Skip to main content
Glama
zhiwei5576

Excel MCP Server

by zhiwei5576

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
analyzeExcelStructureA

Get Excel file structure including sheet list and column headers in JSON format

exportExcelStructureA

Export Excel file structure (sheets and headers) to a new Excel template file

readSheetNamesB

Get all sheet names from the Excel file

readDataBySheetNameC

Get data from a specific sheet in the Excel file

readSheetDataC

Get data from all sheets in the Excel file

writeDataBySheetNameC

Write data to a specific sheet in the Excel file (overwrites if sheet exists)

writeSheetDataB

Create a new Excel file with provided data

clearFileCacheB

Clear cached data for the specified Excel file

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 8 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: structure analysis, cache clearing, template export, reading specific/all sheets or names, and writing to sheets or creating new files. No overlaps or ambiguities.

Naming Consistency4/5

Most tools follow a verb_target pattern (e.g., 'analyzeExcelStructure', 'readSheetNames'), but there is minor inconsistency: 'readDataBySheetName' vs 'readSheetData' differ in phrasing, and 'exportExcelStructure' uses 'export' instead of 'read' or 'get'.

Tool Count5/5

With 8 tools, the server is well-scoped for Excel file operations. Each tool provides essential functionality without unnecessary bloat or sparseness.

Completeness4/5

The server covers key operations: reading data, getting structure, writing data, creating files, and cache management. Minor gaps include lack of append/update operations or sheet deletion, but the core workflow is complete.

Maintenance

ActivityInactive
ResponsivenessNo issues