and direction filters to query historical relationships.
    MIT