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
11.9K

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

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
6.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
5.4K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.5K
4 points
P
Paperbanana
Python
6.8K
5 points
F
Finlab Ai
FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.
7.3K
4 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.6K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.7K
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
26.0K
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
73.6K
4.3 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
20.6K
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
36.0K
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#
32.8K
5 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
65.4K
4.5 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
22.2K
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
97.6K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase