SparkSheets/sparksheets-mcp

Overview

SparkSheets MCP Server provides an AI-native collaborative spreadsheet interface that works with Claude Code, Cursor, and other MCP clients. It exposes spreadsheet operations through the Model Context Protocol, allowing agents to create, read, and manipulate tabular data interactively.

Best for

Best for
LLM developers using Claude Code or Cursor who need lightweight spreadsheet collaboration inside their coding environment

Use cases

• Embedding live spreadsheets into AI coding workflows for data tracking
• Collaborating on structured data across multiple AI assistants
• Building automated data entry and analysis pipelines via MCP

How to use

Install

npm install -g @sparksheets/mcp

Tools exposed

• sparksheets_login
• sparksheets_logout
• sparksheets_auth_status
• save_session
• list_sessions
• search_sessions
• create_handover
• save_solution
• find_solution
• save_snippet
• get_snippet
• upload_image
• append_to_sheet
• list_sheets
• create_sheet
• update_sheet
• get_sheet_content
• search_sheets
• delete_sheet
• add_column

Tested with

Claude Code, Cursor, Cline

Example client config

{\n  "mcpServers": {\n    "sparksheets": {\n      "command": "sparksheets-mcp"\n    }\n  }\n}

Notes

SparkSheets MCP Server provides an AI-native collaborative spreadsheet interface that works with Claude Code, Cursor, and other MCP clients. It exposes spreadsheet operations through the Model Context Protocol, allowing agents to create, read, and manipulate tabular data interactively.

0 stars on GitHub. Last updated 2026-05-19.

Use cases

• Embedding live spreadsheets into AI coding workflows for data tracking
• Collaborating on structured data across multiple AI assistants
• Building automated data entry and analysis pipelines via MCP

Pros

• Leverages the MCP standard for easy integration with popular AI coding tools
• JavaScript codebase is accessible for customization and extension
• Enables real-time collaborative editing without leaving the chat interface

Cons

• No stars or community adoption yet, indicating early stage or limited validation
• Dependency on MCP clients may restrict usage to specific tools
• Scope appears narrow compared to full spreadsheet applications

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.