Fastexcel MCP Server
F

Fastexcel MCP Server

Java - based MCP service for Excel operations, providing efficient reading, cache support, and multi - workspace management functions
2.5 points
10.0K

What is FastExcel MCP Server?

FastExcel MCP Server is a server program developed based on Java, specifically designed to process Excel files (XLSX/XLS/CSV). It implements the Model Context Protocol (MCP), which can quickly read the headers and data rows of Excel files and provides a caching mechanism to accelerate repeated access.

How to use FastExcel MCP Server?

You can connect to the MCP server by configuring the Claude Desktop client or directly obtain Excel file data through API calls. The server restricts access to files only in the pre - configured working directory.

Applicable scenarios

Suitable for scenarios that require frequent reading of Excel file contents, such as data analysis, report generation, data conversion, etc. It is particularly suitable for handling large Excel files or situations where the same file needs to be accessed repeatedly.

Main features

Excel file reading
Supports reading files in XLSX, XLS, and CSV formats and can recognize multiple worksheets (sheets).
Header mapping
Automatically establishes the association between headers and data columns, facilitating data access by column names.
Performance caching
Built - in caching mechanism for faster access when repeatedly accessing the same file.
Multi - worksheet support
Can handle Excel files containing multiple worksheets and access specific worksheets by name or index.
Row count
Quickly get the total number of data rows (excluding the header row).
Advantages
High - performance processing of large Excel files
Built - in caching mechanism to improve repeated access speed
Standardized API interface for easy integration
Supports multiple Excel formats (XLSX/XLS/CSV)
Configurable workspace security restrictions
Limitations
Can only read Excel files, does not support modification
Requires a Java runtime environment
File access is restricted to the configured workspace
Caching requires memory resources

How to use

Install the Java environment
Ensure that the system has JDK 17 or a higher version installed (GraalVM is recommended).
Download the server program
Get the latest fastexcel - mcp - server - *.jar file.
Configure the workspace
Set the MCP_WORKSPACES environment variable to specify the directories allowed to be accessed.
Start the server
Run the jar file using the Java command.
Integrate into Claude Desktop
Add the server configuration to claude_desktop_config.json.

Usage examples

Get the number of rows in sales data
Count the number of data records in the sales report
Read the headers of the product catalog
Get the column name information of the product Excel file
Analyze customer data
Read the first 100 rows of data from the customer information table

Frequently Asked Questions

Why can't I access some Excel files?
How to improve the reading speed of large files?
Does it support modifying Excel files?
How long will the cached data be saved?
How to check which files have been cached?

Related resources

Apache POI official website
Official documentation for the Java Excel processing library
GraalVM download
High - performance JDK download
MCP protocol description
Official description of the Model Context Protocol
Sample configuration file
Sample configuration for Claude Desktop integration

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "fastexcel-mcp-server": {
      "command": "java",
      "args": [
        "-jar",
        "<YOUR_PATH>/fastexcel-mcp-server-0.0.1-SNAPSHOT.jar"
      ],
      "env": {
        "MCP_WORKSPACES": "<YOUR_MULTIPLE_WORKSPACES_SEPARATED_BY_COMMAS>",
        "CACHE_INITIAL_CAPACITY": "[OPTIONAL] <MINIMUM_TOTAL_SIZE_FOR_THE_INTERNAL_DATA_STRUCTURES> <DEFAULT: 100>",
        "CACHE_MAXIMUM_SIZE": "[OPTIONAL] <MAXIMUM_NUMBER_OF_ENTRIES_THE_CACHE_MAY_CONTAIN> <DEFAULT: 1000>",
        "CACHE_EXPIRE_AFTER_WRITE": "[OPTIONAL] <LENGTH_OF_TIME_AFTER_AN_ENTRY_IS_CREATED_THAT_IT_SHOULD_BE_AUTOMATICALLY_REMOVED> <DEFAULT: 35s>"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
5.7K
5 points
M
Maverick MCP
Python
5.9K
4 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
9.8K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
8.2K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.4K
5 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
13.1K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
13.0K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
9.7K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
17.5K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
28.6K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.5K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
53.9K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
51.3K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
24.3K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
17.2K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
75.7K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase