"Microsoft 365 MCP Server by Softeria AS" matching MCP servers:

Refines development prompts and stores semantic memory to save tokens in complex Antigravity tasks, enabling token savings and enriched context.

A lightweight MCP server for semantic search over markdown knowledge bases, enabling AI coding agents to index, search, and answer questions from local markdown documents.

A privacy-first, local-first MCP server that provides 15 ADHD/second-brain tools for capturing, prioritizing, and resurfacing tasks with context from calendar, mail, and messages.

Design contract layer for AI agents. Scans Figma, code, Storybook, and token files, reconciles conflicts, and serves a single machine-readable source of truth so every agent gets the same authoritative design rules before it builds. Local-first.

Provides an AI agent with a searchable markdown notes vault, offering tools to create, read, list, search, update, and delete notes stored as plain .md files.

A local MCP server that exposes Mem0 as persistent memory tools to any MCP client, storing data locally with no cloud API or API key required.

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Integrates Simplenote with Claude Desktop, allowing AI assistants to read, create, update, search, and manage your Simplenote notes as a memory backend or content source.

Generic MCP server exposing Nexusm core capabilities (memory, conversation, knowledge, feedback, context) to MCP clients via stdio and Streamable HTTP transports.

An MCP server implementation that enables interaction with the Letta API for managing agents, memory blocks, and tools in the Letta system.

Bridges Claude Code and other MCP clients to RemNote, enabling users to manage their knowledge base through natural language. It supports creating, searching, and updating notes, as well as appending content to daily journals via a dedicated bridge plugin.

A custom Memory MCP Server that acts as a cache for Infrastructure-as-Code information, allowing users to store, summarize, and manage notes with a custom URI scheme and simple resource handling.

An MCP server for storing and retrieving memories using Qdrant vector search, acting as a semantic memory layer.

A Model Context Protocol (MCP) server that optimizes token usage by caching data during language model interactions, compatible with any language model and MCP client.

An MCP server that leverages a GitHub-compatible API as a durable memory store for AI agents, enabling automatic memory storage, recall, and management without requiring signup or API keys.

Enables AI assistants to manage BookStack knowledge bases with tools for creating, reading, updating, and deleting pages, books, and shelves, as well as searching content.

A Model Context Protocol server that reduces token consumption by efficiently caching data between language model interactions, automatically storing and retrieving information to minimize redundant token usage.

A Model Context Protocol server that provides AI assistants with access to Glean's enterprise knowledge features, including content search, people directory, and AI chat capabilities.

Provides AI assistants with persistent memory and code intelligence across all tools and conversations. Features semantic search, knowledge graphs, decision tracking, and impact analysis with 60+ tools for universal context preservation.

Exposes a 108-dimensional crystal hologram distributed brain as an MCP server, enabling navigation of a complex nervous system with 81 tools and 4 element-specific lobes for structure, dynamics, observation, and compression.