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"Temporal" matching MCP servers:

  • F
    license
    -
    quality
    C
    maintenance
    An experimental MCP server that compresses git commit co-change coupling graphs using the Baligács temporal clique linear spanner algorithm, reducing edge and token counts by ~55-65% while preserving temporal reachability, and exposes tools like index_repository, get_architecture, search_code, and temporal_compress for querying code knowledge graphs.
  • A
    license
    A
    quality
    B
    maintenance
    A local Git intelligence MCP server that provides deep repository analytics including hotspots, temporal coupling, knowledge maps, churn analysis, and risk scoring for AI agents.
    12
    12
    MIT
  • A
    license
    C
    quality
    A
    maintenance
    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
    license
    -
    quality
    D
    maintenance
    Enables AI agents to search code by meaning, explore codebase structure, store and query knowledge with temporal facts, and read source code through a set of MCP tools.
    453
    6
    MIT
  • F
    license
    -
    quality
    A
    maintenance
    Memtrace is a persistent memory layer for coding agents, built as a bi‑temporal structural knowledge graph over your codebase (AST‑driven symbols and relationships, plus temporal evolution and cross‑service API topology)
    448
  • A
    license
    A
    quality
    A
    maintenance
    memex is a developer context-continuity MCP server — it watches your git repos and builds a temporal knowledge graph (modules, symbols, decisions, open problems) via Graphiti + Neo4j, then serves it to any AI coding agent over MCP. Every edge carries a validity window and a confidence score that decays over time. 12 tools across read and write. Install via npx -y stifler-memex-mcp. MIT licensed.
    13
    12
    MIT
  • A
    license
    -
    quality
    A
    maintenance
    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