API Development stdio

Pascal Editor

Created by pascalorg

Enables open-source, local-first 3D architectural editing with a CLI, Model Context Protocol (MCP) integration, and AI agent workflows.

How to Connect & Install

Select your client or environment below to copy the verified, ready-to-run installation configuration.

1-line autonomous agent setup instruction. Paste into Claude Code, Codex CLI, or Cursor Agent:
Fetch and configure Model Context Protocol (MCP) server Pascal Editor from https://www.fastmcp.dev/server/pascal-editor

Agents automatically discover, install, and execute the server spec without manual token setup.

Connect via direct Stateless MCP v2 / Streamable HTTP endpoint or JSON-RPC:
https://github.com/pascalorg/editor

Stateless edge endpoint compliant with MCP 2024-11-05 and v2 draft protocol specs.

Includes server instructions and tool definitions for Claude:
claude mcp add pascal-editor -- npx -y editor

Run in terminal to register server in current project or pass --scope user for global availability.

Configures server instructions and tools for OpenAI Codex & ChatGPT Desktop:
[mcp_servers.pascal_editor] command = "npx" args = ["-y","editor"]

Applies to ChatGPT Desktop app, Codex CLI, and IDE extension across your Codex host.

Add to Cursor project settings (.cursor/mcp.json) or Cursor Settings > Features > MCP:
{ "mcpServers": { "pascal-editor": { "type": "stdio", "command": "npx", "args": [ "-y", "editor" ] } } }

Commit to version control to allow teammates to connect immediately.

Install as an autonomous Agent Skill using the standard skills CLI:
npx skills add https://github.com/pascalorg/editor

Standard agent skill installer compatible with Claude Code, Cursor, and agy harnesses.

Server Guidance & Instructions OpenAI & Claude Spec Compliant
Pascal Editor: Enables open-source, local-first 3D architectural editing with a CLI, Model Context Protocol (MCP) integration, and AI agent workflows. Key capabilities: Open-source, local-first 3D architectural editing platform; CLI for persistent local installation and background MCP service; Seamless AI agent integration via Model Context Protocol (MCP).

Codex and Claude read this instruction prompt during initialization to orchestrate cross-tool workflows and rate limits.

Top Core Functions
01 Create parametric node based scenes
02 Render high performance architectural models
03 Integrate AI agents via MCP