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yepcode avatar

yepcode/mcp-server-js

0
View on GitHub↗
44 stars·21 forks·TypeScript·MIT·3 viewsyepcode.io/mcp-server↗

Mcp Server Js

MCP server that exposes YepCode processes as callable tools for AI platforms. Securely connect AI assistants to your YepCode workflows, APIs, and automations.

Features

  • Code Execution Sandboxes - Scalable sandbox for executing LLM-generated code.
  • Developer Tools - Secure sandbox for executing LLM-generated code
  • Development & Execution - Secure sandbox for executing LLM-generated code.

Star history

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Frequently asked questions

What does yepcode/mcp-server-js do?

MCP server that exposes YepCode processes as callable tools for AI platforms. Securely connect AI assistants to your YepCode workflows, APIs, and automations.

What are the main features of yepcode/mcp-server-js?

The main features of yepcode/mcp-server-js are: Code Execution Sandboxes, Developer Tools, Development & Execution.

What are some open-source alternatives to yepcode/mcp-server-js?

Open-source alternatives to yepcode/mcp-server-js include: e2b-dev/mcp-server — Giving Claude ability to run code with E2B via MCP (Model Context Protocol). jetbrains/mcp-jetbrains — A model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with… biegehydra/bifrostmcp — VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs. 21st-dev/magic-mcp — Magic MCP is a Model Context Protocol server and AI component generator that translates natural language descriptions… getsentry/sentry-mcp — An MCP server for interacting with Sentry via LLMs. muvon/octocode — Semantic code searcher and codebase utility.

Open-source alternatives to Mcp Server Js

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    Magic MCP is a Model Context Protocol server and AI component generator that translates natural language descriptions into functional user interface code. It acts as an LLM design orchestrator, producing responsive web elements and layouts anchored on utility-first CSS styling patterns. The system features a side-by-side variation engine that generates multiple stylistic interpretations of a single prompt for comparative selection. It incorporates SVG-based asset integration for branding and iconography and utilizes template-based assembly to combine pre-defined style patterns with user-speci

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  • getsentry/sentry-mcpgetsentry avatar

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