YepCode MCP Server▌
by yepcode
YepCode MCP Server is an AI integration platform enabling LLM integrations to run scripts on YepCode and turning process
An MCP server that enables AI platforms to interact with YepCode's infrastructure, allowing LLM-generated scripts to run on YepCode and turning YepCode processes into powerful tools that AI assistants can use directly.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / AI-driven workflow automation
- / Dynamic tool creation for AI assistants
- / Enterprise teams using YepCode with AI platforms
- / Developers building AI-integrated processes
capabilities
- / Execute LLM-generated scripts on YepCode infrastructure
- / Convert YepCode processes into AI assistant tools
- / Control YepCode workflows from AI platforms
- / Define tool parameters with JSON Schema
- / Run Python or Node.js code in isolated environments
what it does
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.
about
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.
how to install
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.
license
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.
readme

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:
- Sign up to YepCode Cloud
- Visit
Settings>API credentialsto 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
- Build the container image:
docker build -t yepcode/mcp-server .
- 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 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 (extendsyc_apiwith 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 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"
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 pa
---
FAQ
- What is the YepCode MCP Server MCP server?
- YepCode MCP Server is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for YepCode MCP Server?
- This profile displays 51 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★51 reviews- ★★★★★Dhruvi Jain· Dec 28, 2024
Useful MCP listing: YepCode MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Fatima Park· Dec 24, 2024
YepCode MCP Server reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Camila Tandon· Dec 20, 2024
Useful MCP listing: YepCode MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Emma Dixit· Dec 16, 2024
YepCode MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Emma Martin· Dec 16, 2024
Strong directory entry: YepCode MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Camila Verma· Dec 12, 2024
YepCode MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Oshnikdeep· Nov 19, 2024
According to our notes, YepCode MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Zara Ramirez· Nov 15, 2024
We wired YepCode MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Chinedu Park· Nov 11, 2024
According to our notes, YepCode MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Fatima Bansal· Nov 7, 2024
I recommend YepCode MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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