corpus-capabilities — Assetize — IBM Maximo knowledge MCP Resource
corpus-capabilities
is one of 6 resources on the
Assetize — IBM Maximo knowledge
MCP server. Connect the server and your client can attach it as context.
by client
How to attach corpus-capabilities from your client
- Claude Code Assetize — IBM Maximo knowledge Resource/corpus-capabilities run in your project directory
- Claude Desktop Assetize — IBM Maximo knowledge Resource/corpus-capabilities ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Assetize — IBM Maximo knowledge Resource/corpus-capabilities ~/.cursor/mcp.json
- VS Code Assetize — IBM Maximo knowledge Resource/corpus-capabilities .vscode/mcp.json
- Zed Assetize — IBM Maximo knowledge Resource/corpus-capabilities ~/.config/zed/settings.json
- Windsurf Assetize — IBM Maximo knowledge Resource/corpus-capabilities ~/.codeium/windsurf/mcp_config.json
- Cline Assetize — IBM Maximo knowledge Resource/corpus-capabilities ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Assetize — IBM Maximo knowledge Resource/corpus-capabilities ~/.gemini/settings.json
- Grok Assetize — IBM Maximo knowledge Resource/corpus-capabilities .mcp.json (in your project root)
- ChatGPT Assetize — IBM Maximo knowledge Resource/corpus-capabilities Settings → Connectors → Advanced → Developer mode
- Claude.ai Assetize — IBM Maximo knowledge Resource/corpus-capabilities Settings → Connectors → Add custom connector
- LangChain Assetize — IBM Maximo knowledge Resource/corpus-capabilities pip install langchain-mcp-adapters
Other resources on this server
Read from the server itself, by connecting to it and calling resources/list on 25 September 2026.
A listing does not declare its resources, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each resource's type and contents.