Skip to main content
Glama

@bldbl/mcp

Official MCP client for Buildable - AI-powered development platform that makes any project buildable

This package enables AI assistants (Claude, GPT, etc.) to work directly with Buildable projects using the Model Context Protocol (MCP). AI assistants can get project context, manage tasks, track progress, and communicate with human developers.

🌟 What is Buildable?

Buildable (bldbl.dev) is an AI-powered development platform that makes any project buildable. It provides:

  • AI-Generated Build Plans: Comprehensive project roadmaps with implementation details
  • Smart Task Management: Automated task breakdown with dependencies and priorities
  • AI Assistant Integration: Direct integration with Claude, GPT, and other AI assistants
  • Real-time Collaboration: Seamless human-AI collaboration on complex projects
  • Progress Tracking: Live monitoring of development progress and blockers

🚀 Features

  • Full Project Integration: Get complete project context, plans, and task details
  • Autonomous Task Management: Start, update progress, and complete tasks
  • Human Collaboration: Create discussions for questions and blockers
  • Real-time Progress Tracking: Live updates and status monitoring
  • Type-Safe API: Full TypeScript support with comprehensive type definitions
  • Claude Desktop Ready: CLI interface for seamless Claude Desktop integration

📦 Installation

Installing via Smithery

To install @bldbl/mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @buildable/bldbl-mcp --client claude

Manual Installation

npm install @bldbl/mcp

🚀 Quick Start

Step 1: Install the MCP Server

npm install -g @bldbl/mcp

Step 2: Get Your Buildable API Key

  1. Go to bldbl.dev and create an account
  2. Create or select a project
  3. Go to Project SettingsAI AssistantsGenerate API Key

Step 3: Configure Your AI Assistant

🤖 For Claude Desktop:

Add this to your Claude Desktop config file (~/.config/claude/claude_desktop_config.json):

{ "mcpServers": { "buildable": { "command": "npx", "args": ["-y", "@bldbl/mcp"], "env": { "BUILDABLE_API_KEY": "bp_your_api_key_here", "BUILDABLE_PROJECT_ID": "your-project-id", "BUILDABLE_AI_ASSISTANT_ID": "claude-desktop" } } } }

Minimal setup - only API URL is auto-detected.

✨ For Cursor AI:

Option 1: One-Click Setup (Recommended)

  1. Go to your project on bldbl.dev
  2. Navigate to Integrations
  3. Click "Add to Cursor" - Done! 🎉

Option 2: Manual Configuration Add this to your Cursor AI config file:

{ "mcpServers": { "buildable": { "command": "npx", "args": ["-y", "@bldbl/mcp"], "env": { "BUILDABLE_API_KEY": "bp_your_api_key_here", "BUILDABLE_PROJECT_ID": "your-project-id", "BUILDABLE_AI_ASSISTANT_ID": "cursor-ide" } } } }

Minimal setup - only API URL is auto-detected.

Step 4: Start AI-Powered Development!

Once configured, your AI assistant has access to these powerful tools:

  • 🏗️ get_project_context - Understand your entire project structure
  • 📋 get_next_task - Find what to work on next based on priorities
  • ▶️ start_task - Begin working on a specific task
  • 📊 update_progress - Report detailed progress updates
  • complete_task - Mark tasks finished with comprehensive notes
  • 💬 create_discussion - Ask questions when you need human input
  • 🔍 health_check - Verify connection to Buildable

💡 Example AI Conversation:

You: "What should I work on next in my project?" AI: *calls get_project_context & get_next_task* "I see you're building a React dashboard app. The next high-priority task is 'Implement user authentication'. Should I start working on it?" You: "Yes, go ahead!" AI: *calls start_task* "Perfect! I'm starting the authentication task. I'll use NextAuth.js with GitHub OAuth. Let me break this down: 1. Install dependencies 2. Set up NextAuth config 3. Create login/logout components 4. Add protected routes I'll update you on progress as I work!" [AI works and calls update_progress periodically] AI: *calls update_progress* "Progress update: 75% complete! I've implemented: ✅ NextAuth.js configuration ✅ GitHub OAuth provider setup ✅ Login/logout components 🔄 Currently working on: Protected route middleware Should I continue with the remaining work?"

🔧 Advanced Configuration

Environment Variables

3 environment variables are recommended for proper AI assistant tracking:

export BUILDABLE_API_KEY="bp_your_api_key_here" # Your API key (required) export BUILDABLE_PROJECT_ID="your-project-id" # Target project (required) export BUILDABLE_AI_ASSISTANT_ID="my-ai-assistant" # AI Assistant ID (recommended) # Optional (has smart default): # export BUILDABLE_API_URL="https://bldbl.dev/api" # API endpoint (default)

Why AI Assistant ID matters: This helps you track which AI assistant is doing what work in your project dashboard.

CLI Usage

You can also run the MCP server directly:

# Install globally and use bldbl command npm install -g @bldbl/mcp bldbl # Or run with npx (no installation needed) npx @bldbl/mcp

Multiple Projects

To work with multiple Buildable projects, create different MCP server configs:

{ "mcpServers": { "buildable-frontend": { "command": "npx", "args": ["-y", "@bldbl/mcp"], "env": { "BUILDABLE_API_KEY": "bp_frontend_key_here", "BUILDABLE_PROJECT_ID": "frontend-project-id", "BUILDABLE_AI_ASSISTANT_ID": "claude-frontend" } }, "buildable-backend": { "command": "npx", "args": ["-y", "@bldbl/mcp"], "env": { "BUILDABLE_API_KEY": "bp_backend_key_here", "BUILDABLE_PROJECT_ID": "backend-project-id", "BUILDABLE_AI_ASSISTANT_ID": "claude-backend" } } } }

🛠️ API Reference

BuildPlannerMCPClient

The main client class for interacting with Buildable projects.

Constructor
new BuildPlannerMCPClient(config: BuildPlannerConfig, options?: ClientOptions)

Config Parameters:

  • apiUrl: Buildable API URL (defaults to 'https://bldbl.dev/api')
  • apiKey: Your Buildable API key (starts with 'bp_')
  • projectId: Target project ID
  • aiAssistantId: Unique identifier for your AI assistant
  • timeout: Request timeout in milliseconds (default: 30000)

Options:

  • retryAttempts: Number of retry attempts (default: 3)
  • retryDelay: Delay between retries in ms (default: 1000)
Methods
getProjectContext(): Promise<ProjectContext>

Get complete project context including plan, tasks, and recent activity.

getNextTask(): Promise<NextTaskResponse>

Get the next recommended task to work on based on dependencies and priority.

startTask(taskId: string, options?: StartTaskOptions): Promise<StartTaskResponse>

Start working on a specific task with optional approach and timing estimates.

updateProgress(taskId: string, progress: ProgressUpdate): Promise<ProgressResponse>

Update progress on the current task with detailed status information.

completeTask(taskId: string, completion: CompleteTaskRequest): Promise<CompleteTaskResponse>

Mark a task as completed with detailed completion information.

createDiscussion(discussion: CreateDiscussionRequest): Promise<DiscussionResponse>

Create a discussion/question for human input when you need guidance.

healthCheck(): Promise<{status: string, timestamp: string}>

Check connectivity and health of the Buildable API.

disconnect(): Promise<void>

Properly disconnect and cleanup the client connection.

🔐 Authentication

  1. Generate API Key: Go to your Buildable project → AI Assistant tab → Generate API Key
  2. Secure Storage: Store your API key securely (environment variables recommended)
  3. Key Format: API keys start with bp_ followed by project and random identifiers

🐛 Error Handling

The client includes comprehensive error handling:

try { const context = await client.getProjectContext(); } catch (error) { if (error.code === 'UNAUTHORIZED') { console.error('Invalid or expired API key'); } else if (error.code === 'PROJECT_NOT_FOUND') { console.error('Project not found or access denied'); } else { console.error('API error:', error.message); } }

🔄 Development Workflow

Typical AI assistant workflow with Buildable:

  1. Initialize - Connect to Buildable with API key
  2. Get Context - Understand the project structure and current state
  3. Find Work - Get the next priority task
  4. Start Task - Begin working with approach and estimates
  5. Progress Updates - Regular progress reports with details
  6. Ask Questions - Create discussions for blockers or decisions
  7. Complete Task - Finish with comprehensive completion notes
  8. Repeat - Continue with next tasks

📊 Usage Statistics

// Get usage statistics for your AI assistant const stats = await client.getUsageStats(); console.log(`Tasks completed: ${stats.tasksCompleted}`); console.log(`Average completion time: ${stats.avgCompletionTime}min`); console.log(`Success rate: ${stats.successRate}%`);

⚡ CLI Usage

Once installed, you can use the CLI in several ways:

# Run directly with npx (no installation needed) npx @bldbl/mcp # Or install globally and use the bldbl command npm install -g @bldbl/mcp bldbl # For Claude Desktop, use the bldbl command in your config

Environment Variables Required:

  • BUILDABLE_API_URL - Your Buildable API URL
  • BUILDABLE_API_KEY - Your API key (starts with 'bp_')
  • BUILDABLE_PROJECT_ID - Target project ID
  • BUILDABLE_AI_ASSISTANT_ID - Unique assistant identifier

🧪 Testing

The package includes comprehensive test utilities:

import { createTestClient } from '@bldbl/mcp/test'; // Create a test client with mock responses const testClient = createTestClient({ mockProject: { id: 'test-project', title: 'Test Project' } }); // Use in your tests await testClient.startTask('test-task-id');

🏗️ Built With

  • TypeScript - Type-safe development
  • Model Context Protocol (MCP) - Standardized AI assistant communication
  • Node.js - Runtime environment
  • REST API - Simple and reliable communication

📄 License

Copyright © 2025 Buildable Team. All rights reserved.

This software is proprietary and confidential. Unauthorized copying, distribution, or use is strictly prohibited.


Made with ❤️ by the Buildable team

Buildable is a commercial AI-powered development platform. Visit bldbl.dev to get started.

🆘 Support


Built with ❤️ by the BuildPlanner team

Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

This package enables AI assistants (Claude, GPT, etc.) to work directly with Buildable projects using the Model Context Protocol (MCP). AI assistants can get project context, manage tasks and track progress (for projects created at https://bldbl.dev).

  1. 🌟 What is Buildable?
    1. 🚀 Features
      1. 📦 Installation
        1. Installing via Smithery
        2. Manual Installation
      2. 🚀 Quick Start
        1. Step 1: Install the MCP Server
        2. Step 2: Get Your Buildable API Key
        3. Step 3: Configure Your AI Assistant
        4. Step 4: Start AI-Powered Development!
        5. 💡 Example AI Conversation:
      3. 🔧 Advanced Configuration
        1. Environment Variables
        2. CLI Usage
        3. Multiple Projects
      4. 🛠️ API Reference
        1. BuildPlannerMCPClient
      5. 🔐 Authentication
        1. 🐛 Error Handling
          1. 🔄 Development Workflow
            1. 📊 Usage Statistics
              1. ⚡ CLI Usage
                1. 🧪 Testing
                  1. 🔗 Links
                    1. 🏗️ Built With
                      1. 📄 License
                        1. 🆘 Support

                          Related MCP Servers

                          • A
                            security
                            A
                            license
                            A
                            quality
                            Connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender for AI-assisted 3D modeling, scene manipulation, and rendering.
                            Last updated -
                            17
                            11,949
                            Python
                            MIT License
                            • Apple
                          • -
                            security
                            A
                            license
                            -
                            quality
                            AI-powered MCP server that enables Claude and other LLMs to interact directly with construction documents, drawings, and specifications through advanced RAG and hybrid search capabilities.
                            Last updated -
                            1
                            TypeScript
                            MIT License
                          • A
                            security
                            A
                            license
                            A
                            quality
                            A foundation for building custom local Model Context Protocol (MCP) servers that provide tools accessible to AI assistants like Cursor or Claude Desktop.
                            Last updated -
                            1
                            9
                            TypeScript
                            MIT License
                          • -
                            security
                            A
                            license
                            -
                            quality
                            Connects Ableton Live to AI assistants through Model Context Protocol (MCP), enabling natural language control of music production tasks like track creation, MIDI editing, instrument loading, and playback control.
                            Last updated -
                            18
                            Python
                            MIT License
                            • Apple

                          View all related MCP servers

                          MCP directory API

                          We provide all the information about MCP servers via our MCP API.

                          curl -X GET 'https://glama.ai/api/mcp/v1/servers/chunkydotdev/bldbl-mcp'

                          If you have feedback or need assistance with the MCP directory API, please join our Discord server