Model Context Protocol (MCP)

Model Context Protocol (MCP) is an open-standard protocol that allows CoderX and the M0X IDE to expose external data sources and tools to LLMs. By acting as an MCP Client, CoderX enables you to plug in local databases, APIs, and microservices so that the AI agent can dynamically call them during a task run.

Supported MCP Integrations

You can connect any community-developed MCP server or write your own. Common integrations include:

Configuring MCP Servers

MCP servers are configured via a simple JSON configuration block. You can manage these settings in the Settings > Developer Settings > MCP panel or edit your local config file directly.

Configuration Template

Add the following to your MCP settings file to register local Node.js or Python servers:

{
  "mcpServers": {
    "postgresql": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-postgres",
        "postgresql://username:password@localhost:5432/my_database"
      ]
    },
    "github": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-github"
      ],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "your-github-token-here"
      }
    }
  }
}

Execution Security and Approvals

[!CAUTION] When an MCP server is configured, the agent has the ability to trigger database write operations or call external API endpoints.

To prevent unauthorized actions, CoderX enforces strict security boundaries:

• Permission Prompts: Before calling a tool provided by an MCP server (e.g. slack_post_message), the agent pauses and requests your explicit confirmation.
• Token Scoping: Ensure external API tokens configured in the environment variables (like your GitHub Token) are restricted only to the permissions the agent actually needs.