LWTlong/ai-dev-analytics
by LWTlong · LWTlong/ai-dev-analytics
Install
See GitHub repository for installation instructions.
How to use LWTlong/ai-dev-analytics with Claude
LWTlong/ai-dev-analytics is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to data & analytics capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.
MCP servers in the Data & Analytics category let AI agents interact directly with data & analytics systems — no custom API integration required. See the GitHub repository for full documentation and configuration options.
Setup
- Clone or install from the GitHub repository
- Follow the README for environment setup and credentials
- Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
- Restart your client — LWTlong/ai-dev-analytics will appear in the available tools list
About LWTlong/ai-dev-analytics
LWTlong/ai-dev-analytics is an open-source MCP server in the Data & Analytics category. It connects Claude and other MCP-compatible clients to data & analytics systems directly. Source available on GitHub.
Use cases for Data & Analytics MCP servers
- →Query analytics dashboards and export results via AI
- →Build automated reporting pipelines without code
- →Connect AI agents to BI tools for live data access
- →Summarize trends from large datasets in seconds
Where LWTlong/ai-dev-analytics fits in an MCP workflow
Teams use LWTlong/ai-dev-analytics to give Claude a direct bridge into data & analytics workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.
LWTlong/ai-dev-analytics can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to data & analytics systems.
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