Instadash
Live data grids for AI agents. Push structured data; humans review, agents read back via MCP.
What is Instadash?
Instadash is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to live data grids for ai agents. push structured data; humans review, agents read back via mcp.
Live data grids for AI agents. Push structured data; humans review, agents read back via MCP.
This server falls under the Communication category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Live data grids for AI agents. Push structured data; humans
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx io-instadash-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Instadash
What is Instadash?
Instadash is a Model Context Protocol (MCP) server that live data grids for ai agents. push structured data; humans review, agents read back via mcp. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Instadash?
Follow the installation instructions on the Instadash GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Instadash?
Instadash works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Instadash free to use?
Yes, Instadash is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Communication MCP Servers
Explore all communication servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Instadash in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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