interactive-mcp
Enable interactive, local communication between LLMs and users via MCP.
Key Features
Use Cases
README
interactive-mcp
A MCP Server implemented in Node.js/TypeScript, facilitating interactive communication between LLMs and users. Note: This server is designed to run locally alongside the MCP client (e.g., Claude Desktop, VS Code), as it needs direct access to the user's operating system to display notifications and command-line prompts.
(Note: This project is in its early stages.)
Want a quick overview? Check out the introductory blog post: Stop Your AI Assistant From Guessing — Introducing interactive-mcp
Tools
This server exposes the following tools via the Model Context Protocol (MCP):
request_user_input: Asks the user a question and returns their answer. Can display predefined options.message_complete_notification: Sends a simple OS notification.start_intensive_chat: Initiates a persistent command-line chat session.ask_intensive_chat: Asks a question within an active intensive chat session.stop_intensive_chat: Closes an active intensive chat session.
Demo
Here are demonstrations of the interactive features:
| Normal Question | Completion Notification |
|---|---|
| Intensive Chat Start | Intensive Chat End |
|---|---|
Usage Scenarios
This server is ideal for scenarios where an LLM needs to interact directly with the user on their local machine, such as:
- Interactive setup or configuration processes.
- Gathering feedback during code generation or modification.
- Clarifying instructions or confirming actions in pair programming.
- Any workflow requiring user input or confirmation during LLM operation.
Client Configuration
This section explains how to configure MCP clients to use the interactive-mcp server.
By default, user prompts will time out after 30 seconds. You can customize server options like timeout or disabled tools by adding command-line flags directly to the args array when configuring your client.
Please make sure you have the npx command available.
Usage with Claude Desktop / Cursor
Add the following minimal configuration to your claude_desktop_config.json (Claude Desktop) or mcp.json (Cursor):
{
"mcpServers": {
"interactive": {
"command": "npx",
"args": ["-y", "interactive-mcp"]
}
}
}
With specific version
{
"mcpServers": {
"interactive": {
"command": "npx",
"args": ["-y", "interactive-mcp@1.9.0"]
}
}
}
Example with Custom Timeout (30s):
{
"mcpServers": {
"interactive": {
"command": "npx",
"args": ["-y", "interactive-mcp", "-t", "30"]
}
}
}
Usage with VS Code
Add the following minimal configuration to your User Settings (JSON) file or .vscode/mcp.json:
{
"mcp": {
"servers": {
"interactive-mcp": {
"command": "npx",
"args": ["-y", "interactive-mcp"]
}
}
}
}
macOS Recommendations
For a smoother experience on macOS using the default Terminal.app, consider this profile setting:
- (Shell Tab): Under "When the shell exits" (Terminal > Settings > Profiles > [Your Profile] > Shell), select "Close if the shell exited cleanly" or "Close the window". This helps manage windows when the MCP server starts and stops.
Development Setup
This section is primarily for developers looking to modify or contribute to the server. If you just want to use the server with an MCP client, see the "Client Configuration" section above.
Prerequisites
- Node.js: Check
package.jsonfor version compatibility. - pnpm: Used for package management. Install via
npm install -g pnpmafter installing Node.js.
Installation (Developers)
-
Clone the repository:
bashgit clone https://github.com/ttommyth/interactive-mcp.git cd interactive-mcp -
Install dependencies:
bashpnpm install
Running the Application (Developers)
pnpm start
Command-Line Options
The interactive-mcp server accepts the following command-line options. These should typically be configured in your MCP client's JSON settings by adding them directly to the args array (see "Client Configuration" examples).
| Option | Alias | Description |
|---|---|---|
--timeout |
-t |
Sets the default timeout (in seconds) for user input prompts. Defaults to 30 seconds. |
--disable-tools |
-d |
Disables specific tools or groups (comma-separated list). Prevents the server from advertising or registering them. Options: request_user_input, message_complete_notification, intensive_chat. |
Example: Setting multiple options in the client config args array:
// Example combining options in client config's "args":
"args": [
"-y", "interactive-mcp",
"-t", "30", // Set timeout to 30 seconds
"--disable-tools", "message_complete_notification,intensive_chat" // Disable notifications and intensive chat
]
Development Commands
- Build:
pnpm build - Lint:
pnpm lint - Format:
pnpm format
Guiding Principles for Interaction
When interacting with this MCP server (e.g., as an LLM client), please adhere to the following principles to ensure clarity and reduce unexpected changes:
- Prioritize Interaction: Utilize the provided MCP tools (
request_user_input,start_intensive_chat, etc.) frequently to engage with the user. - Seek Clarification: If requirements, instructions, or context are unclear, always ask clarifying questions before proceeding. Do not make assumptions.
- Confirm Actions: Before performing significant actions (like modifying files, running complex commands, or making architectural decisions), confirm the plan with the user.
- Provide Options: Whenever possible, present the user with predefined options through the MCP tools to facilitate quick decisions.
You can provide these instructions to an LLM client like this:
# Interaction
- Please use the interactive MCP tools
- Please provide options to interactive MCP if possible
# Reduce Unexpected Changes
- Do not make assumption.
- Ask more questions before executing, until you think the requirement is clear enough.
Contributing
Contributions are welcome! Please follow standard development practices. (Further details can be added later).
License
MIT (See LICENSE file for details - if applicable, or specify license directly).
Star History
Repository Owner
User
Repository Details
Programming Languages
Tags
Topics
Join Our Newsletter
Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.
Related MCPs
Discover similar Model Context Protocol servers
MCP Manager for Claude Desktop
A desktop app to manage Model Context Protocol (MCP) servers for Claude Desktop on MacOS.
MCP Manager for Claude Desktop provides a user-friendly interface to manage Model Context Protocol (MCP) servers, enabling Claude to access private data, APIs, and local or remote services securely from a MacOS desktop. It facilitates rapid configuration and integration with a wide variety of MCP servers, including productivity tools, databases, and web APIs. The app runs locally to ensure data privacy and streamlines connecting Claude to new sources through simple environment and server settings management.
- ⭐ 270
- MCP
- zueai/mcp-manager
mcp-cli
A command-line inspector and client for the Model Context Protocol
mcp-cli is a command-line interface tool designed to interact with Model Context Protocol (MCP) servers. It allows users to run and connect to MCP servers from various sources, inspect available tools, resources, and prompts, and execute commands non-interactively or interactively. The tool supports OAuth for various server types, making integration and automation seamless for developers working with MCP-compliant servers.
- ⭐ 391
- MCP
- wong2/mcp-cli
MCP CLI
A powerful CLI for seamless interaction with Model Context Protocol servers and advanced LLMs.
MCP CLI is a modular command-line interface designed for interacting with Model Context Protocol (MCP) servers and managing conversations with large language models. It integrates with the CHUK Tool Processor and CHUK-LLM to provide real-time chat, interactive command shells, and automation capabilities. The system supports a wide array of AI providers and models, advanced tool usage, context management, and performance metrics. Rich output formatting, concurrent tool execution, and flexible configuration make it suitable for both end-users and developers.
- ⭐ 1,755
- MCP
- chrishayuk/mcp-cli
iterm-mcp
MCP server for sharing and controlling your iTerm session with AI models.
iterm-mcp is a Model Context Protocol (MCP) server that enables AI models to access, inspect, and control an active iTerm terminal session. It allows models to read terminal output, write commands, interact with REPLs, and send control characters directly to the terminal. Designed for efficient token usage and seamless integration with desktop AI clients like Claude Desktop, iterm-mcp can be installed easily and comes with minimal dependencies. The tool emphasizes user oversight and provides debugging support through the MCP Inspector.
- ⭐ 481
- MCP
- ferrislucas/iterm-mcp
MCP Notify Server
Send desktop notifications with sound for completed agent/LLM tasks using the MCP protocol.
MCP Notify Server provides system desktop notifications and sound alerts when AI agent tasks or LLM jobs finish. Built on the standard Model Context Protocol, it is cross-platform and designed for smooth integration with clients like Claude Desktop, Cursor, and VSCode. This tool leverages the Apprise API for notification delivery and includes configuration details for easy adoption across popular AI/LLM development environments.
- ⭐ 39
- MCP
- Cactusinhand/mcp_server_notify
mcp-server-commands
Expose safe shell command execution as an MCP server for LLM tooling.
mcp-server-commands exposes a server that provides a 'run_command' tool for local or remote large language models (LLMs) via the Model Context Protocol (MCP). It enables LLMs to execute shell commands, retrieve STDOUT and STDERR, and optionally pass data through stdin. The tool integrates with apps like Claude Desktop and Groq Desktop, and can be run via npm or as a local build, with security in mind.
- ⭐ 207
- MCP
- g0t4/mcp-server-commands
Didn't find tool you were looking for?