"Temporal" matching MCP servers:

An MCP server for debugging Temporal workflows, enabling LLM-assisted inspection of workflow executions, detailed workflow info, and event history.

Enables managing invoice workflows using Temporal, allowing submission, approval, rejection, and status checking of invoices through MCP tools.

Calendar MCP server with atomic booking, conflict prevention, deterministic RRULE expansion, and TOON token compression for AI agents.

A local, offline memory server for AI agents that stores and retrieves memories without LLM calls, enabling persistent cross-session memory with bi-temporal querying and auditable records.

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.

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.

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.

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.

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.

Persistent knowledge graph MCP server with SQLite backend. Enables graph traversal, fuzzy search, temporal queries, and timestamps for entity management.

Provides long-term memory and a temporal knowledge graph for AI agents, enabling persistent memory and reasoning across sessions.

Provides AI agents with a temporal knowledge graph where knowledge relevance decays over time, enabling memory recall, reinforcement, and auto-archiving through MCP tools.

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.

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.

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.

A local-first open-source MCP server that acts as a personal secretary, memory manager, and automation hub—it syncs Calendar, Gmail, Canvas, GitHub, and Health into a typed temporal memory graph, and enables approval-gated write actions like creating events, drafting/sending mail, and filing issues, all with telegram/slack/CLI interfaces and a SQLite-backed audit trail.

Persistent 4-tier AI memory (episodic, semantic, project, procedural) with temporal scoring, contradiction detection, entity tracking, and real-time desktop visualization orb.

Audits local datasets and ML training code for target, temporal, and entity leakage, PII exposure, and invalid evaluation design, returning structured evidence and pass/review/block verdicts before model training.

Enables coding agents to record, recall, supersede, and trace temporal decisions with rationale using MCP tools.

Local-first temporal knowledge graph with six read-only MCP retrieval tools. Supports Ollama and embedded LadybugDB; additions use a separate CLI proposal queue with human approval and explicit application.