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"Temporal" matching MCP servers:

  • A
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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.
    38
    5
    MIT
  • F
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    An MCP server for debugging Temporal workflows, enabling LLM-assisted inspection of workflow executions, detailed workflow info, and event history.
  • F
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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 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.
    1
  • A
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    A Model Context Protocol server built with FastMCP that provides tools for retrieving the current local date and time. It allows LLMs to access precise temporal information directly from the host environment.
    9
    MIT
  • A
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    Provides human-like memory dynamics for AI assistants where memories naturally fade over time unless reinforced through use, mimicking the Ebbinghaus forgetting curve. Enables automatic saving, searching, and management of contextual information with temporal decay algorithms.
    11
    36
    AGPL 3.0
  • A
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    Provides AI assistants with real-time date, time, and timezone information, enabling them to access current temporal data, format dates, calculate day of week, and work with different timezones.
    4
    7
  • A
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    Provides comprehensive date, time, timezone, and calendar operations powered by Luxon, enabling AI agents to perform time calculations, timezone conversions, and temporal data handling across 400+ IANA timezones.
    2
    17
    MIT
  • A
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    Temporal knowledge graph for codebases that captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risk, and enforces learned constraints at the edit boundary via a PreToolUse hook.
    31
    22
    MIT
  • A
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    Temporal change-impact authority MCP server that tracks per-entity change history across runs and answers downstream propagation queries, enabling impact analysis and reverification worklists.
    12
    MIT
  • A
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    A lightweight MCP server that provides date and time tools, including the ability to retrieve current timestamps and parse date strings with IANA timezone support. It enables AI models to interact with the host OS clock and perform temporal calculations via stdio transport.
    3
    9
    7
    MIT
  • A
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    Provides AI assistants with a Development Time Machine by analyzing git reflogs, commit history, working directory deltas, and shell history for temporal context, including safe git operations and smart commit generation.
    Apache 2.0
  • A
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    Local-first memory kernel for coding agents that provides a shared, auditable, graph-backed long-term memory layer with features like write preview, temporal recall, and provenance explanations.
    MIT
  • A
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    quality
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    One install. 8 IDEs. Your agent works from a structural map of your repo instead of re-reading whole files — so sessions run longer before the context wall — and bi-temporal mistakes are auto-captured from your git revert history, so it stops repeating fixes that already failed. Context packets run ~50–90% smaller per file (structural size, not a bill saving — run engram bench on yours).
    195
    139
    Apache 2.0
  • A
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    AI Constraint Engine that enforces CLAUDE.md, .cursorrules, and AGENTS.md rules as laws. 51 MCP tools for semantic conflict detection, patch review, drift scoring, pre-commit hooks, and Guardian Mode. Catches euphemisms, temporal evasion, and hidden violations that keyword matching misses.
    151
    24
    MIT
  • A
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    Shared team memory for AI coding agents with Bayesian confidence scoring and temporal decay, enabling persistent storage and retrieval of engineering patterns across sessions.
    22
    12
    MIT