mcp-server-js

<div align="center">

</div>

What is YepCode MCP Server?

An MCP (Model Context Protocol) server that enables AI platforms to interact with YepCode's infrastructure. Run LLM-generated scripts and turn your YepCode processes into powerful tools that AI assistants can use directly. YepCode is the perfect environment to build a dynamic MCP tools server: expose each process as a tool (with OAuth, API tokens, or your credentials), define each tool's parameters with JSON Schema for full flexibility, and implement tools in Python or Node.js—all in one server that mixes multiple languages.

Why YepCode MCP Server?

• Seamless AI Integration: Convert YepCode processes into AI-ready tools with zero configuration
• Real-time Process Control: Enable direct interaction between AI systems and your workflows
• Enterprise-Grade Security: Execute code in YepCode's isolated, production-ready environments
• Universal Compatibility: Integrate with any AI platform supporting the Model Context Protocol

YepCode: The Perfect Environment for a Dynamic MCP Tools Server

YepCode is built to be the ideal platform for running a dynamic MCP tools server:

• One process, one tool: Each YepCode process can be exposed as an MCP tool. Tag your processes (e.g. mcp-tool, core, automation) and they become tools that AI assistants can invoke. You can secure access with OAuth, API tokens, or your existing YepCode credentials—each tool runs in your workspace with the same security model.

• Full control over tool parameters: Every tool can define its own parameter schema as JSON Schema. You get complete flexibility to describe inputs (types, descriptions, required fields, enums, defaults, etc.), so the AI receives rich metadata and can call your tools correctly.

• Polyglot tool implementations: Implement tools in Python or Node.js (or both). The same MCP server can expose tools backed by different runtimes—think of it as one MCP server that mixes implementations across several languages.

For complete documentation, see the YepCode MCP Server docs.

Installation

This package lets you run the YepCode MCP server locally or in your own infrastructure (NPX, Docker, or custom deployment). Integrate it with AI platforms like Cursor or Claude Desktop.

Tip: From your YepCode account you also have access to a hosted MCP server that doesn't require local installation. The connection URL is always: https://cloud.yepcode.io/mcp

Prerequisites

Get your YepCode API credentials:

1. Sign up to YepCode Cloud
2. Visit Settings > API credentials to create a new API token.

Using NPX

Make sure you have Node.js installed (version 18 or higher), and use a configuration similar to the following:

{
  "mcpServers": {
    "yepcode-mcp-server": {
      "command": "npx",
      "args": ["-y", "@yepcode/mcp-server"],
      "env": {
        "YEPCODE_API_TOKEN": "your_api_token_here"
      }
    }
  }
}

Using Docker

1. Build the container image:

docker build -t yepcode/mcp-server .

2. Use a configuration similar to the following:

{
  "mcpServers": {
    "yepcode-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-d",
        "-e",
        "YEPCODE_API_TOKEN=your_api_token_here",
        "yepcode/mcp-server"
      ]
    }
  }
}

Debugging

Debugging MCP servers can be tricky since they communicate over stdio. To make this easier, we recommend using the MCP Inspector, which you can run with the following command:

npm run inspector

This will start a server where you can access debugging tools directly in your browser.

YepCode MCP Tools Reference

The MCP server provides several tools to interact with YepCode's infrastructure:

Code Execution

run_code

Executes code in YepCode's secure environment.

// Input
{
  code: string;                          // The code to execute
  options?: {
    language?: string;                   // Programming language (default: 'javascript')
    comment?: string;                    // Execution context
    settings?: Record<string, unknown>;  // Runtime settings
  }
}

// Response
{
  returnValue?: unknown;                 // Execution result
  logs?: string[];                       // Console output
  error?: string;                        // Error message if execution failed
}

MCP Options

YepCode MCP server supports the following options:

• runCodeCleanup: Skip the run_code cleanup. By default, run_code processes source code is removed after execution. If you want to keep it for audit purposes, you can use this option.
• skipCodingRules: Skip including coding rules in the run_code tool definition. By default, JavaScript and Python coding rules from YepCode documentation are included in the tool schema to guide AI-generated code. If you want to skip this for faster tool initialization or smaller tool definitions, you can use this option.

Options can be passed as a comma-separated list in the YEPCODE_MCP_OPTIONS environment variable.

Tool Selection

You can control which tools are enabled by setting the YEPCODE_MCP_TOOLS environment variable with a comma-separated list of tool categories and process tags:

Built-in tool categories:

• run_code: Enables the code execution tool
• yc_api: Enables all basic API management tools (processes, schedules, variables, storage, executions, modules)
• yc_api_full: Enables all API management tools including version-related tools (extends yc_api with additional process and module version management tools)
• any specific API tool name (e.g., execute_process_sync, get_execution,...)

Process tags:

• Any tag used in your YepCode processes (e.g., mcp-tool, core, automation, etc.)
• When you specify a process tag, all processes with that tag will be exposed as individual MCP tools
• Process tools will be named using the process slug (or prefixed with yc_ and the process ID if the name is longer than 60 characters)

If not specified, all built-in tools are enabled by default, but no process tools will be exposed.

// NPX configuration with options
{
  "mcpServers": {
    "yepcode-mcp-server": {
      "command": "npx",
      "args": ["-y", "@yepcode/mcp-server"],
      "env": {
        "YEPCODE_API_TOKEN": "your_api_token_here",
        "YEPCODE_MCP_OPTIONS": "runCodeCleanup,skipCodingRules",
        "YEPCODE_MCP_TOOLS": "run_code,yc_api,mcp-tool,core"
      }
    }
  }
}

Example scenarios:

• YEPCODE_MCP_TOOLS=run_code,yc_api - Enables built-in code execution and basic API management tools
• YEPCODE_MCP_TOOLS=run_code,yc_api_full - Enables built-in code execution and all API management tools (including version management)
• YEPCODE_MCP_TOOLS=core,automation - Only exposes processes tagged with "core" or "automation" as tools
• YEPCODE_MCP_TOOLS=run_code,yc_api,core - Enables built-in tools plus all processes tagged with "core"

Environment Management

set_env_var

Sets an environment variable in the YepCode workspace.

// Input
{
  key: string;                           // Variable name
  value: string;                         // Variable value
  isSensitive?: boolean;                 // Whether to mask the value in logs (default: true)
}

remove_env_var

Removes an environment variable from the YepCode workspace.

// Input
{
  key: string;                           // Name of the variable to remove
}

Storage Management

YepCode provides a built-in storage system that allows you to upload, list, download, and delete files. These files can be accessed from your code executions using the yepcode.storage helper methods.

list_files

Lists all files in your YepCode storage.

// Input
{
  prefix?: string;                       // Optional prefix to filter files
}

// Response
{
  files: Array<{
    filename: string;                    // File name or path
    size: number;                        // File size in bytes
    lastModified: string;                // Last modification date
  }>;
}

upload_file

Uploads a file to YepCode storage.

// Input
{
  filename: string;                      // File path (e.g., 'file.txt' or 'folder/file.txt')
  content: string | {                   // File content
    data: string;                        // Base64 encoded content for binary files
    encoding: "base64";
  };
}

// Response
{
  success: boolean;                      // Upload success status
  filename: string;                      // Uploaded file path
}

download_file

Downloads a file from YepCode storage.

// Input
{
  filename: string;                      // File path to download
}

// Response
{
  filename: string;                      // File path
  content: string;                       // File content (base64 for binary files)
  encoding?: string;                     // Encoding type if binary
}

delete_file

Deletes a file from YepCode storage.

// Input
{
  filename: string;                      // File path to delete
}

// Response
{
  success: boolean;                      // Deletion success status
  filename: string;                      // Deleted file path
}

Process Execution

The MCP server can expose your YepCode Processes as individual MCP tools, making them directly accessible to AI assistants. This feature is enabled by specifying process tags in the YEPCODE_MCP_TOOLS environment variable.

How it works:

1. Tag your YepCode processes with any tag (e.g., core, api, automation, mcp-tool, etc.)
2. Add those tags to the YEPCODE_MCP_TOOLS environment variable
3. All processes with the specified tags will be exposed as individual MCP tools

There will be a tool for each exposed process named using the process slug (or prefixed with yc_ and the process ID if the tool name is longer than 60 characters).

For more information about process tags, see our process tags documentation.

<process_slug>

// Input
{
  parameters?: any;                      // This should match the input parameters specified in the process
  options?: {
    tag?: string;                        // Process version to execute
    comment?: string;                    // Execution context
  };
  synchronousExecution?: boolean;        // Whether to wait for completion (default: true)
}

// Response (synchronous execution)
{
  executionId: string;                   // Unique execution identifier
  logs: string[];                        // Process execution logs
  returnValue?: unknown;                 // Process output
  error?: string;                        // Error message if execution failed
}

// Response (asynchronous