report-example — Agent Groundcrew MCP Resource
report-example
is one of 4 resources on the
Agent Groundcrew
MCP server. Connect the server and your client can attach it as context.
by client
How to attach report-example from your client
- Claude Code Agent Groundcrew Resource/report-example run in your project directory
- Claude Desktop Agent Groundcrew Resource/report-example ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Agent Groundcrew Resource/report-example ~/.cursor/mcp.json
- VS Code Agent Groundcrew Resource/report-example .vscode/mcp.json
- Zed Agent Groundcrew Resource/report-example ~/.config/zed/settings.json
- Windsurf Agent Groundcrew Resource/report-example ~/.codeium/windsurf/mcp_config.json
- Cline Agent Groundcrew Resource/report-example ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Agent Groundcrew Resource/report-example ~/.gemini/settings.json
- Grok Agent Groundcrew Resource/report-example .mcp.json (in your project root)
- ChatGPT Agent Groundcrew Resource/report-example Settings → Connectors → Advanced → Developer mode
- Claude.ai Agent Groundcrew Resource/report-example Settings → Connectors → Add custom connector
- LangChain Agent Groundcrew Resource/report-example pip install langchain-mcp-adapters
Other resources on this server
Agent Groundcrew also offers 1 prompt — things you invoke, where a resource is context you attach.
Read from the server itself, by connecting to it and calling resources/list on 5 November 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.