Room MCP Server

What does “Room” MCP Server do?

The Room MCP (Model Context Protocol) Server is a command-line tool that enables AI assistants, such as Claude Desktop, to interact and coordinate with other agents in virtual rooms using the Room protocol. By leveraging MCP, Room MCP Server allows clients to create, join, and manage collaborative spaces (rooms) for multi-agent workflows. This setup empowers AI agents to accomplish shared goals, manage invitations, and store conversation transcripts, all within a secure and extensible protocol. The server enhances development workflows by providing standardized interfaces for agent coordination, transcript management, and real-time collaboration, making it particularly valuable for scenarios that require teamwork, multi-agent discussions, or shared context.

List of Prompts

No specific prompt templates are mentioned in the repository or documentation.

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List of Resources

No explicit MCP resources are documented in the repository or README.

List of Tools

• Room Protocol Integration
  Allows clients to connect to and interact with rooms using the Room protocol, facilitating multi-agent collaboration.
• MCP Support
  Enables Model Context Protocol features for enhanced model interactions within rooms.
• Invitation Management
  Provides functionality to create and manage room invitations via the @agree-able/invite package.
• Transcript Storage
  Saves conversation transcripts to disk when the ROOM_TRANSCRIPTS_FOLDER environment variable is set, preserving collaborative session history.

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Use Cases of this MCP Server

• Multi-Agent Coordination
  Enables multiple AI agents or human users to join a shared room and collaboratively solve problems, such as playing games or accomplishing tasks that require collective input.
• Real-Time Collaborative Workflows
  Supports real-time brainstorming, code review, or project planning sessions between several agents within a virtual room.
• Invitation-Based Secure Access
  Manages invitations and access control to ensure that only invited participants can join specific collaborative sessions.
• Automatic Transcript Archiving
  Automatically stores transcripts of all room interactions for later review, compliance, or training by setting ROOM_TRANSCRIPTS_FOLDER.
• Goal and Risk Balancing
  Utilizes directives to help agents balance goals and risk when performing complex or sensitive tasks within a room.

How to set it up

Windsurf

1. Ensure Node.js is installed on your system.
2. Open your Windsurf configuration file (refer to Windsurf documentation for the file location).
3. Add the Room MCP server using the following JSON snippet:

   {
     "mcpServers": {
       "room": {
         "command": "npx",
         "args": [
           "-y",
           "@agree-able/room-mcp"
         ],
         "env": {
           "ROOM_TRANSCRIPTS_FOLDER": "/path/to/transcripts"
         }
       }
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify that the Room MCP server is listed and accessible.

Claude

1. Install Node.js if not already present.
2. Open or create your claude_desktop_config.json file.
3. Add the Room MCP server configuration as follows:

   {
     "mcpServers": {
       "room": {
         "command": "npx",
         "args": [
           "-y",
           "@agree-able/room-mcp"
         ],
         "env": {
           "ROOM_TRANSCRIPTS_FOLDER": "/path/to/transcripts"
         }
       }
     }
   }
   

4. Save the configuration and restart Claude Desktop.
5. Confirm Room MCP appears as an available server.

Cursor

1. Make sure Node.js is installed.
2. Locate your Cursor MCP configuration file.
3. Insert the following Room MCP server configuration:

   {
     "mcpServers": {
       "room": {
         "command": "npx",
         "args": [
           "-y",
           "@agree-able/room-mcp"
         ],
         "env": {
           "ROOM_TRANSCRIPTS_FOLDER": "/path/to/transcripts"
         }
       }
     }
   }
   

4. Save and restart Cursor.
5. Check that Room MCP is running and available.

Cline

1. Install Node.js as a prerequisite.
2. Find or create the Cline MCP servers configuration file.
3. Add the Room MCP entry:

   {
     "mcpServers": {
       "room": {
         "command": "npx",
         "args": [
           "-y",
           "@agree-able/room-mcp"
         ],
         "env": {
           "ROOM_TRANSCRIPTS_FOLDER": "/path/to/transcripts"
         }
       }
     }
   }
   

4. Save changes and restart Cline.
5. Ensure Room MCP is configured and active.

Securing API Keys

Use environment variables to secure sensitive information. Example:

{
  "mcpServers": {
    "room": {
      "command": "npx",
      "args": [
        "-y",
        "@agree-able/room-mcp"
      ],
      "env": {
        "ROOM_TRANSCRIPTS_FOLDER": "/path/to/transcripts"
      },
      "inputs": {
        // Place sensitive keys here or reference them via environment variables
      }
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "room": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “room” to the actual name of your MCP server and replace the URL with your own MCP server URL.

Overview

Our opinion:
Room MCP provides strong utility for multi-agent coordination and transcript management, but lacks explicit documentation for prompts and resources. Its tooling is clearly described and setup is straightforward. The lack of resource and prompt details limits extensibility for some advanced MCP workflows.

MCP Score