Adds MCP server to Blockbench
# Add to your Claude Code skills
git clone https://github.com/jasonjgardner/blockbench-mcp-pluginGuides for using mcp servers skills like blockbench-mcp-plugin.
Last scanned: 5/30/2026
{
"issues": [
{
"type": "npm-audit",
"message": "blockbench-types: Vulnerability found",
"severity": "low"
},
{
"type": "npm-audit",
"message": "vue: ReDoS vulnerability in vue package that is exploitable through inefficient regex evaluation in the parseHTML function",
"severity": "low"
}
],
"status": "PASSED",
"scannedAt": "2026-05-30T15:45:00.977Z",
"npmAuditRan": true,
"pipAuditRan": true
}See how blockbench-mcp-plugin compares with popular alternatives.
blockbench-mcp-plugin is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by jasonjgardner. Adds MCP server to Blockbench. It has 543 GitHub stars.
Yes. blockbench-mcp-plugin passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/jasonjgardner/blockbench-mcp-plugin" and add it to your Claude Code skills directory (see the Installation section above).
blockbench-mcp-plugin is primarily written in TypeScript. It is open-source under jasonjgardner on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh blockbench-mcp-plugin against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
See comparison
https://github.com/user-attachments/assets/c67d0dd8-ee50-40ba-b308-a84a21772901
All scenes, models, and textures created through Blockbench MCP plugin using agent skills. (Rendered in Blender)
Open the desktop version of Blockbench, go to File > Plugins and click the "Load Plugin from URL" and paste in this URL:
https://jasonjgardner.github.io/blockbench-mcp-plugin/mcp.js
This repository contains two MCP server options.
.bbmodel (stdio)A separate stdio MCP server edits, validates, converts and renders .bbmodel files directly, without Blockbench running. Each agent can start its own process, so several can work in parallel while you keep using the editor. Run it straight from GitHub:
npx -y github:jasonjgardner/blockbench-mcp-plugin --root ./models
See headless/README.md for client configuration, the tool list and limits.
Configure the MCP server under Blockbench settings: Settings > General > MCP Server Port and MCP Server Endpoint.
The following installation settings examples use the default values of
:3000/bb-mcp
The examples below configure the desktop plugin over HTTP and the headless server over stdio. You can use either server or both. HTTP requires Blockbench running with the plugin installed; stdio requires Node.js with npm and starts its own server process.
For headless examples, replace /path/to/models with an absolute path to your model directory (for example, C:/Users/you/models on Windows). --root is required and limits file access to that directory.
On Windows, clients that cannot launch
npxdirectly should use"command": "cmd"and prepend"/c", "npx"toargs, as shown for Claude Desktop.
# Desktop plugin (HTTP)
npx mcp-add --type http --url "http://localhost:3000/bb-mcp" --scope project
# Headless (stdio)
npx mcp-add --name bbmodel --type stdio --command "npx -y github:jasonjgardner/blockbench-mcp-plugin --root /path/to/models" --scope project
.vscode/mcp.json
{
"servers": {
"blockbench": {
"url": "http://localhost:3000/bb-mcp",
"type": "http"
},
"bbmodel": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"github:jasonjgardner/blockbench-mcp-plugin",
"--root",
"${input:rootDir}"
]
}
},
"inputs": [
{
"id": "rootDir",
"type": "promptString",
"description": "Root directory for headless Blockbench models",
"default": "${workspaceFolder}/models"
}
]
}
claude_desktop_config.json (macOS/Linux)
{
"mcpServers": {
"blockbench": {
"command": "npx",
"args": ["-y", "mcp-remote", "http://localhost:3000/bb-mcp"]
},
"bbmodel": {
"command": "npx",
"args": ["-y", "github:jasonjgardner/blockbench-mcp-plugin", "--root", "/path/to/models"]
}
}
}
claude_desktop_config.json (Windows)
{
"mcpServers": {
"blockbench": {
"command": "cmd",
"args": ["/c", "npx", "-y", "mcp-remote", "http://localhost:3000/bb-mcp"]
},
"bbmodel": {
"command": "cmd",
"args": ["/c", "npx", "-y", "github:jasonjgardner/blockbench-mcp-plugin", "--root", "C:/Users/you/models"]
}
}
}
# Desktop plugin (HTTP)
claude mcp add blockbench --transport http http://localhost:3000/bb-mcp
# Headless (stdio)
claude mcp add bbmodel --transport stdio -- npx -y github:jasonjgardner/blockbench-mcp-plugin --root /path/to/models
codex plugin marketplace add jasonjgardner/blockbench-mcp-project --ref codex
codex plugin add blockbench-mcp@blockbench-mcp-project
Or register the servers directly:
# Desktop plugin (HTTP)
codex mcp add blockbench --url http://localhost:3000/bb-mcp
# Headless (stdio)
codex mcp add bbmodel -- npx -y github:jasonjgardner/blockbench-mcp-plugin --root /path/to/models
{
"mcpServers": {
"blockbench": {
"serverUrl": "http://localhost:3000/bb-mcp"
},
"bbmodel": {
"command": "npx",
"args": ["-y", "github:jasonjgardner/blockbench-mcp-plugin", "--root", "/path/to/models"]
}
}
}
cline_mcp_settings.json
{
"mcpServers": {
"blockbench": {
"url": "http://localhost:3000/bb-mcp",
"type": "streamableHttp",
"disabled": false,
"autoApprove": []
},
"bbmodel": {
"type": "stdio",
"command": "npx",
"args": ["-y", "github:jasonjgardner/blockbench-mcp-plugin", "--root", "/path/to/models"],
"disabled": false,
"autoApprove": []
}
}
}
# Desktop plugin (HTTP)
uvx ollmcp -u http://localhost:3000/bb-mcp
# Headless (stdio): register, then start the client
uvx ollmcp mcp add bbmodel -- npx -y github:jasonjgardner/blockbench-mcp-plugin --root /path/to/models
uvx ollmcp
Recommended: jonigl/mcp-client-for-ollama
opencode mcp add
Choose a remote server for the desktop HTTP URL, or a local server for the headless command. You can also configure both in opencode.json:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"blockbench": {
"type": "remote",
"url": "http://localhost:3000/bb-mcp",
"enabled": true
},
"bbmodel": {
"type": "local",
"command": ["npx", "-y", "github:jasonjgardner/blockbench-mcp-plugin", "--root", "/path/to/models"],
"enabled": true
}
}
}
See the OpenCode MCP configuration reference for local and remote server options.
See sample project for prompt examples.
Use Agent Skills to orchestrate tool usage.
Other Blockbench plugins can register their own MCP tools through a global MCP_QUEUE, without bundling or importing this plugin. See docs/plugin.md for the API and an example.
[!NOTE] Plugins in the official Blockbench plugin repository are not allowed to use AI features, so a plugin that registers MCP tools has to be distributed some other way.
See CONTRIBUTING.md for detailed instructions on setting up the development environment and how to add new tools, resources, and prompts.
The desktop plugin's HTTP server listens on this computer only (127.0.0.1 and ::1) by default, so http://localhost:3000/bb-mcp works whether a client resolves localhost to IPv4 or IPv6. Requests with a non-loopback Origin or Host header get 403 Forbidden, which keeps web pages, including DNS rebinding attacks, from driving Blockbench through your browser.
To accept connections from other computers (for example a client inside WSL2 without mirrored networking, a VM, or another machine), set Settings > General > MCP Server Host to 0.0.0.0 or :: and reload the plugin. In that mode the Host header is no longer checked, since other computers reach the server by its address, but requests with a non-loopback Origin header are still refused. The server has no authentication: anyone who can reach the port can call every tool, including risky_eval. Only do this on a trusted network and keep your firewall rules restrictive.
risky_eval runs any JavaScript a client sends. To turn it off, clear Settings > General > Enable risky_eval: connected clients stop seeing the tool and its calls are refused.