"Notes and related content" matching MCP servers:

Enables AI agents to read tmux pane content on-demand, providing context-aware assistance during interactive terminal sessions.

Provides AI coding assistants with context optimization tools including targeted file analysis, intelligent terminal command execution with LLM-powered output extraction, and web research capabilities. Helps reduce token usage by extracting only relevant information instead of processing entire files and command outputs.

Enables Claude Desktop to interact with and view tmux session content, allowing AI assistants to read from, control, and observe terminal sessions.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

A lightweight server that exposes weather-related tools (get_coordinates and get_forecast) using the Modular Command Protocol, designed for integration with AI agents and LLMs.

MCP server for terminal operations and file editing, enabling AI assistants to manage files, run commands, and process large content with auto-chunking.

Enables LLMs to control a Linux server via multiple shell windows with background execution, notes, and sudo separation, allowing natural-language-driven system management and command execution.

Enables programmatic control of the WezTerm terminal emulator through the Model Context Protocol. It allows users to manage panes, tabs, and windows while reading terminal content or sending commands directly to the terminal environment.

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

Turn any CLI tool into an MCP server by leveraging its --help output, enabling natural language interaction with tools like gh, az, git, etc.

A server that manages conversation context for LLM interactions, storing recent prompts and providing relevant context for each user via REST API endpoints.

Combines KC Chat Panel session interaction with AgentDock computer control tools, enabling Cursor Cloud Agent to chat and operate the local machine via AgentDock.

Provides utilities for formatting multi-line shell commands with backslashes for safe pasting and reading system clipboard content.

Connects AI assistants to a Kali Linux terminal for executing security tools, managing interactive shell sessions, and performing penetration testing, CTF challenges, and security research tasks.

This MCP server enables AI agents to run a restricted set of Unix commands, manage files within a sandboxed working directory, apply patches, and fetch web content, providing controlled local automation without full shell access.

Lets ChatGPT Web act as the reasoning layer for an agent that runs shell commands, reads and writes files inside a constrained workspace, captures screenshots as image content, and controls the mouse and keyboard. It also keeps persistent Markdown memory and identity/skill context files that load automatically into the conversation.

Enables AI agents to safely perform file operations, run terminal sessions, manage processes, search content, and inspect Git repositories on a local Windows machine under configurable permission and audit controls.

Enables AI agents to remotely control multiple devices registered to the same account, executing system commands via the Remote Control Assistant desktop bridge.

Integrates nb command-line note-taking with Claude Code, enabling adding, listing, searching, and showing notes organized by project directory.

Enables execution of arbitrary CLI tools and shell scripts by defining them in YAML configuration files as MCP Tools. Supports custom shells (bash, Python, Node.js, Deno), input parameters passed as environment variables, and flexible timeout settings.