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## Model Context Protocol Server
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Configure experimental MCP server under Blockbench settings: __Settings__ > __General__ > __MCP Server Port__ and __MCP Server Endpoint__
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The following examples use the default values of `:3000/mcp`
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> __Be sure your Blockbench settings match the port and endpoint used in the MCP JSON configuration.__
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## Installation
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### Claude Desktop
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__`claude_desktop_config.json`__
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```json
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{
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"mcpServers": {
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"blockbench": {
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"command": "npx",
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"args": [
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"mcp-remote",
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"http://localhost:3000/mcp"
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]
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}
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}
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}
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```
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### VS Code
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<span style="background: darkred; box-shadow: 1px 1px 6px rgba(0 0 0 / 50%); color: pink; font: 600 12px sans-serif; padding: 0.3em 0.5em; border-radius: 0.25em; outline: 0.125em solid red;">Unstable</span>
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> This plugin _should_ be compatible but Copilot often throws errors when using most tools.
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__`.vscode/mcp.json`__
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```json
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{
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"servers": {
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"blockbench": {
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"url": "http://localhost:3000/mcp"
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},
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}
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}
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```
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## Basic Usage
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1. Start Blockbench
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2. Start your MCP client
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3. Enable/disable tools in client
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4. Prompt to create models
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### Limitations / Expectations
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Only a small fraction of Blockbench's API has been mapped to a MCP server tool, so some capabilities may be limited.
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"One-shotting" a model is possible but human-in-the-loop interaction and project clean-up should usually be expected.
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### Tips
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- __Set the agent up for success__ by adding textures and groups to the project ahead of prompting.
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- __Find the right amount of context__ by disabling tools you do not want or need, _but also_ try providing lots of specific project details and even __use other MCP servers in the same context.__ (i.e. File or web access tools.)
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- __Make a backup.__ This is experimental tech! Working in existing projects may yield unexpected results.

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