"Integrating DaVinci Resolve API" matching MCP servers:

Enables Claude to control the AI Coach desktop pet, making the mascot react to the conversation, accept care, show messages, act out activities, preview local files, and manage user memos.

Provides AI agents with per-project note organization inside a single Obsidian vault, enabling them to resolve, write, read, append, list, and search notes without overwriting existing content.

Exposes a Notion-synced AI OS as read-only MCP tools, enabling MCP-compatible AI clients to search the vault, fetch page contents, list projects, and check project statuses without scraping public links.

Enables Google Drive, Sheets, and Docs operations; ATS job-board reads and liveness checks; local notes and HTTP connectors through MCP.

Provides AI coding agents with a local, Markdown-first shared memory, enabling them to record decisions, failures, progress, and handoffs and retrieve them across sessions via MCP tools.

Enables AI agents to use Obsidian vaults as persistent, bidirectional knowledge workspaces with wikilink/backlink resolution, structured frontmatter/tag indexing, task aggregation, and Obsidian Headless Sync.

Provides a shared, persistent memory layer for AI assistants, letting them read and write to a local Obsidian vault through MCP with validation, secret rejection, and deduplication.

Unofficial Notion MCP server built on Notion's private API (token_v2 cookie). Gives LLM agents full read/write access to the entire workspace — no integration token and no per-page sharing.

A bridge server that allows LLM tools to interact with an Obsidian vault through a local REST API, enabling file operations, note management, and metadata access through natural language.

A Model Context Protocol server that connects Claude Desktop to AI Note task management, enabling task creation, updates and management through natural language conversations.

A productivity coaching assistant designed for ADHD support that provides intelligent task management, goal tracking, and personalized recommendations. It utilizes a persistent memory system to learn user patterns and preferences, helping to reduce decision paralysis through actionable suggestions.

Enables AI assistants to interact with mem.ai memory through a standardized interface, providing complete API coverage with tools for notes, collections, and memory operations.

Enables AI-powered knowledge management and creative support by connecting Scrapbox data to Claude. Supports advanced search, relationship analysis between pages, theme extraction, and literary analysis of personal knowledge bases.

A TypeScript-based MCP server that implements a simple notes system, providing resources for accessing notes via URIs, tools for creating notes, and prompts for generating summaries.

An MCP server with RAG capabilities that provides AI clients secure access to local notes, documents, web pages, and task management tools for developer operational tasks. Features file operations, web scraping with content cleaning, and personal knowledge corpus search functionality.

A multi-modal AI toolbox based on Model Context Protocol, integrating Zhipu GLM, Pollinations.AI, SiYuan Notes, and Perplexity web search to enable image/video analysis, image/text/audio generation, note management, and intelligent web search.

An MCP server that provides tools, resources, and prompts for reading, writing, and summarizing research notes stored in a local flat-file database.

Provides full CRUD capabilities over Notion pages, databases, and content blocks, enabling natural language search, creation, and modification of Notion data.

Lets an AI assistant search and read the meetings recorded by Recordist on your own computer: transcripts, action items and notes. Local stdio server that talks only to the app's loopback API or its SQLite file; nothing leaves the machine.

Provides LLM clients with persistent memory tools for searching, reading, creating, and updating notes, retrieving backlinks, listing recent notes, and managing tasks using self-hosted MySQL storage.