Excel/CSV MCP Server

Excel MCP Server

MCP server that gives Claude full read/write/analyze power over Excel and CSV files. 37 tools — from basic cell reads to financial modeling.

npm install -g excel-csv-mcp-server

Then add to your MCP client:

Claude Code:

claude mcp remove excel-csv  # if previously added
claude mcp add excel-csv --transport stdio excel-csv-mcp-server

Claude Desktop / Cursor — add to your MCP config (claude_desktop_config.json or Cursor's mcp.json):

{
  "mcpServers": {
    "excel-csv": {
      "command": "excel-csv-mcp-server"
    }
  }
}

No global install needed — runs directly:

Claude Code:

claude mcp add excel-csv stdio npx -- excel-csv-mcp-server

Claude Desktop / Cursor:

{
  "mcpServers": {
    "excel-csv": {
      "command": "npx",
      "args": ["-y", "excel-csv-mcp-server"]
    }
  }
}

git clone https://github.com/ishayoyo/excel-mcp.git
cd excel-mcp
npm install
npm run build

Claude Code:

claude mcp add excel-csv stdio node /path/to/excel-mcp/dist/index.js

Claude Desktop / Cursor:

{
  "mcpServers": {
    "excel-csv": {
      "command": "node",
      "args": ["/path/to/excel-mcp/dist/index.js"]
    }
  }
}

Category	Tools	Examples
Read & Navigate	`read_file`, `get_cell`, `get_range`, `get_headers`, `search`, `filter_rows`, `aggregate`	Read files, search values, filter rows, sum columns
Large Files	`read_file_chunked`, `get_file_info`	Stream 100MB+ files in chunks
Write & Format	`write_file`, `add_sheet`, `write_multi_sheet`, `export_analysis`, `format_cells`, `auto_fit_columns`	Create Excel/CSV, multi-sheet with formulas, style cells
Analytics	`statistical_analysis`, `correlation_analysis`, `data_profile`, `pivot_table`	Stats, correlations, profiling, pivot tables
Financial	`dcf_analysis`, `budget_variance_analysis`, `ratio_analysis`, `scenario_modeling`, `trend_analysis`	DCF valuation, budget vs actual, financial ratios, what-if scenarios
Data Cleaning	`find_duplicates`, `data_cleaner`, `vlookup_helper`	Remove duplicates, fix dates/phones/names, cross-file lookups
Bulk Ops	`bulk_aggregate_multi_files`, `bulk_filter_multi_files`	Aggregate/filter across multiple files
Validation	`validate_data_consistency`	Cross-file referential integrity checks
AI-Powered	`evaluate_formula`, `parse_natural_language`, `explain_formula`, `smart_data_analysis`, `ai_provider_status`	Evaluate formulas, natural language to formula, AI analysis

For AI-powered tools (parse_natural_language, explain_formula, smart_data_analysis), create a .env file:

cp .env.example .env

ANTHROPIC_API_KEY=your-key
OPENAI_API_KEY=your-key
DEEPSEEK_API_KEY=your-key
GEMINI_API_KEY=your-key

Any single provider is enough. A local fallback works without any keys.

MIT