Excel MCP Server

Created By
yzflya year ago
The Excel MCP Server is a powerful tool that enables natural language interaction with Excel files through the Model Context Protocol (MCP). It provides a comprehensive set of capabilities for reading, analyzing, visualizing, and writing Excel data.
Overview

What is Excel MCP Server?

Excel MCP Server is a powerful tool that enables natural language interaction with Excel files through the Model Context Protocol (MCP), allowing users to read, analyze, visualize, and write Excel data seamlessly.

How to use Excel MCP Server?

To use the Excel MCP Server, set up a Python environment, install the necessary dependencies, and integrate it with Claude Desktop for natural language commands.

Key features of Excel MCP Server?

  • Excel File Operations: Read and write multiple Excel formats (XLSX, XLS, CSV, TSV, JSON), get file information, and sheet names.
  • Data Analysis: Perform summary statistics, data quality assessments, and create pivot tables.
  • Visualization: Generate charts and plots from Excel data and export visualizations as images.

Use cases of Excel MCP Server?

  1. Analyzing sales data from Excel files.
  2. Creating visual representations of data trends.
  3. Filtering and querying large datasets for insights.

FAQ from Excel MCP Server?

  • Can I use Excel MCP Server with any Excel file format?

Yes! It supports XLSX, XLS, CSV, TSV, and JSON formats.

  • Is there a limit on file size?

Yes, there are security considerations that limit file size to prevent performance issues.

  • How do I install the Excel MCP Server?

Follow the installation instructions provided in the documentation to set up the server in a Python environment.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
yzfly
Star
31
Language
Python
License
-

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago