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MCP Bundler Service

A microservice for bundling MCP servers from GitHub repositories and preparing it for deployment.

#mcp-bundler#microservice
Created by highlight-ing2025/03/28
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What is MCP Bundler Service?

what is MCP Bundler? MCP Bundler is a microservice designed to bundle code from GitHub repositories and prepare it for deployment, supporting both direct returns of bundled code and uploads to Google Cloud Storage. how to use MCP Bundler? To use MCP Bundler, install the dependencies using pnpm install, start the development server with pnpm run dev, and access the API documentation at http://localhost:8080/docs. key features of MCP Bundler? GitHub Integration for bundling code from public repositories Output format options: ESM (mjs) or CommonJS (cjs) Commit pinning for reproducible builds Optional upload of bundled code to Google Cloud Storage Interactive API documentation with Swagger UI Comprehensive error handling with appropriate status codes use cases of MCP Bundler? Bundling code for deployment from GitHub repositories. Integrating with Google Cloud Storage for further deployment processes. Facilitating CI/CD pipelines by providing bundled code directly. FAQ from MCP Bundler? Can MCP Bundler handle private repositories? No, MCP Bundler currently only supports public GitHub repositories. Is there a timeout for bundling large repositories? Yes, repository bundling has a 5-minute timeout limit. How do I disable GCP uploads? Set the environment variable DISABLE_GCP_INTEGRATION=true to disable GCP uploads.

As an MCP (Model Context Protocol) server, MCP Bundler Service enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use MCP Bundler Service

To use MCP Bundler, install the dependencies using pnpm install, start the development server with pnpm run dev, and access the API documentation at http://localhost:8080/docs. key features of MCP Bundler? GitHub Integration for bundling code from public repositories Output format options: ESM (mjs) or CommonJS (cjs) Commit pinning for reproducible builds Optional upload of bundled code to Google Cloud Storage Interactive API documentation with Swagger UI Comprehensive error handling with appropriate status codes use cases of MCP Bundler? Bundling code for deployment from GitHub repositories. Integrating with Google Cloud Storage for further deployment processes. Facilitating CI/CD pipelines by providing bundled code directly. FAQ from MCP Bundler? Can MCP Bundler handle private repositories? No, MCP Bundler currently only supports public GitHub repositories. Is there a timeout for bundling large repositories? Yes, repository bundling has a 5-minute timeout limit. How do I disable GCP uploads? Set the environment variable DISABLE_GCP_INTEGRATION=true to disable GCP uploads.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like MCP Bundler Service can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP Bundler Service provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.