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  1. Home
  2. ๐Ÿ› ๏ธ Other Tools and Integrations
  3. Interactive MCP
Interactive MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 4:45:34 PM

Interactive MCP

User RatingsBe the first to rate and review this MCP server!
View Repository352 GitHub StarsTotal stargazers on GitHub for the source repository (352 stars).Visit Website
interactivelocaluser-inputnotificationschat

Node.js MCP server enabling local user prompts and chat interactions within the MCP loop for interactive LLM workflows.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "ttommyth-interactive-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "interactive-mcp"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (5) Directory Badge Claim listing Alternatives๐Ÿ› ๏ธ More in Other Tools and Integrations

Overview

This MCP server facilitates interactive communication between large language models and users by adding local user prompts, OS notifications, and command-line chat capabilities directly into the MCP loop. It is designed to run locally alongside MCP clients, requiring access to the user's operating system to display prompts and notifications. Use this server when your LLM workflow needs real-time user input, confirmations, or interactive chat sessions on the local machine.

Use cases

โ€ขRequest user input during LLM workflows
โ€ขSend OS notifications upon task completion
โ€ขStart and manage persistent command-line chat sessions
โ€ขGather feedback during code generation or modification
โ€ขClarify instructions or confirm actions interactively

Key features

โ€ขPrompt user with questions and predefined options
โ€ขSend simple OS notifications
โ€ขStart, ask within, and stop intensive chat sessions
โ€ขConfigurable prompt timeout and tool enabling
โ€ขRuns locally with direct OS integration

Capabilities & Tool Schemas (5) ~91 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Interactive 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.

Documentation Overview

interactive-mcp

npm version npm downloads smithery badge GitHub license code style: prettier Platforms GitHub last commit

Install MCP Server

Screenshot 2025-05-13 213745

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 โ€” Introducing interactive-mcp

Demo Video

interactive-mcp MCP server

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 QuestionCompletion Notification
Normal Question DemoCompletion Notification Demo
Intensive Chat StartIntensive Chat End
Start Intensive Chat DemoEnd Intensive Chat Demo

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):

config.json
{
  "mcpServers": {
    "interactive": {
      "command": "npx",
      "args": ["-y", "interactive-mcp"]
    }
  }
}

With specific version

config.json
{
  "mcpServers": {
    "interactive": {
      "command": "npx",
      "args": ["-y", "interactive-mcp@1.9.0"]
    }
  }
}

Example with Custom Timeout (30s):

config.json
{
  "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:

config.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.json for version compatibility.
  • pnpm: Used for package management. Install via npm install -g pnpm after installing Node.js.

Installation (Developers)

  1. Clone the repository:

    bash
    git clone https://github.com/ttommyth/interactive-mcp.git
    cd interactive-mcp
    
  2. Install dependencies:

    bash
    pnpm install
    

Running the Application (Developers)

bash
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).

OptionAliasDescription
--timeout-tSets the default timeout (in seconds) for user input prompts. Defaults to 30 seconds.
--disable-tools-dDisables 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:

jsonc
// 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:

markdown
# 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).

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
352
Stargazers on the source repository.
npm downloads
156
Package downloads in the last 30 days.
Last commit
9mo ago
Most recent push to the default branch.
Tools exposed
5
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet โ€” be the first to share how this listing worked for you.

Frequently Asked Questions about Interactive MCP

Yes, it must run locally alongside the MCP client to access the user's OS for prompts and notifications.

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Technical Specs & Signals

Category๐Ÿ› ๏ธOther Tools and Integrations
PricingFree
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code
Last updatedAug 9, 2026
10/11 checks healthy over the last 32d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars352
GitHub Star CountTotal stargazers on GitHub representing community popularity (352 stars).
Last commit9mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Nov 20, 2025
npm downloads156/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
57Quality signal: Good ยท 57/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools26/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 22d ago via OSV.dev ยท interactive-mcp (npm)

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