Accuracy & provenance report — endoflife.ai — Software Lifecycle Intelligence MCP Resource
Accuracy & provenance report
is one of 7 resources on the
endoflife.ai — Software Lifecycle Intelligence
MCP server. Connect the server and your client can attach it as context.
by client
How to attach Accuracy & provenance report from your client
- Claude Code endoflife.ai — Software Lifecycle Intelligence Resource/Accuracy & provenance report run in your project directory
- Claude Desktop endoflife.ai — Software Lifecycle Intelligence Resource/Accuracy & provenance report ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor endoflife.ai — Software Lifecycle Intelligence Resource/Accuracy & provenance report ~/.cursor/mcp.json
- VS Code endoflife.ai — Software Lifecycle Intelligence Resource/Accuracy & provenance report .vscode/mcp.json
- Zed endoflife.ai — Software Lifecycle Intelligence Resource/Accuracy & provenance report ~/.config/zed/settings.json
- Windsurf endoflife.ai — Software Lifecycle Intelligence Resource/Accuracy & provenance report ~/.codeium/windsurf/mcp_config.json
- Cline endoflife.ai — Software Lifecycle Intelligence Resource/Accuracy & provenance report ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI endoflife.ai — Software Lifecycle Intelligence Resource/Accuracy & provenance report ~/.gemini/settings.json
- Grok endoflife.ai — Software Lifecycle Intelligence Resource/Accuracy & provenance report .mcp.json (in your project root)
- ChatGPT endoflife.ai — Software Lifecycle Intelligence Resource/Accuracy & provenance report Settings → Connectors → Advanced → Developer mode
- Claude.ai endoflife.ai — Software Lifecycle Intelligence Resource/Accuracy & provenance report Settings → Connectors → Add custom connector
- LangChain endoflife.ai — Software Lifecycle Intelligence Resource/Accuracy & provenance report pip install langchain-mcp-adapters
Other resources on this server
endoflife.ai — Software Lifecycle Intelligence also offers 3 prompts — things you invoke, where a resource is context you attach.
Read from the server itself, by connecting to it and calling resources/list on 24 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.