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"Temporal" matching MCP servers:

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    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
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    Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback, graph_query, graph_add_triple. Self-hosted with Qdrant backend.
    6
    6
    Apache 2.0
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    maintenance
    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
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    Persistent knowledge graph MCP server with SQLite backend, offering graph traversal, fuzzy search, and temporal queries for entities and relations. It serves as a drop-in replacement for the npm mcp-server-memory with enhanced capabilities.
    12
    MIT
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    razilian public procurement (PNCP) and Federal Revenue CNPJ data for any MCP client. 18 tools covering bids, contracts, atas de registro de preço, annual procurement plans, CNPJ enrichment, plus temporal aggregation and period comparison. MIT licensed, maintained by Licinexus under Law 14.133/2021.
    18
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    75
    MIT
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    Persistent knowledge graph MCP server with SQLite backend. Enables graph traversal, fuzzy search, temporal queries, and timestamps for entity management.
    12
    MIT
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    Provides long-term memory and a temporal knowledge graph for AI agents, enabling persistent memory and reasoning across sessions.
    26
    1
    MIT
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    quality
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    Cross-agent memory server: hybrid (vector + full-text + knowledge-graph) recall, per-user private/shared visibility, write-side secret/PII redaction, and as-of-date bi-temporal fact queries. Auto-injection hooks for Claude Code / Cursor / Codex; self-hostable on PostgreSQL or SQLite.
    46
    7
    MIT
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    Provides tools to search, download, and manage satellite imagery from all Copernicus Sentinel missions via the Copernicus Data Space ecosystem. It enables advanced geospatial queries, temporal coverage analysis, and automated data management for Earth observation tasks.
    13
    3
    LGPL 3.0
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    Enables AI assistants to search and access geospatial datasets through STAC (SpatioTemporal Asset Catalog) APIs. Supports querying satellite imagery, weather data, and other geospatial assets with spatial, temporal, and attribute filters.
    11
    12
    MIT
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    quality
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    Enables coding agents to record, recall, supersede, and trace temporal decisions with rationale using MCP tools.
    8
    1
    Apache 2.0