# Excel MCP Server usage statistics

Excel MCP Server lets GitHub Copilot, Claude, and other AI assistants automate the real Microsoft Excel application. This public report shows how the open-source project is used and where reliability can improve.

New to the project? [Install Excel MCP Server](/installation/) to get started.

!!! info "Anonymous public report"
    This page shows broad usage patterns, not individual activity. Names, file details, locations, and the content of workbooks are never included.

**Last updated:** Aug 28, 2026  
**Period covered:** May 30, 2026 to Aug 28, 2026

## At a glance

<div class="grid cards analytics-cards" markdown>

- :material-account-group: **2,916 users**

    Used Excel MCP during the last 90 days.

- :material-lightning-bolt: **837,077 actions**

    Recorded across workbooks, cells, data, charts, and automation.

- :material-calendar-refresh: **60.34% returned**

    Used Excel MCP on at least two different days.

</div>

## Usage over the last 12 complete weeks

Each bar is one full week, which makes changes easier to compare.

<div class="analytics-week-chart" role="group" aria-label="Users each week">
  <strong>Users each week</strong>
  <div class="analytics-week-chart__body">
    <div class="analytics-week-chart__y-axis" aria-hidden="true">
      <span>830</span>
      <span>415</span>
      <span>0</span>
    </div>
  <div class="analytics-week-chart__plot" role="list">
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of May 31: 383">
      <span style="height: 46.14%" aria-hidden="true"></span>
      <small>May 31</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jun 07: 426">
      <span style="height: 51.33%" aria-hidden="true"></span>
      <small>Jun 07</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jun 14: 212">
      <span style="height: 25.54%" aria-hidden="true"></span>
      <small>Jun 14</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jun 21: 170">
      <span style="height: 20.48%" aria-hidden="true"></span>
      <small>Jun 21</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jun 28: 369">
      <span style="height: 44.46%" aria-hidden="true"></span>
      <small>Jun 28</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jul 05: 363">
      <span style="height: 43.73%" aria-hidden="true"></span>
      <small>Jul 05</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jul 12: 595">
      <span style="height: 71.69%" aria-hidden="true"></span>
      <small>Jul 12</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jul 19: 691">
      <span style="height: 83.25%" aria-hidden="true"></span>
      <small>Jul 19</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jul 26: 721">
      <span style="height: 86.87%" aria-hidden="true"></span>
      <small>Jul 26</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Aug 02: 696">
      <span style="height: 83.86%" aria-hidden="true"></span>
      <small>Aug 02</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Aug 09: 774">
      <span style="height: 93.25%" aria-hidden="true"></span>
      <small>Aug 09</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Aug 16: 830">
      <span style="height: 100.00%" aria-hidden="true"></span>
      <small>Aug 16</small>
    </div>
    </div>
  </div>
</div>

<div class="analytics-week-chart" role="group" aria-label="Actions each week">
  <strong>Actions each week</strong>
  <div class="analytics-week-chart__body">
    <div class="analytics-week-chart__y-axis" aria-hidden="true">
      <span>148,405</span>
      <span>74,202.5</span>
      <span>0</span>
    </div>
  <div class="analytics-week-chart__plot" role="list">
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of May 31: 34,944">
      <span style="height: 23.55%" aria-hidden="true"></span>
      <small>May 31</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jun 07: 29,716">
      <span style="height: 20.02%" aria-hidden="true"></span>
      <small>Jun 07</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jun 14: 13,227">
      <span style="height: 8.91%" aria-hidden="true"></span>
      <small>Jun 14</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jun 21: 9,021">
      <span style="height: 6.08%" aria-hidden="true"></span>
      <small>Jun 21</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jun 28: 28,700">
      <span style="height: 19.34%" aria-hidden="true"></span>
      <small>Jun 28</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jul 05: 20,047">
      <span style="height: 13.51%" aria-hidden="true"></span>
      <small>Jul 05</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jul 12: 63,350">
      <span style="height: 42.69%" aria-hidden="true"></span>
      <small>Jul 12</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jul 19: 83,786">
      <span style="height: 56.46%" aria-hidden="true"></span>
      <small>Jul 19</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Jul 26: 80,582">
      <span style="height: 54.30%" aria-hidden="true"></span>
      <small>Jul 26</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Aug 02: 99,799">
      <span style="height: 67.25%" aria-hidden="true"></span>
      <small>Aug 02</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Aug 09: 148,405">
      <span style="height: 100.00%" aria-hidden="true"></span>
      <small>Aug 09</small>
    </div>
    <div class="analytics-week-chart__week" role="listitem" aria-label="Week of Aug 16: 124,514">
      <span style="height: 83.90%" aria-hidden="true"></span>
      <small>Aug 16</small>
    </div>
    </div>
  </div>
</div>

## Release upgrades over time

Each column is one week; the final column is the current week so far. A user appears once, under the latest release they used that week. This makes it easy to see newer releases replace older ones without overall user growth changing the scale. Less common releases are grouped as **Other**.

<div class="analytics-version-chart" role="group" aria-label="Share of users by release each week">
  <div class="analytics-version-chart__legend" aria-hidden="true">
    <span><i style="background: #4051b5"></i>1.10.3</span>
    <span><i style="background: #008b8b"></i>1.8.70</span>
    <span><i style="background: #d97706"></i>1.9.5</span>
    <span><i style="background: #db2777"></i>1.10.5</span>
    <span><i style="background: #7c3aed"></i>2.0.0</span>
    <span><i style="background: #15803d"></i>2.0.2</span>
    <span><i style="background: #dc2626"></i>2.0.1</span>
    <span><i style="background: #64748b"></i>2.0.3</span>
    <span><i style="background: #0891b2"></i>Other</span>
  </div>
  <div class="analytics-version-chart__body">
    <div class="analytics-version-chart__y-axis" aria-hidden="true">
      <span>100%</span>
      <span>50%</span>
      <span>0%</span>
    </div>
    <div class="analytics-version-chart__plot" role="list">
      <div class="analytics-version-chart__week" role="listitem" aria-label="Week of Jun 07. 1.8.70: 12.06%, Other: 87.94%">
        <div class="analytics-version-chart__stack" aria-hidden="true">
          <span title="1.8.70: 12.06% (51 users)" style="height: 12.06%; background: #008b8b"></span>
          <span title="Other: 87.94% (372 users)" style="height: 87.94%; background: #0891b2"></span>
        </div>
        <small>Jun 07</small>
      </div>
      <div class="analytics-version-chart__week" role="listitem" aria-label="Week of Jun 14. 1.8.70: 46.92%, Other: 53.08%">
        <div class="analytics-version-chart__stack" aria-hidden="true">
          <span title="1.8.70: 46.92% (99 users)" style="height: 46.92%; background: #008b8b"></span>
          <span title="Other: 53.08% (112 users)" style="height: 53.08%; background: #0891b2"></span>
        </div>
        <small>Jun 14</small>
      </div>
      <div class="analytics-version-chart__week" role="listitem" aria-label="Week of Jun 21. 1.8.70: 61.99%, Other: 38.01%">
        <div class="analytics-version-chart__stack" aria-hidden="true">
          <span title="1.8.70: 61.99% (106 users)" style="height: 61.99%; background: #008b8b"></span>
          <span title="Other: 38.01% (65 users)" style="height: 38.01%; background: #0891b2"></span>
        </div>
        <small>Jun 21</small>
      </div>
      <div class="analytics-version-chart__week" role="listitem" aria-label="Week of Jun 28. 1.8.70: 27.57%, Other: 72.43%">
        <div class="analytics-version-chart__stack" aria-hidden="true">
          <span title="1.8.70: 27.57% (102 users)" style="height: 27.57%; background: #008b8b"></span>
          <span title="Other: 72.43% (268 users)" style="height: 72.43%; background: #0891b2"></span>
        </div>
        <small>Jun 28</small>
      </div>
      <div class="analytics-version-chart__week" role="listitem" aria-label="Week of Jul 05. 1.8.70: 14.96%, Other: 85.04%">
        <div class="analytics-version-chart__stack" aria-hidden="true">
          <span title="1.8.70: 14.96% (54 users)" style="height: 14.96%; background: #008b8b"></span>
          <span title="Other: 85.04% (307 users)" style="height: 85.04%; background: #0891b2"></span>
        </div>
        <small>Jul 05</small>
      </div>
      <div class="analytics-version-chart__week" role="listitem" aria-label="Week of Jul 12. 1.8.70: 10.25%, 1.9.5: 34.45%, Other: 55.29%">
        <div class="analytics-version-chart__stack" aria-hidden="true">
          <span title="1.8.70: 10.25% (61 users)" style="height: 10.25%; background: #008b8b"></span>
          <span title="1.9.5: 34.45% (205 users)" style="height: 34.45%; background: #d97706"></span>
          <span title="Other: 55.29% (329 users)" style="height: 55.29%; background: #0891b2"></span>
        </div>
        <small>Jul 12</small>
      </div>
      <div class="analytics-version-chart__week" role="listitem" aria-label="Week of Jul 19. 1.8.70: 8.39%, 1.9.5: 37.05%, Other: 54.56%">
        <div class="analytics-version-chart__stack" aria-hidden="true">
          <span title="1.8.70: 8.39% (58 users)" style="height: 8.39%; background: #008b8b"></span>
          <span title="1.9.5: 37.05% (256 users)" style="height: 37.05%; background: #d97706"></span>
          <span title="Other: 54.56% (377 users)" style="height: 54.56%; background: #0891b2"></span>
        </div>
        <small>Jul 19</small>
      </div>
      <div class="analytics-version-chart__week" role="listitem" aria-label="Week of Jul 26. 1.10.3: 37.5%, 1.8.70: 6.81%, 1.9.5: 10.97%, Other: 44.72%">
        <div class="analytics-version-chart__stack" aria-hidden="true">
          <span title="1.10.3: 37.5% (270 users)" style="height: 37.50%; background: #4051b5"></span>
          <span title="1.8.70: 6.81% (49 users)" style="height: 6.81%; background: #008b8b"></span>
          <span title="1.9.5: 10.97% (79 users)" style="height: 10.97%; background: #d97706"></span>
          <span title="Other: 44.72% (322 users)" style="height: 44.72%; background: #0891b2"></span>
        </div>
        <small>Jul 26</small>
      </div>
      <div class="analytics-version-chart__week" role="listitem" aria-label="Week of Aug 02. 1.10.3: 47.63%, 1.8.70: 6.62%, 1.9.5: 5.61%, 1.10.5: 5.47%, Other: 34.68%">
        <div class="analytics-version-chart__stack" aria-hidden="true">
          <span title="1.10.3: 47.63% (331 users)" style="height: 47.63%; background: #4051b5"></span>
          <span title="1.8.70: 6.62% (46 users)" style="height: 6.62%; background: #008b8b"></span>
          <span title="1.9.5: 5.61% (39 users)" style="height: 5.61%; background: #d97706"></span>
          <span title="1.10.5: 5.47% (38 users)" style="height: 5.47%; background: #db2777"></span>
          <span title="Other: 34.68% (241 users)" style="height: 34.68%; background: #0891b2"></span>
        </div>
        <small>Aug 02</small>
      </div>
      <div class="analytics-version-chart__week" role="listitem" aria-label="Week of Aug 09. 1.10.3: 12.44%, 1.8.70: 5.31%, 1.9.5: 4.15%, 1.10.5: 46.24%, Other: 31.87%">
        <div class="analytics-version-chart__stack" aria-hidden="true">
          <span title="1.10.3: 12.44% (96 users)" style="height: 12.44%; background: #4051b5"></span>
          <span title="1.8.70: 5.31% (41 users)" style="height: 5.31%; background: #008b8b"></span>
          <span title="1.9.5: 4.15% (32 users)" style="height: 4.15%; background: #d97706"></span>
          <span title="1.10.5: 46.24% (357 users)" style="height: 46.24%; background: #db2777"></span>
          <span title="Other: 31.87% (246 users)" style="height: 31.87%; background: #0891b2"></span>
        </div>
        <small>Aug 09</small>
      </div>
      <div class="analytics-version-chart__week" role="listitem" aria-label="Week of Aug 16. 1.10.3: 7.59%, 1.8.70: 4.58%, 1.9.5: 3.25%, 1.10.5: 13.01%, 2.0.0: 3.73%, Other: 67.83%">
        <div class="analytics-version-chart__stack" aria-hidden="true">
          <span title="1.10.3: 7.59% (63 users)" style="height: 7.59%; background: #4051b5"></span>
          <span title="1.8.70: 4.58% (38 users)" style="height: 4.58%; background: #008b8b"></span>
          <span title="1.9.5: 3.25% (27 users)" style="height: 3.25%; background: #d97706"></span>
          <span title="1.10.5: 13.01% (108 users)" style="height: 13.01%; background: #db2777"></span>
          <span title="2.0.0: 3.73% (31 users)" style="height: 3.73%; background: #7c3aed"></span>
          <span title="Other: 67.83% (563 users)" style="height: 67.83%; background: #0891b2"></span>
        </div>
        <small>Aug 16</small>
      </div>
      <div class="analytics-version-chart__week" role="listitem" aria-label="Week of Aug 23. 1.10.3: 6.83%, 1.8.70: 3.88%, 1.9.5: 2.81%, 1.10.5: 5.89%, 2.0.0: 12.72%, 2.0.2: 15.13%, 2.0.1: 13.92%, 2.0.3: 2.28%, Other: 36.55%">
        <div class="analytics-version-chart__stack" aria-hidden="true">
          <span title="1.10.3: 6.83% (51 users)" style="height: 6.83%; background: #4051b5"></span>
          <span title="1.8.70: 3.88% (29 users)" style="height: 3.88%; background: #008b8b"></span>
          <span title="1.9.5: 2.81% (21 users)" style="height: 2.81%; background: #d97706"></span>
          <span title="1.10.5: 5.89% (44 users)" style="height: 5.89%; background: #db2777"></span>
          <span title="2.0.0: 12.72% (95 users)" style="height: 12.72%; background: #7c3aed"></span>
          <span title="2.0.2: 15.13% (113 users)" style="height: 15.13%; background: #15803d"></span>
          <span title="2.0.1: 13.92% (104 users)" style="height: 13.92%; background: #dc2626"></span>
          <span title="2.0.3: 2.28% (17 users)" style="height: 2.28%; background: #64748b"></span>
          <span title="Other: 36.55% (273 users)" style="height: 36.55%; background: #0891b2"></span>
        </div>
        <small>Aug 23</small>
      </div>
    </div>
  </div>
</div>

## The latest two weeks

The latest period is **Aug 14, 2026 to Aug 28, 2026**. It is compared with **Jul 31, 2026 to Aug 14, 2026**.

| Measure | Latest 14 days | Previous 14 days | Change |
|---|---|---|---|
| Users | 1,280 | 1,107 | 15.63% |
| Actions | 282,279 | 201,195 | 40.3% |

## What the numbers tell us

!!! note "Summary written by GitHub Copilot"
    Copilot reads only the anonymous totals used to build this page. Its summary is checked automatically so it cannot add private details or numbers that are not in the report.

## What changed

Over the last 90 days, 2,916 users asked Excel MCP to carry out 837,077 meaningful actions. 60.34 percent used it on at least two different days. This suggests that many people continue using the project after first trying it.

Growth remained strong in the latest 14 days. Users increased from 1,107 to 1,280, a rise of 15.63 percent. Actions increased from 201,195 to 282,279, a larger rise of 40.3 percent. Actions growing faster than users suggests that people are doing more work with Excel MCP, not only discovering it.

The longer view supports that pattern. The first complete week shown had 383 users and 34,944 actions. The latest complete week had 830 users and 124,514 actions. It followed a peak of 148,405 actions, so use remains high even though weekly totals naturally vary.

## How well it worked

Corrected error counting now covers 1,018 actions from 17 users on release 2.0.3. It recorded 48 errors, or 4.72 percent of actions. This is still an early result, so it is a starting point rather than a verdict on the release.

Writing cell values accounted for 10 errors. Writing formulas and checking the Excel data model each accounted for 6, while listing worksheets accounted for 5. Writing formulas had a 27.27 percent error rate based on 22 actions. Showing both the count and the rate prevents a small number of actions from looking more important than they are.

## How people use it

Tables and ranges account for 66.01 percent of meaningful actions. Worksheets and connections add 11.86 percent, while PivotTables and charts add 7.9 percent. Practical spreadsheet work is clearly the center of how people use Excel MCP.

Use also reaches the project's specialist features. VBA macros account for 5.88 percent of actions, Power Query for 4.4 percent, and Power Pivot and DAX for 1.86 percent. Agent mode accounts for 1.01 percent, while Python in Excel is still emerging at 0.02 percent.

The upgrade chart shows several releases in active use. In the current week, 2.0.2 is the largest individually shown release at 15.13 percent, followed by 2.0.1 at 13.92 percent and 2.0.0 at 12.72 percent. The newest 2.0.3 release accounts for 2.28 percent so far.

## What we will improve

We will first investigate errors when writing cell values and formulas because tables and ranges make up the largest part of use. We will also examine problems when checking the data model and listing worksheets.

We will watch the upgrade chart to see how quickly newer fixes reach users. We will also keep action counts beside error rates, helping us focus on repeated problems instead of large percentages based on very few actions.

## What people use most

The bars group actions by the main features highlighted on the Excel MCP homepage. The percentage is each feature's share of meaningful actions. Smaller capabilities are grouped as **Other features**.

<div class="analytics-bars" role="list">
  <div class="analytics-bars__row" role="listitem">
    <div class="analytics-bars__label">
      <span>Tables &amp; ranges</span><strong>66.01%</strong>
    </div>
    <div class="analytics-bars__track" aria-hidden="true">
      <span style="width: 100.00%"></span>
    </div>
  </div>
  <div class="analytics-bars__row" role="listitem">
    <div class="analytics-bars__label">
      <span>Worksheets &amp; connections</span><strong>11.86%</strong>
    </div>
    <div class="analytics-bars__track" aria-hidden="true">
      <span style="width: 17.97%"></span>
    </div>
  </div>
  <div class="analytics-bars__row" role="listitem">
    <div class="analytics-bars__label">
      <span>PivotTables &amp; charts</span><strong>7.9%</strong>
    </div>
    <div class="analytics-bars__track" aria-hidden="true">
      <span style="width: 11.97%"></span>
    </div>
  </div>
  <div class="analytics-bars__row" role="listitem">
    <div class="analytics-bars__label">
      <span>VBA macros</span><strong>5.88%</strong>
    </div>
    <div class="analytics-bars__track" aria-hidden="true">
      <span style="width: 8.91%"></span>
    </div>
  </div>
  <div class="analytics-bars__row" role="listitem">
    <div class="analytics-bars__label">
      <span>Power Query &amp; M code</span><strong>4.4%</strong>
    </div>
    <div class="analytics-bars__track" aria-hidden="true">
      <span style="width: 6.67%"></span>
    </div>
  </div>
  <div class="analytics-bars__row" role="listitem">
    <div class="analytics-bars__label">
      <span>Power Pivot &amp; DAX</span><strong>1.86%</strong>
    </div>
    <div class="analytics-bars__track" aria-hidden="true">
      <span style="width: 2.82%"></span>
    </div>
  </div>
  <div class="analytics-bars__row" role="listitem">
    <div class="analytics-bars__label">
      <span>Other features</span><strong>1.05%</strong>
    </div>
    <div class="analytics-bars__track" aria-hidden="true">
      <span style="width: 2.00%"></span>
    </div>
  </div>
  <div class="analytics-bars__row" role="listitem">
    <div class="analytics-bars__label">
      <span>Agent mode</span><strong>1.01%</strong>
    </div>
    <div class="analytics-bars__track" aria-hidden="true">
      <span style="width: 2.00%"></span>
    </div>
  </div>
  <div class="analytics-bars__row" role="listitem">
    <div class="analytics-bars__label">
      <span>Python in Excel</span><strong>0.02%</strong>
    </div>
    <div class="analytics-bars__track" aria-hidden="true">
      <span style="width: 2.00%"></span>
    </div>
  </div>
</div>

| Homepage feature | Actions | Users | Share |
|---|---|---|---|
| Tables & ranges | 507,748 | 2,608 | 66.01% |
| Worksheets & connections | 91,198 | 2,794 | 11.86% |
| PivotTables & charts | 60,780 | 1,514 | 7.9% |
| VBA macros | 45,216 | 780 | 5.88% |
| Power Query & M code | 33,876 | 450 | 4.4% |
| Power Pivot & DAX | 14,288 | 262 | 1.86% |
| Other features | 8,114 | 348 | 1.05% |
| Agent mode | 7,742 | 728 | 1.01% |
| Python in Excel | 179 | 44 | 0.02% |

## Most common actions

| Action | Times used | Users |
|---|---|---|
| Read cell values | 129,152 | 2,208 |
| Write cell values | 83,557 | 1,854 |
| Write formulas | 38,898 | 1,044 |
| Find the used area | 31,744 | 2,027 |
| Format cells | 30,445 | 1,149 |
| Read formulas | 29,171 | 1,092 |
| List open workbooks | 24,079 | 2,111 |
| List worksheets | 23,234 | 2,392 |

## Actions reporting errors

Accurate error counting began on **Aug 27, 2026** with the latest patch release. Earlier releases are excluded because they did not count every kind of failed action.

| Action | Actions | Errors | Error rate | Users |
|---|---|---|---|---|
| Write cell values | 111 | 10 | 9.01% | 8 |
| Write formulas | 22 | 6 | 27.27% | 5 |
| Datamodel Evaluate | 50 | 6 | 12% | 1 |
| List worksheets | 38 | 5 | 13.16% | 14 |
| File Test | 13 | 3 | 23.08% | 3 |
| Read cell values | 159 | 3 | 1.89% | 12 |
| Vba Import | 2 | 2 | 100% | 1 |
| Find the used area | 38 | 2 | 5.26% | 9 |
| Workbook Save Copy As | 6 | 2 | 33.33% | 2 |
| Pivottable Refresh | 4 | 1 | 25% | 2 |
| Find cells | 14 | 1 | 7.14% | 2 |
| Datamodel Create Measure | 33 | 1 | 3.03% | 1 |
| Screenshot Capture Sheet | 7 | 1 | 14.29% | 5 |
| Range Edit Insert Rows | 3 | 1 | 33.33% | 2 |
| Format cells | 38 | 1 | 2.63% | 6 |

## Errors by release

This comparison can reveal a problem introduced in a release. It is not a direct quality score: different releases may be used for different kinds of work. The action count shows how much data each rate is based on.

| Release | Actions | Errors | Error rate | Users |
|---|---|---|---|---|
| 2.0.3 | 1,018 | 48 | 4.72% | 17 |

## Problems we are watching

No broadly shared background problem appeared during this period.

## How this report protects privacy

The report is built from anonymous counts and percentages. We do not publish or give Copilot user or session codes, file fingerprints, locations, messages, workbook content, error messages, or technical error details.

Excel MCP never intentionally collects workbook contents, cell values, formulas, prompts, messages, file names or paths, names, email addresses, or account details. Read the full [privacy policy](/privacy/).

You can inspect exactly how the report is built in [`Update-UsageAnalytics.ps1`](https://github.com/sbroenne/mcp-server-excel/blob/main/scripts/Update-UsageAnalytics.ps1) and [`usage-analytics.yml`](https://github.com/sbroenne/mcp-server-excel/blob/main/.github/workflows/usage-analytics.yml).
