"date-fns" matching MCP servers:

An MCP server that provides AI agents with a persistent, PostgreSQL-backed virtual filesystem, supporting session-isolated file operations, cross-session shared stores, and glob/grep search.

Captures and retrieves Markdown records for a personal recording system, enabling journaling, input tracking, search, and date-range review.

Enables local, offline querying of birthdays and biographical tags for celebrities, historical figures, and ACG characters, including date-based lists, name/alias search, person details, and upcoming birthdays.

An MCP server that enables interaction with Markdown knowledge bases, allowing users to search and retrieve content by tags, text, URL, or date range from their local markdown files.

Enables chat assistants to remember past conversations by saving each turn and retrieving semantically relevant memories via similarity search. Also allows fetching all memories from a specific date.

Look up countries, timezones, periodic table elements, physical constants, units, HTTP status codes, and MIME types via MCP. STDIO or Streamable HTTP.

Enables insurance claims review assistance by querying a knowledge graph of Korean standard insurance terms, restoring applicable policy versions by enrollment date, and returning coverage/exclusion determinations with cited provisions.

Enables AI agents to read, search, write, and link notes in an Obsidian vault via MCP tools and resources.

Enables a small local LLM to build and maintain a project map by offloading event ID/date generation, batching, synchronization, recovery, and finalization to the server, so the model only decides what to read and how to classify.

This MCP server provides fail-closed governance for DataHub data agents by implementing a Read Context → Restricted AST Gate → Tamper-Evident Proof Pack → Native DataHub Write-Back loop. It verifies dataset identity, schema, and lineage evidence against candidate contracts, binds claims to evidence, and appends VERIFIED or BLOCKED receipts back to DataHub through the official native update_description MCP mutation.

Enables AI agents to store and retrieve typed facts with bi-temporal validity, supersede outdated information, and query what was true as of any past date.

Gives AI agents theory-of-mind memory backed by FalkorDB: each agent gets its own mind graph of what it believes plus nested perspectives of what it thinks other agents believe, updated only by events it witnessed. This lets agents detect who is out of date or holds a wrong model of whom, and compute the smallest handoff or announcement that fixes it.

Enables searching local OpenAI Codex conversation history by keywords, project, date, or role, listing sessions, and retrieving exact supporting messages through MCP tools.

Enables MCP-compatible agents to read explicitly specified persona files, long-term memories, daily summaries, and valid continuation cards through read-only context tools. It supports keyword recall and limited source retrieval with source numbering and eligibility re-checks.

Enables voice-first household maintenance tracking, turning spoken updates into durable records, service history, and due-date reminders for a concise maintenance brief.

Enables an MCP client to resolve household appliances, retrieve local manual/warranty/incident records, compare a stored warranty date, review persistent service case history, and draft cited repair cases that only a human can approve or close before export.

Searches knowledge from the GPTers AI study community with filtering by date, author, and board.

Enables querying a personal fact store (facts with about and learned timestamps) through natural language over the Model Context Protocol. Supports scheduling importers to keep facts up-to-date.

Free Industry 4.0 / IIoT tools, no API key or account: lint MQTT Sparkplug B topics, check a Unified Namespace (UNS) for naming and hierarchy problems, and run an industrial AI-readiness diagnostic for manufacturing digital transformation and smart-factory projects. Works in Claude Code, Codex and any MCP client.

Gives every AI agent working in a repository a shared, persistent knowledge graph stored in a plain JSONL file, with each entity, relation, and observation tagged with the date and agent that added it. Provides tools and prompts for searching, editing, renaming, merging, cleaning up, and exporting that memory, and keeps it locked to the repository that owns it.