BPT MCP Server

A self-contained Model Context Protocol server that turns any MCP-aware AI client into a BlazorPowerTools expert.

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A BPT expert, packaged as a Docker image

The BPT MCP Server bakes the entire BlazorPowerTools skill corpus into a lightweight Linux image (~50 MB) and exposes it over the Model Context Protocol's Streamable-HTTP transport. Connect Claude Desktop, Cline, Cursor, Continue, or any other MCP client and your AI assistant becomes a BPT specialist with grounded knowledge of every component, parameter, and pattern.

Download MCP Server v10.9.39 (53.2 MB)
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What's inside

Each release ships an MCP server with the complete BPT skill corpus baked in — both component-reference skills and the whole-app scaffolding skills:

Component reference
🎛️ bpt-controls.md

Every form control (CheckBox, Dropdown, Slider, …) plus BptRootComponent and the cascading error system.

📊 bpt-charts.md

The full 15-chart family (Bar, Line, Pie, Donut, Scatter, Bubble, Radar, Polar, TreeMap, Funnel, Histogram, BoxWhisker, Bullet, DateAxis, Trendline) with tooltips, palettes, 3D & responsive sizing.

🎨 bpt-images-animation.md

Image, AnimationEffect, Background, Carousel, ObjectDetector.

🛠️ bpt-tools.md

ServerMonitor, TerminalClient, ThemeBuilder, LandingPage, ImageEditor, and the BptAppFramework responsive shell.

🔍 bpt-devtools.md

Render diagnostics, browser size, element tracking.

🧠 bpt-ai.md

Speech, transcription, text generation, the reusable BptAiChatPanel.

🖼️ bpt-image-editor.md

The full BptImageEditor reference — 25+ tools, layer system, 85+ JS API functions.

📰 bpt-landing-page.md

The BptLandingPage visual builder — Edit/Preview modes, multi-page projects, element catalog.

Whole-app scaffolding — the design system
🧭 bpt-design-system.md

The "design my app with BPT" wizard — 9-question interview, implementation plan, dry-run preview. See the walkthrough →

📋 bpt-implementation-plan.md

The 10-section runbook the wizard follows — written to .claude/plans/bpt-scaffold.md for review before any file is created.

How to run

  1. Download the zip above and extract it.
  2. Load the image into your local Docker engine:
    cd bpt-mcp-server-10.9.39
    bash load.sh
  3. Start the server:
    docker run --rm -p 7180:7180 bpt-mcp-server:10.9.39
  4. Verify it's healthy: curl http://localhost:7180/health should return {"status":"ok","skills":11} (10 skill files plus the index).
  5. Connect any MCP client to http://localhost:7180/mcp (see the snippets below).

MCP client configuration

Claude Desktop / Cline / Cursor / Continue

Add an entry to your client's MCP config:

{
  "mcpServers": {
    "bpt-expert": {
      "url": "http://localhost:7180/mcp",
      "transport": "http"
    }
  }
}

Once connected, your assistant has full access to:

  • Every BPT skill as an MCP resource (URI scheme bpt-skill://)
  • The bpt_expert_guidance prompt, which injects every skill as grounding context for any BPT question
Smoke test with the official MCP Inspector
npx @modelcontextprotocol/inspector

Connect the inspector to http://localhost:7180/mcp. The Resources tab should list every skill file; the Prompts tab should show bpt_expert_guidance.

Security

By default, the server binds to 0.0.0.0 with no auth — fine for a developer running it locally on a single workstation. If the container is reachable beyond localhost:

  • Bind to localhost only: -p 127.0.0.1:7180:7180
  • Or require a bearer token: -e MCP_AUTH_TOKEN="$(openssl rand -hex 24)" and add "headers": { "Authorization": "Bearer YOUR_TOKEN" } to your client config.

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New here? See it in action first

Developing with the BPT MCP Server walks through the “design my app with BPT” wizard end to end — the 9 questions, a real worked example with its answers, the exact file tree it plans, and the patterns & best practices you get. See precisely what lands in your project before you connect a single client.

Read the walkthrough →
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