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AI Answer Copier is a Model Context Protocol (MCP) server that solves the "Final Mile" friction in educational content creation. It enables AI models to move be
AI Answer Copier is a Model Context Protocol (MCP) server that solves the "Final Mile" friction in educational content creation. It enables AI models to move beyond just writing questions to actually generating the files required for teaching and assessment. By functioning as a native MCP server, this tool allows Claude or any MCP-enabled IDE to directly pipe its output into specialized educational formats. No more manually fixing bullet points in Word or wrestling with CSV headers for your LMS. Key Capabilities:Zero-Friction Pipeline: Your AI can now "see" your local export tools. Ask it to: "Generate 10 biology questions and send them directly to my Quizizz CSV." Multi-Format Exporting: Seamlessly convert AI responses into upload-ready files for Kahoot, Quizizz, Canvas (JSON), Moodle (XML), and professionally formatted PDFs. Intelligent Smart-Parse: Automatically identifies question stems, multiple-choice distractors, and correct answer keys from raw AI text. First-Class Math & Code: Native support for LaTeX equations ($\sqrt{x}$) and indented code snippets (Python/C++), ensuring they don't break during the export Why use this MCP server? Generating questions takes seconds, but formatting them takes hours. This server reclaims those 5 hours of your week by removing the technical barrier between AI intelligence and classroom delivery.
Smithery CLI connects your agents to thousands of skills and MCP servers directly from the command line. To get started, simply run npx skills add smithery/cli.
npm install -g smithery@latest
Requires Node.js 20+.
smithery mcp search [term] # Search the Smithery registry
smithery mcp add <url> # Add an MCP server connection
smithery mcp list # List your connections
smithery mcp remove <ids...> # Remove connections
Interact with tools from MCP servers connected via smithery mcp.
smithery tool list [connection] # List tools from your connected MCP servers
smithery tool find [query] # Search tools by name or intent
smithery tool get <connection> <tool> # Show full details for one tool
smithery tool call <connection> <tool> [args] # Call a tool
Browse skills on the Smithery Skills Registry and install them with the upstream installer:
npx skills add <skill> # e.g. npx skills add smithery-ai/cli
smithery auth login # Login with Smithery (OAuth)
smithery auth logout # Log out
smithery auth whoami # Check current user
smithery auth token # Mint a service token
smithery auth token --policy '<json>' # Mint a restricted token
smithery namespace list # List your namespaces
smithery namespace use <name> # Set current namespace
smithery mcp publish <url> -n <org/server> # Publish an MCP server URL
smithery mcp publish <bundle.mcpb> -n <org/server> # Publish an MCP bundle
# Search and connect to an MCP server
smithery mcp search "github"
smithery mcp add github --id github
# Find and call tools from your connected MCP servers
smithery tool find "create issue"
smithery tool call github create_issue '{"title":"Bug fix","body":"..."}'
# Browse and install skills
smithery skill search "frontend" --json --page 2
smithery skill add anthropics/frontend-design --agent claude-code
# Publish your MCP server URL
smithery mcp publish https://my-mcp-server.com -n myorg/my-server
# Publish a built MCP bundle
smithery mcp publish ./server.mcpb -n myorg/my-server
git clone https://github.com/smithery-ai/cli
cd cli && pnpm install && pnpm run build
npx . --help
Contributions welcome! Please submit a Pull Request.
Run in your terminal:
claude mcp add x23 -- npx -y @smithery/cli run XJTLUmedia/x23Not sure what to pick?
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