by yepcode
YepCode MCP Server is an AI integration platform enabling LLM integrations to run scripts on YepCode and turning process
Connects AI assistants to YepCode's infrastructure to execute LLM-generated scripts and turn YepCode processes into AI-usable tools. Enables AI systems to directly control and interact with your YepCode workflows.
YepCode MCP Server is an official MCP server published by yepcode that provides AI assistants with tools and capabilities via the Model Context Protocol. YepCode MCP Server is an AI integration platform enabling LLM integrations to run scripts on YepCode and turning process It is categorized under developer tools.
You can install YepCode MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
YepCode MCP Server is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Useful MCP listing: YepCode MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.
YepCode MCP Server reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: YepCode MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.
YepCode MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: YepCode MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
YepCode MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, YepCode MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired YepCode MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, YepCode MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend YepCode MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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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.
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.
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
Get your YepCode API credentials:
Settings > API credentials to create a new API token.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"
}
}
}
}
docker build -t yepcode/mcp-server .
{
"mcpServers": {
"yepcode-mcp-server": {
"command": "docker",
"args": [
"run",
"-d",
"-e",
"YEPCODE_API_TOKEN=your_api_token_here",
"yepcode/mcp-server"
]
}
}
}
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.
The MCP server provides several tools to interact with YepCode's infrastructure:
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
}
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.
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 toolyc_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)execute_process_sync, get_execution,...)Process tags:
mcp-tool, core, automation, etc.)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 toolsYEPCODE_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 toolsYEPCODE_MCP_TOOLS=run_code,yc_api,core - Enables built-in tools plus all processes tagged with "core"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)
}
Removes an environment variable from the YepCode workspace.
// Input
{
key: string; // Name of the variable to remove
}
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.
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
}>;
}
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
}
Downloads a file from YepCode storage.
// Input
{
filename: string; // File path to download
}
// Response
{
filename: string; // File pa
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Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.