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

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    Combines a bi-temporal knowledge graph with dynamic automation tool generation for AI agents, enabling persistent memory with temporal tracking and custom tool creation.
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    Provides LLM agents with a sense of time between turns via two MCP tools that track elapsed time and day rollover per conversation thread.
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    MIT
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    Provides AI agents with read-only access to Temporal infrastructure through 28 tools, plus an Agent Skill with expert guidance for writing correct Temporal code.
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    An MCP server for debugging Temporal workflows, enabling LLM-assisted inspection of workflow executions, detailed workflow info, and event history.
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    Provides AI assistants with rich temporal intelligence including timezone conversions, 9 cultural calendars (Hebrew, Islamic, Chinese, etc.), astronomical events, Islamic prayer times, and context-aware activity appropriateness recommendations.
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    MIT
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    A Model Context Protocol (MCP) server that provides AI agents with comprehensive temporal awareness and time calculation capabilities.
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    MIT
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    Enables AI assistants to observe and manage Temporal workflows, including listing, starting, signaling, resetting, terminating, querying, and retrieving history, with support for wait_for_activity and webhook utilities.
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    Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.
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    MIT
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    Local knowledge engine for codebases with hybrid search, knowledge graph, and interaction tracking, enabling Claude Code to search and interact with project knowledge locally.
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    MIT
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    An MCP server that connects AI assistants to YNAB budgets, enabling natural language queries about finances backed by full API coverage and built-in YNAB methodology knowledge.
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    MIT
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    An MCP server that enables AI agents to query specialized, domain-specific knowledge bases built using the LightRAG framework for enhanced retrieval-augmented generation. It allows for managing and searching knowledge graphs and vector embeddings to provide accurate, context-aware information during an AI assistant's reasoning process.
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    MIT
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    Provides mathematical operations (expression evaluation, arithmetic, advanced calculations) through MCP, backed by Temporal workflows for reliability and durability. Demonstrates integration between Model Context Protocol tools and Temporal's Nexus RPC framework with full observability.
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    An MCP server for managing tickets and meetings with CRUD operations, backed by PostgreSQL, and includes a REST API and React frontend.
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