modelbound-mcp
Local-first MCP server for agent skills. Validate, lint, diff, and convert across IDEs.
Install modelbound-mcp in your MCP client
modelbound-mcp is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.
- Locate your client's MCP config file.
- Cursor:
~/.cursor/mcp.json - Claude Desktop (macOS):
~/Library/Application Support/Claude/claude_desktop_config.json - Claude Desktop (Windows):
%APPDATA%\Claude\claude_desktop_config.json - VS Code:
Settings → Extensions → MCP - Windsurf:
Settings → MCP Servers
- Cursor:
- Add modelbound-mcp to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing
mcpServersobject. - Restart your client so it picks up the new server.
- Verify — ask the assistant to list available tools; modelbound-mcp's tools should appear.
{
"mcpServers": {
"modelbound-mcp": {
"command": "npx",
"args": [
"-y",
"modelbound-mcp"
],
"env": {
"MODELBOUND_API_KEY": "<your-modelbound-api-key>"
}
}
}
}Install modelbound-mcp in Cursor
Open ~/.cursor/mcp.json in your editor, paste the snippet above into mcpServers, save, and restart Cursor. modelbound-mcp will show up in the assistant's tool list on next launch.
Install modelbound-mcp in Claude Desktop (macOS)
Open ~/Library/Application Support/Claude/claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (macOS). modelbound-mcp will show up in the assistant's tool list on next launch.
Install modelbound-mcp in Claude Desktop (Windows)
Open %APPDATA%\Claude\claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (Windows). modelbound-mcp will show up in the assistant's tool list on next launch.
Install modelbound-mcp in VS Code
Open Settings → Extensions → MCP in your editor, paste the snippet above into mcpServers, save, and restart VS Code. modelbound-mcp will show up in the assistant's tool list on next launch.
npm package: modelbound-mcp
Required environment variables
modelbound-mcp needs the following environment variables set before it can run. Add them to the env block of your mcpServers entry, or export them in your shell before launching the client.
MODELBOUND_API_KEY
Transport
modelbound-mcp supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.
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