File Finder
F

File Finder

An MCP file search server implemented in Python
2 points
9.2K

What is the File Search MCP Server?

The File Search MCP Server is a tool based on the Model Context Protocol (MCP) designed to search your file system by entering file path fragments. It supports case-insensitive search and returns detailed file information such as file name, path, size, and creation time.

How to use the File Search MCP Server?

Simply enter the file path fragment in the Cline extension of VSCode, and the server will return a list of matching files.

Applicable Scenarios

This tool is particularly suitable for developers and content creators who need to frequently search for files, such as finding specific files in a project or managing a large number of documents.

Main Features

Intelligent File Search
Quickly locate files based on the entered path fragments.
Cross-Platform Compatibility
Supports multiple operating systems, including Windows, Linux, and MacOS.
Rich File Information
Returns the full path, size, and creation time of the file.
Advantages
Simple to operate, no complex configuration required.
Fast search speed and accurate results.
Supports multiple operating systems.
Provides detailed file information.
Limitations
Limited to local file system search.
Search results may be affected by disk permission restrictions.

How to Use

Install the Python Environment
Ensure that your computer has Python 3.9 or a higher version installed.
Clone the Code Repository
Run the following command to clone the project code: git clone https://github.com/kyan9400/file-finder-mcp.git.
Install Dependencies
Run pip install mcp in the project root directory to install the required Python packages.
Configure the Cline Extension
Edit the cline_config.json file in VSCode and add the MCP server configuration.
Start the Server
Run python file_finder_server.py to manually start the server.

Usage Examples

Search for files containing 'test'
Enter the query 'Search for files containing 'test'', and the server will return a list of matching files.
Search for all files located in the 'project' directory
Enter the query 'Search for all files located in the 'project' directory', and the server will return the files in the 'project' directory.

Frequently Asked Questions

Does the server support remote file systems?
How to stop the server?
Why are some files not found?

Related Resources

GitHub Code Repository
The source code and documentation of the project.
VSCode Cline Extension
The extension for integrating Cline in VSCode.

Installation

Copy the following command to your Client for configuration
{
       "mcpServers": {
         "file-finder-mcp": {
           "args": ["file_finder_server.py"],
           "command": "python",
           "autoApprove": [],
           "disabled": false
         }
       }
     }
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
7.1K
5 points
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
5.6K
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
5.2K
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
3.6K
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
6.1K
4 points
P
Paperbanana
Python
6.7K
5 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
5.8K
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
6.6K
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
20.4K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.2K
4.3 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
24.6K
4.3 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
35.5K
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#
32.2K
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
64.5K
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
22.1K
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
97.2K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase