{"slug": "how-to-connect-acedata-cloud-mcp-to-your-ai-assistant", "title": "How to Connect AceData Cloud MCP to Your AI Assistant", "summary": "A developer guide explains how to connect Ace Data Cloud's MCP to Claude Code CLI, covering installation, authentication setup, and usage for terminal tasks like code explanation and diff review. The setup requires an API token and base URL, with options for shell-level or tool-scoped configuration, and emphasizes keeping credentials out of source control.", "body_md": "The hard part of adopting an AI coding agent is rarely the first prompt; it is building a terminal setup you can reuse inside a real repository without mixing credentials, project rules, and task context.\n\nThis guide sets up Claude Code CLI with Ace Data Cloud, then uses it for focused terminal work: explaining code, reviewing a diff, and following repository instructions stored in `CLAUDE.md`\n\n.\n\nClaude Code can run interactively in a project directory, execute one task and exit, consume piped input, or continue an earlier conversation. The Ace Data Cloud configuration needs two values:\n\n`ANTHROPIC_AUTH_TOKEN`\n\n: your API token. Claude Code adds the `Bearer`\n\nprefix when sending it.`ANTHROPIC_BASE_URL`\n\n: `https://api.acedata.cloud`\n\n.You can define them in your shell profile or isolate them in Claude Code's settings. I prefer the second option on shared development machines because the variables remain scoped to one tool.\n\nOn macOS, Linux, or WSL, use the native installer:\n\n```\ncurl -fsSL https://claude.ai/install.sh | bash\n```\n\nHomebrew is also supported:\n\n```\nbrew install claude-code\n```\n\nOn Windows, use WinGet:\n\n```\nwinget install Claude.ClaudeCode\n```\n\nOpen a fresh terminal and verify the command:\n\n```\nclaude --help\n```\n\nIf you see `command not found`\n\n, reopen the terminal and check `$PATH`\n\nbefore reinstalling.\n\nCopy your API token from the Ace Data Cloud console. Do not put it in source control, `CLAUDE.md`\n\n, or a command that will remain in shell history.\n\nFor a persistent shell-level configuration, add this to `~/.zshrc`\n\n, `~/.bashrc`\n\n, or `~/.bash_profile`\n\n:\n\n```\nexport ANTHROPIC_AUTH_TOKEN=\"{token}\"\nexport ANTHROPIC_BASE_URL=\"https://api.acedata.cloud\"\n```\n\nReload the relevant profile:\n\n```\nsource ~/.zshrc  # use ~/.bashrc for Bash\n```\n\nTo scope the variables to Claude Code, create or edit `~/.claude/settings.json`\n\ninstead:\n\n```\n{\n  \"env\": {\n    \"ANTHROPIC_AUTH_TOKEN\": \"{token}\",\n    \"ANTHROPIC_BASE_URL\": \"https://api.acedata.cloud\"\n  }\n}\n```\n\nIn both examples, replace `{token}`\n\nlocally. The useful boundary is simple: user-level settings hold credentials; repository files describe the project.\n\nNow enter a repository and start an interactive session:\n\n```\ncd /path/to/your/project\nclaude\n```\n\nBegin with a modest request such as: `explain the request flow from the HTTP handler to the database`\n\n. This checks the agent's understanding before you ask it to modify files.\n\nInteractive mode is useful for exploration, but one-shot commands are easier to audit. Run a query and exit with `-p`\n\n:\n\n```\nclaude -p \"explain this function\"\n```\n\nClaude Code also accepts piped input. To review only the current diff:\n\n```\ngit diff main | claude -p \"review these changes\"\n```\n\nAsk for concrete findings—correctness risks, missing tests, or unclear error handling—rather than a vague quality score. Then inspect the response yourself. The pipe narrows the supplied context, but it does not turn the model's judgment into a merge decision.\n\nFor ongoing work, `claude -c`\n\ncontinues the latest conversation in the current directory, while `claude -r`\n\nrestores a previous one. In interactive mode, `/compact`\n\ncompresses context and `/clear`\n\nstarts over. These controls help when an old assumption begins influencing a new task.\n\nCreate `CLAUDE.md`\n\nin the repository root to store instructions Claude Code should load at startup:\n\n```\n# Project\nDjango API with a Vue.js frontend.\n\n## Working rules\n- Use Python 3.12.\n- Follow PEP 8.\n- Add unit tests for API behavior changes.\n- Do not edit generated migration files by hand.\n```\n\nKeep this file short and operational. It is not a place for secrets or a full architecture handbook. Commit it only when the instructions should apply to everyone working in the repository.\n\nMy preferred loop is: enter the repository, ask Claude Code to explain the relevant path, use one bounded prompt to make or review a change, run the project's tests, and inspect `git diff`\n\nbefore committing. The agent accelerates the middle of the loop; it does not replace the boundaries around it.\n\nThe [Claude Code Terminal CLI integration guide](https://platform.acedata.cloud/documents/claude-code-terminal-integration) contains the complete command and environment-variable reference. The setup is intentionally small: two environment variables, one project-memory file, and terminal commands you can inspect as you go.", "url": "https://wpnews.pro/news/how-to-connect-acedata-cloud-mcp-to-your-ai-assistant", "canonical_source": "https://dev.to/germey/how-to-connect-acedata-cloud-mcp-to-your-ai-assistant-2d4p", "published_at": "2026-08-05 01:08:29+00:00", "updated_at": "2026-08-05 01:39:17.856138+00:00", "lang": "en", "topics": ["developer-tools", "ai-tools", "artificial-intelligence"], "entities": ["Ace Data Cloud", "Claude Code", "Anthropic", "Homebrew", "WinGet"], "alternates": {"html": "https://wpnews.pro/news/how-to-connect-acedata-cloud-mcp-to-your-ai-assistant", "markdown": "https://wpnews.pro/news/how-to-connect-acedata-cloud-mcp-to-your-ai-assistant.md", "text": "https://wpnews.pro/news/how-to-connect-acedata-cloud-mcp-to-your-ai-assistant.txt", "jsonld": "https://wpnews.pro/news/how-to-connect-acedata-cloud-mcp-to-your-ai-assistant.jsonld"}}