"Techniques and Strategies to Improve Long-Term Memory" matching MCP servers:

Allows Cursor AI to communicate with Figma for reading designs and modifying them programmatically through a Model Context Protocol integration.

Converts Markdown files to Atlassian Document Format and publishes them to Confluence, with support for rendering Mermaid diagrams as PNG attachments.

An MCP server that automates converting diverse content sources like WeChat articles, YouTube videos, and various document formats into AI-generated outputs such as podcasts and slide decks via Google NotebookLM. It integrates specialized tools for web scraping, OCR, and file transformation to facilitate seamless content generation through natural language.

Enables Cursor AI to communicate with Figma for reading designs and modifying them programmatically, allowing users to automate design tasks through natural language.

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.

An MCP server that converts Markdown to HTML, supporting both stdio and HTTP interfaces for easy integration with Cursor and other MCP clients.

Converts Figma designs into React components with TypeScript and Tailwind CSS by extracting components from Figma files and transforming them into ready-to-use code.

Enables publishing content to multiple social media platforms (YouTube, Twitter, Facebook, Instagram, TikTok, Reddit, Blog) through automation agents, with task management and system validation.

An MCP server that converts Markdown content to Notion API-compatible formats, suitable for content management and development integration.

Converts Figma designs to React Native components, allowing users to extract components from Figma designs and generate corresponding React Native components with proper typing and styling.

Enables AI assistants like Claude Desktop to interact directly with Figma, allowing natural language commands to create, modify, and analyze designs including shapes, text, components, and layouts in real-time.

Enables synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.

Converts Markdown documents to professional Word documents with advanced formatting capabilities including mathematical formulas, custom styling, tables, images, headers/footers, and watermarks.

lets you interact with your meeting data (to list, ask, summarize, extract - virtually anything about your meeting) through Claude’s desktop client across Zoom, Google Meet and MS Teams via tl;dv.

Enriches Claude with tools to generate brand-consistent images using OpenAI's gpt-image-2 and upload them directly to Notion pages.

Enables interaction with table data in a Federated Wiki, supporting CSV, TSV, JSON, and markdown pipe tables, with CRUD operations via REST and MCP tools.

Enables interaction with the dev.to platform through its public API. Allows users to retrieve articles, user profiles, tags, comments, and perform article searches without requiring authentication.

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.

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