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ishayoyo

Excel MCP Server

by ishayoyo

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.

Install

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" } } }

Option 2: npx (No Install)

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"] } } }

Option 3: From Source

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"] } } }

What It Can Do

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

AI Providers (Optional)

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.

License

MIT

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