AIBase
EN
Explore
File Search MCP
F

File Search MCP

File Search MCP is a dedicated MCP server built on Rust, providing full-text search functionality for text files in the file system. It uses the Tantivy search engine for efficient indexing and retrieval.
Search toolsDeveloper tools#Full-text Search#File Retrieval#MCP Protocol.Rust
2.5 points
11.2K
Open Site

Content Details

Alternatives

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

๐Ÿš€ File Search MCP

A Model Context Protocol (MCP) server for full-text search in the file system, written in Rust.

๐Ÿš€ Quick Start

First, install the Rust SDK (download it from: https://www.rust-lang.org/).

Clone this repository:

git clone git@github.com:Kurogoma4D/file-search-mcp.git

Then add it to your MCP settings (in systems like Cursor, Claude, etc.).

  • Command: <repository_path>/target/release/file-search-mcp

Replace <repository_path> with the actual path of the cloned repository.

โœจ Features

  • Full-text Search: Search for keywords in text files within the directory structure.
  • File Content Reader: Read and display the content of a specific text file.
  • Intelligent File Recognition: Automatically identify text files and skip binary files.
  • MCP Integration: Compatible with systems supporting the Model Context Protocol.
  • In-memory Indexing: Create fast, temporary search indexes.
  • Score-based Results: Return search results with relevance scores.

๐Ÿ“ฆ Installation

First, install the Rust SDK (download it from: https://www.rust-lang.org/).

Clone this repository:

git clone git@github.com:Kurogoma4D/file-search-mcp.git

Then add it to your MCP settings (in systems like Cursor, Claude, etc.).

  • Command: <repository_path>/target/release/file-search-mcp

Replace <repository_path> with the actual path of the cloned repository.

๐Ÿ’ป Usage Examples

Search Tool

  • Description: Search for keywords in text files within the specified directory.
  • Parameters:
    • directory: The path of the directory to search.
    • keyword: The keyword to search for.

File Content Reader Tool

  • Description: Read and display the content of a specific file.
  • Parameters:
    • file_path: The path of the file to read.

๐Ÿ“š Documentation

File Search MCP is a tool that provides powerful full-text search functionality for text files in a specified directory. It uses the Tantivy search engine to efficiently index and search text content.

This project implements the Model Context Protocol (MCP), making it compatible with AI assistants and other systems that support this protocol.

๐Ÿ”ง Technical Details

Technology Stack

  • Rust: Used for performance, security, and concurrency.
  • Tantivy: A full-text search engine library written in Rust.
  • RMCP: A Rust implementation of the Model Context Protocol.
  • Tokio: An asynchronous runtime for Rust.

How It Works

  1. The server indexes text files in the specified directory, excluding binary files.
  2. It processes the content of text files and adds them to the Tantivy in-memory index.
  3. When a search is performed, it queries the index to find matches and sorts them by relevance.
  4. It returns the results, including the file path and relevance score.
  5. The file content reader tool allows you to view the content of a specific text file by providing its path.

๐Ÿ“„ License

MIT License

๐Ÿ™ Acknowledgments

  • The Tantivy team for providing the full-text search engine.
  • The RMCP team for implementing the Model Context Protocol.

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
16.2K
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
9.6K
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
9.2K
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
14.9K
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
7.8K
4 points
P
Paperbanana
Python
9.1K
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
9.7K
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
10.0K
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
38.2K
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
28.5K
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
81.9K
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
24.1K
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#
38.6K
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
69.9K
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
24.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
55.5K
4.8 points