"Understanding or finding information about cursors" matching MCP servers:

Enables AI agents to maintain persistent, inspectable understanding through typed, revisable updates, and to coordinate multi-agent work via shared graph-based stigmergy.

Enables AI agents to analyze videos and images using Qwen3-VL deployed on Modal, supporting hours-long videos with timestamp grounding, text extraction, video summarization, and Q\&A with 256K context window.

Enables agents to get fast, calibrated probabilistic answers from Jev (Typesafe AI) to yes/no, scale, or choice questions about provided material, without using a generative model.

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables AI agents to act as providers or clients on the Nayori Bitcoin commerce marketplace on Stacks mainnet, including registering, finding and applying to jobs, submitting deliverables, and getting paid in sBTC.

Reference MCP server for the mcp-longjobs library: durable long-running tasks with progress polling, mid-flight input, and cooperative cancellation, plus chunked file transfers with resume cursors and sha256 verification. Works on every MCP client today — no Tasks-extension support required.

A Model Context Protocol (MCP) server that enables AI assistants to perform comprehensive file operations including finding, reading, writing, editing, searching, moving, and copying files with security validations.

Enables local job-search automation, from finding and scoring postings to drafting tailored CVs and cover letters, compiling PDFs, and tracking applications through your AI assistant.

Empower LLMs with fine-grained visual understanding — detect, localize, and describe anything in images with natural language prompts.

A Model Context Protocol server that converts Markdown content into interactive mindmaps, allowing AI assistants to visualize hierarchical information through either HTML content or saved files.

Maximizes AI agent context window by enabling compact code reading and editing, reducing tokens by 40% for deeper codebase understanding.

Provides seamless access to Grok AI's capabilities (chat completion, image understanding, and function calling) directly from Cline via the Model Context Protocol.

Enables cleaning and sanitizing prompts through an LLM-powered tool that removes sensitive information, provides structured feedback with notes and risks, and normalizes prompt formatting. Supports configurable local or remote OpenAI-compatible APIs with automatic secret redaction.

Enables self-driving LinkedIn prospecting from AI assistants, including finding leads, warming them up, inviting them, and opening conversations, with human approval required before any message is sent.

Enables asynchronous two-way messaging between Codex Desktop tasks and Claude Desktop Code sessions on Windows, allowing either side to share information, questions, or updates through MCP tools.

Generates personalized music playlists based on mood analysis using AI sentiment detection and emoji understanding. Integrates with Last.fm API to create playlists with multi-language support and provides streaming links for Spotify, Apple Music, and YouTube.

An autonomous MCP server providing project-centric context awareness through keyword analysis, relationship graphs, and structured metadata retrieval. It enables intelligent codebase understanding and task management workflows by continuously learning from development patterns and conversations.

An MCP server with real AI capabilities (OpenAI/Anthropic) for natural language understanding, multi-step planning, and autonomous task execution, enabling intelligent file analysis, weather-based planning, and more.

Provides AI assistants with tools to query, manipulate, and analyze Deep State Representation (DSR) graphs for robot perception and scene understanding.