"memory" matching MCP servers:

An MCP server that helps teams create, manage, and access structured project documentation through six core document types, leveraging AI to generate comprehensive project knowledge management.

Snipara is the Project Brain for AI coding agents: a shared Project Intelligence layer for persistent context, reviewed memory, code impact, verification evidence, and handoffs through MCP.

Transforms Kindle highlight exports into structured personal memory summaries saved to Notion. Parses HTML and text files to generate book insights including themes, key ideas, and actionable takeaways using the host model's context window without external AI API calls.

A Model Context Protocol server for interacting with the Figma API that handles large Figma files efficiently through memory-aware chunking and pagination capabilities.

MCP server for fetching, parsing, and managing RSS feeds. Features Fetch and parse RSS/Atom feeds In-memory caching with TTL Batch fetching of multiple feeds Monitor feeds for new items Search content across multiple feeds Extract and format feed content

Connects compatible AI assistants to Memuaria so they can retrieve account and book information, check memory or story draft status, and prepare changes for user review while personal data remains in the Memuaria cloud service.

Universal MCP server for WordPress & WooCommerce, enabling AI agents to execute PHP, extract product attributes, and manage 38 builders/plugins with a WSOD-safe sandbox and persistent project memory.

Enables a ChatGPT Scheduled Task to maintain long-term news memory and publish reliably to a Discord channel via local duplicate/update detection, gap-free research checkpoints, and a durable outbox with OAuth 2.1.

Enables AI agents to draft long-form web novels with persistent, disk-backed memory, assembling a pre-writing task brief from structured settings, outlines, foreshadowing ledgers, and timelines, then committing post-chapter fact increments. It also audits pacing, checks per-chapter six-dimension consistency, gates commits on unresolved review findings, and can replay the commit chain to rebuild state when records and manuscripts disagree.

Enables Claude AI to seamlessly interact with Scrivener projects for document management, AI-powered content analysis, and advanced writing assistance.