Connpass User MCP Server: Real-time Data Integration for AI Applications

Overview: What is Connpass User MCP Server?

The Connpass User MCP Server is a specialized MCP (Model Context Protocol) server designed to integrate advanced data retrieval functionalities from the popular event management platform, Connpass. This server empowers artificial intelligence applications like Claude Desktop, Continue, Cursor, and others by providing real-time access to user information, such as their participation history in events and groups.

🔧 Core Features & MCP Capabilities

The Connpass User MCP Server offers several key capabilities through the Model Context Protocol:

1. User Information Retrieval: Users can query detailed profiles, such as event engagement metrics (participation count, management count, etc.), using specific user nicknames.
2. Event Participation Overview: It provides comprehensive details about events a user has attended, including names, times, locations, and descriptions.
3. Presentation Events: Users can also inquire about the events they have presented at, obtaining similar detailed records.

⚙️ MCP Architecture & Protocol Implementation

The implementation of the Model Context Protocol in this server is designed to be seamless and easily integrable with various AI applications. The protocol flow diagram illustrates how an AI application (like Claude Desktop) interacts with the MCP client, which in turn communicates with both the Connpass User MCP Server and external data sources.

Mermaid Diagram: MCP Protocol Flow

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

The server's architecture is modular and scalable, allowing for easy integration with additional data sources or tools as needed.

🚀 Getting Started with Installation

Deno-based Setup (Recommended)

1. Connpass API Key Management: If you don't already have an API key from Connpass, sign up to receive one.
2. Clone the Repository:
   • git clone https://github.com/yourrepo/connpass-user-mcp-server.git
3. Set Up Environment Variables: Copy .env.example to .env, and configure the Connpass API key.

cp .env.example .env
# Edit .env file to set CONNPASS_API_KEY

4. Server Launch:

   "connpass-user-mcp-server": {
       "command": "wsl.exe",
       "args": [
           "/home/user/.deno/bin/deno",
           "--allow-net=connpass.com",
           "--env-file=/home/user/connpass-mcp-server/.env",
           "--allow-read",
           "--allow-env",
           "/home/user/connpass-mcp-server/index.ts"
       ]
   }
   

Node.js-based Setup

1. Install Dependencies:

npm ci

2. Build TypeScript: Run the build command.

npm run build

3. MCP Client Configuration: Indicate where to find the built files in your MCP client's configuration.

   "connpass-user-mcp-server": {
       "command": "wsl.exe",
       "args": [
           "/home/user/.local/share/mise/installs/node/22.14.0/bin/node",
           "--env-file=/home/user/connpass-mcp-server/.env",
           "/home/user/connpass-mcp-server/dist/index.js"
       ]
   }
   

Docker Setup

1. Build Docker Image:

docker build -t connpass-user-mcp-server .

2. Run the Image with API Key: Ensure environment variables are correctly set.

docker run -e CONNPASS_API_KEY=XXXXXXXXXXXXXXXX connpass-user-mcp-server

npx Setup (Not Recommended)

• This setup is not recommended due to potential security risks but can still be useful for quick trials:

  "connpass-user-mcp-server": {
      "command": "wsl.exe",
      "args": [
          "bash",
          "-c",
          "CONNPASS_API_KEY=XXXXXXXXXXXXXXXX /home/user/.local/share/mise/installs/node/22.14.0/bin/npx -y @yamanoku/connpass-user-mcp-server"
      ]
  }
  

💡 Key Use Cases in AI Workflows

Real-world scenarios where the Connpass User MCP Server can significantly enhance AI functionality include:

• Attendee Analysis: Automating the process of analyzing event attendee demographics and participant engagement.
• Event Organizer Assistance: Providing intelligent support for organizers to better understand user preferences and feedback from Connpass events.

🔌 Integration with MCP Clients

The following table highlights compatibility between the server and various MCP clients.

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

📊 Performance & Compatibility Matrix

The server is compatible with multiple platforms and environments, ensuring a robust MCP ecosystem. It supports Deno, Node.js (with TypeScript), Docker, and npx for various deployment needs.

🛠️ Advanced Configuration & Security

Advanced users may configure the environment variables or enhance security by tightening access controls. Key configurations include setting up environment variables and managing API keys securely.

❓ Frequently Asked Questions (FAQ)

1. How do I integrate Connpass User MCP Server with my AI application?

You can start by creating a Deno-based setup as shown in the README, ensuring you have a valid CONNPASS_API_KEY set up.

2. Is Docker integration supported for all users?

Yes, but it may require additional security measures to be implemented for production use.

3. Can I use npx for deployment without any drawbacks?

Using npx can introduce security risks, especially regarding the npm ecosystem's integrity and package versions, hence not recommended in production.

4. How do I secure my API keys during runtime?

Ensure that your environment variables are stored securely and that access controls on the server side limit who can interact with sensitive data.

5. Can this server be used for managing or updating user-related data on Connpass?

Yes, it supports retrieval of user data but does not offer direct updates; users should manage their own account information directly through Connpass's official services.

👨‍💻 Development & Contribution Guidelines

Contributions are welcome to improve and expand the functionality. Developers can contribute by submitting bug reports, implementing new features, or fixing existing issues. Please follow the contribution guidelines for instructions on how to set up your development environment and submit pull requests.

🌐 MCP Ecosystem & Resources

For developers interested in exploring more about Model Context Protocol (MCP) and its various applications, check out resources like the official MCP documentation and developer forums.

MCP Configuration Code Sample

{
  "mcpServers": {
    "[server-name]": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-[name]"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

By providing these details, the Connpass User MCP Server serves as a robust platform for integrating AI applications with real-time user data from Connpass effectively.