Automate Excel workbooks on Windows with 226 COM-based operations covering data, formulas, tables, Power Query, and DAX.
Works with
Supports full Excel object model: ranges, tables, worksheets, PivotTables, charts, slicers, conditional formatting, and VBA macro execution
Includes Power Query (M code evaluation and creation) and Data Model (DAX measures) for advanced analytics workflows
Provides calculation mode control for batch write performance optimization when handling large data volumes
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionexcel-mcpExecute the skills CLI command in your project's root directory to begin installation:
Fetches excel-mcp from sbroenne/mcp-server-excel and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate excel-mcp. Access via /excel-mcp in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Provides 227 Excel operations via Model Context Protocol. The MCP Server forwards all requests to the shared ExcelMCP Service, enabling session sharing with CLI. Tools are auto-discovered - this documents quirks, workflows, and gotchas.
| Step | Tool | Action | When |
|---|---|---|---|
| 1. Open file | file |
open or create |
Always first |
| 2. Create sheets | worksheet |
create, rename |
If needed |
| 3. Write data | range |
set-values |
Always (2D arrays) |
| 4. Format | range |
set-number-format |
After writing |
| 5. Structure | table |
create |
Convert data to tables |
| 6. Save & close | file |
close with save: true |
Always last |
C:\Users\Name\Documents\Report.xlsxUse calculation_mode for bulk write performance optimization. When writing many values or formulas, disable auto-recalc to avoid recalculating after every cell:
1. calculation_mode(action: 'set-mode', mode: 'manual') → Disable auto-recalc
2. Perform all writes (range set-values, set-formulas)
3. calculation_mode(action: 'calculate', scope: 'workbook') → Recalculate once
4. calculation_mode(action: 'set-mode', mode: 'automatic') → Restore default
Note: You do NOT need manual mode to read formulas - range get-formulas returns formula text regardless of calculation mode.
STOP. If you're about to ask "Which file?", "What table?", "Where should I put this?" - DON'T.
| Bad (Asking) | Good (Discovering) |
|---|---|
| "Which Excel file should I use?" | file(list) → use the open session |
| "What's the table name?" | table(list) → discover tables |
| "Which sheet has the data?" | worksheet(list) → check all sheets |
| "Should I create a PivotTable?" | YES - create it on a new sheet |
You have tools to answer your own questions. USE THEM.
NEVER end your turn with only a tool call. After completing all operations, always provide a brief text message confirming what was done. Silent tool-call-only responses are incomplete.
Always apply number formats after setting values:
| Data Type | Format Code | Result |
|---|---|---|
| USD | $#,##0.00 |
$1,234.56 |
| EUR | €#,##0.00 |
€1,234.56 |
| Percent | 0.00% |
15.00% |
| Date (ISO) | yyyy-mm-dd |
2025-01-22 |
Workflow:
1. range set-values (data is now in cells)
2. range set-number-format (apply format)
Always convert tabular data to Excel Tables:
1. range set-values (write data including headers)
2. table create tableName="SalesData" rangeAddress="A1:D100"
Why: Structured references, auto-expand, required for Data Model/DAX.
1. file(action: 'open', path: '...') → sessionId
2. All operations use sessionId
3. file(action: 'close', save: true) → saves and closes
Unclosed sessions leave Excel processes running, locking files.
DAX operations require tables in the Data Model:
Step 1: Create table → Table exists
Step 2: table(action: 'add-to-datamodel') → Table in Data Model
Step 3: datamodel(action: 'create-measure') → NOW this works
BEST PRACTICE: Test-First Workflow
1. powerquery(action: 'evaluate', mCode: '...') → Test WITHOUT persisting
2. powerquery(action: 'create', ...) → Store validated query
3. powerquery(action: 'refresh', ...) → Load data
Why evaluate first:
Common mistake: Creating/updating without evaluate → pollutes workbook with broken queries
set-values on specific range (e.g., A5:C5 for row 5)Why: Preserves formatting, formulas, and references.
Error responses include actionable hints:
{
"success": false,
"errorMessage": "Table 'Sales' not found in Data Model",
"suggestedNextActions": ["table(action: 'add-to-data-model', tableName: 'Sales')"]
}
When writing many values/formulas (10+ cells), use calculation_mode to avoid recalculating after every write:
1. calculation_mode(action: 'set-mode', mode: 'manual') → Disable auto-recalc
2. Perform data writes (range set-values, set-formulas)
3. calculation_mode(action: 'calculate', scope: 'workbook') → Recalculate once at end
4. calculation_mode(action: 'set-mode', mode: 'automatic') → Restore default
When NOT needed: Reading formulas, small edits (1-10 cells), or when you need immediate calculation results.
| Task | Tool | Key Action |
|---|---|---|
| Create/open/save workbooks | file |
open, create, close |
| Write/read cell data | range |
set-values, get-values |
| Format cells | range |
set-number-format |
| Create tables from data | table |
create |
| Add table to Power Pivot | table |
add-to-data-model |
| Create DAX formulas | datamodel |
create-measure |
| Create PivotTables | pivottable |
create, create-from-datamodel |
| Filter with slicers | slicer |
set-slicer-selection |
| Create charts | chart |
create-from-range |
| Control calculation mode | calculation_mode |
get-mode, set-mode, calculate |
| Visual verification | screenshot |
capture, capture-sheet |
See references/ for detailed guidance:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
We added excel-mcp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
excel-mcp has been reliable in day-to-day use. Documentation quality is above average for community skills.
excel-mcp reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend excel-mcp for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: excel-mcp is focused, and the summary matches what you get after install.
excel-mcp is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in excel-mcp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: excel-mcp is focused, and the summary matches what you get after install.
excel-mcp has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: excel-mcp is the kind of skill you can hand to a new teammate without a long onboarding doc.
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