Bult.ai Mcp Server
About
Deploy and manage Bult.ai cloud hosting projects from MCP clients like Cursor, Claude Desktop, and Claude Code. Create projects and services, deploy GitHub repositories or Docker images, manage routes and volumes, inspect logs, and troubleshoot deployments from your AI assistant.
Details
- Author
- bultcloud
- Downloads
- 269
- Categories
- Cloud Service, Infrastructure, Other, Developer Tools, AI
Jump to
- Create and manage Bult projects
- Deploy GitHub repositories and Docker images
- Create and manage services
- Create public routes for deployed services
- Manage volumes
- View deployment and service logs
- Troubleshoot failed deployments
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Bult.ai Mcp ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install by adding a JSON configuration to your MCP client settings, using npx -y @bultcloud/mcp-server as the command and setting the environment variables BULT_API_URL and BULT_API_TOKEN.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"bult.ai mcp server": {
"bult": {
"command": "npx",
"args": [
"-y",
"@bultcloud/mcp-server"
],
"env": {
"BULT_API_URL": "https://app.bult.ai",
"BULT_API_TOKEN": "your_bult_api_token"
}
}
}
}
}McpServers
{
"bult": {
"command": "npx",
"args": [
"-y",
"@bultcloud/mcp-server"
],
"env": {
"BULT_API_URL": "https://app.bult.ai",
"BULT_API_TOKEN": "your_bult_api_token"
}
}
}Bult.ai MCP Server lets Claude Desktop deploy and manage Bult.ai cloud hosting resources, including projects, services, GitHub and Docker deployments, routes, volumes, templates, logs, and build history.
Official Model Context Protocol (MCP) server forBult.ai, a DevOps platform and cloud hosting Platform-as-a-Service for deploying apps, GitHub repositories, Docker images, databases, and services with AI agents.
Use Bult MCP with Claude Desktop, Claude Code, Cursor, Codex, and other MCP-compatible clients to deploy apps, manage cloud infrastructure, inspect logs, and troubleshoot deployments through the Bult API.
- Deploy GitHub repositories, Docker images, databases, and app services from MCP-compatible AI agents.
- Project lifecycle tools: list, inspect, create, update, delete, deploy, start, stop, and discard changes.
- Service management for daemon and database services, including Docker image and Git-based deployments.
- Persistent volumes, route/domain mappings, templates, service logs, and build history.
- MCP tool annotations for read-only, idempotent, and destructive operations where supported.
- Works over stdio with Claude Desktop, Claude Code, Cursor, Google Antigravity and other MCP-compatible clients.
Use Bult MCP when you want an AI coding agent to deploy and operate cloud hosting resources for you. Common workflows include deploying a GitHub repo from Cursor, deploying the current project from Claude Code, launching a Docker image, creating a database service, adding a public route, checking build logs, and debugging failed deployments.
If you install the package globally, use thebult-mcpbinary:
npm install -g @bultcloud/mcp-server bult-mcp
You can also run it withnpxfrom MCP client configs:
The server reads its configuration from environment variables.
The server exits during startup if either variable is missing.
Add the server toclaude_desktop_config.json.
{ "mcpServers": { "bult": { "command": "npx", "args": ["-y", "@bultcloud/mcp-server"], "env": { "BULT_API_URL": "https://app.bult.ai", "BULT_API_TOKEN": "your-token" } } } }
claude mcp add bult \ -e BULT_API_URL=https://app.bult.ai \ -e BULT_API_TOKEN=your-token \ -- npx -y @bultcloud/mcp-server
codex mcp add \ --env BULT_API_URL=https://app.bult.ai \ --env BULT_API_TOKEN=your-token \ bult \ -- npx -y @bultcloud/mcp-server
- Deploy this GitHub repo to Bult and give me the public URL.
- Deploy the current project to Bult.
- Check why my deployment failed.
- Show the latest logs for my app.
- Set DATABASE_URL and restart the service.
- Deploy this Docker image to Bult.
- List my Bult projects and services.
npm run dev # run with tsx, no build step npm run build # compile TypeScript to dist/ npm run lint # type-check without emitting files
src/index.ts MCP server entrypoint src/client.ts Bult API client src/tools/*.ts MCP tool registrations by resource type
BULT_API_TOKENgrants access to your Bult resources. Keep it out of source control, shell history, issue reports, and screenshots. Prefer scoped or rotatable tokens when available.
Some tools can create, delete, deploy, stop, or wipe resources. Review tool calls from your MCP client before approving destructive actions.
This MCP server connects your MCP client to Bult.ai using the API token you provide. Requests are sent to Bult.ai to perform actions such as listing projects, deploying services, managing routes and volumes, and reading logs.
The server does not store your API token. Tokens are passed through your MCP client configuration or extension settings. For Bult.ai data handling practices, see theBult.ai Privacy Policy.
Issues and pull requests are welcome atgithub.com/bultcloud/mcp-server.
This project is licensed under theMIT License.
A CLI tool to automate packaging MCP servers as Docker images and deploying them to AWS ECS.
Create, build, deploy, and manage Netlify resources using natural language.
European cloud hosting. Use your favorite AI coding assistant to easily deploy and manage apps on Ploi Cloud.
Simplifies framework deployments on various hosting environments, with a focus on shared hosting.
Expose the entire ArgoCD API to LLMs via MCP using just 2 auto-generated tools powered by the OpenAPI spec.
Integrate with the Coolify API to manage your servers, applications, and databases.
An MCP server for interacting with the Coolify API to manage servers and applications.
An MCP server for integrating with Coolify, the self-hostable alternative to Netlify and Vercel.
Provides direct access to CORTEX infrastructure for orchestration, monitoring, AI flow management, model routing, and Docker administration.
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
