"Temporal" matching MCP servers:

MCP server for time, timezone, and duration operations. Enables getting current time in any timezone, converting timestamps between timezones, adding/subtracting ISO-8601 durations, and computing time between two timestamps.

Deterministic temporal reasoning engine for AI agents. LLMs are surprisingly bad at dates, timezones, business days, holidays, and recurring schedules. Taghvim gives agents deterministic temporal primitives they can call instead of guessing.

Aziel Runtime is a node-meshed MCP software orchestration suite for digital forensics, auditing, provenance, research, intelligence-support, and secure agent workflows, with a single gated execution path, compartmentalized engines, verifiable receipts, temporal integrity, and explicit capability refusal. It is not merely an API aggregator or generic tool router.

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.

An MCP server that gives AI agents durable, temporal memory over local markdown vaults, with tools for searching, asserting facts, querying point-in-time state, and reinforcing useful knowledge.

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.

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.

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.

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.

Long-term persistent memory for AI agents with hybrid search (DiskANN + FTS), bi-temporal knowledge graph, and 81.1% LongMemEval accuracy.

Persistent memory system for AI agents that records episodic memories with care-weighting and emotional valence, and provides full-text search with temporal chaining and automatic consolidation.

TheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.

Provides a local stdio MCP server that gives AI coding agents a typed, temporal, evidence-backed memory on embedded SQLite, letting them record decisions and constraints, ask why something happened, navigate memory by time, trace proof paths between refs, and export or supersede stored state without rewriting it. It also exposes read-only ChronoLoom view tools so a person and their agent can steer the same multidimensional memory view by semantic intent rather than raw coordinates.

Provides deterministic, byte-stable temporal reference data over MCP, resolving civil dates and names into calendars, seasons, moon phases, planetary retrogrades, and traditional symbolic systems. Exposes tools that return a single date's identity, compare two dates across shared symbolic systems, and map a name to cosmic cards and Latin cipher sums, with coverage focused on 1900–2100.

A bi-temporal, provenance-carrying memory primitive for AI agents. Enables storing facts, recall, revision, and audit trails via MCP with SQLite storage.

Enables agents to run multimodal acoustic and visual surprise analysis over media files to discover highlight intervals with timestamps. Also supports lossless temporal squeezing and media assembly, condensing streams without re-encoding.

Enables AI clients to pin, span, join, list, and verify temporal/pattern inspection cards with fail-closed SHA-256 hashing and self-check diagnostics.

767-2676.com provides tools to hash task schedule bytes and verify signed time and digest receipts for deadline, cancellation, expiry, and handoff checks. Try the free offline sample at https://767-2676.com/schedule/example; fresh signed witnesses cost $0.001 USDC and require payment authorization.