AIBase
EN
Explore
Bmorphism Krep MCP Server
B

Bmorphism Krep MCP Server

The Krep MCP Server is a high - performance string search tool that provides optimized pattern matching functions for AI assistants through the MCP protocol. Although the core functions are simple, the project has problems such as over - engineering, redundant documentation, and chaotic integration.
Search toolsDeveloper tools#String Search#High Performance#MCP Integration#Pattern Matching.JavaScript
2 points
6.2K
Open Site

Overview

Installation

Content Details

Alternatives

What is the Krep MCP Server?

The Krep MCP Server is a unified interface based on the high - performance string search tool krep, which provides efficient and reliable pattern matching functions through the Model Context Protocol (MCP). It is suitable for file and string searches, supports multi - threaded processing, and has excellent performance.

How to use the Krep MCP Server?

The Krep MCP Server sends requests to the MCP server, parses parameters, and executes search tasks. You can call it through simple command - lines or integrated tools.

Applicable Scenarios

The Krep MCP Server is suitable for application scenarios that require fast large - scale string searches, such as log analysis, code auditing, and big data processing.

Main Features

Efficient Search
Achieve high - performance pattern matching using KMP, Boyer - Moore - Horspool, and Rabin - Karp algorithms.
Hardware Acceleration
Support the SIMD instruction set (SSE4.2/AVX2/NEON) to improve search speed.
Dynamic Multi - threading
Automatically detect the number of CPU cores and allocate appropriate threads.
Integration and Expansion
Seamlessly integrate into various environments, such as Cline, Claude Desktop, etc.
Advantages
Fast search speed, outperforming traditional tools.
Support multiple pattern matching algorithms to adapt to patterns of different lengths.
Easy to integrate into existing systems.
Hardware acceleration improves computational efficiency.
Limitations
Memory management may need to be optimized for extremely large files.
The installation and configuration process may be slightly complicated.
It depends on specific hardware features, and some devices may not fully发挥 their performance.

How to Use

Install the Krep MCP Server
Ensure that the krep binary file is installed, and then configure the MCP server path.
Configure the MCP Server
Add the Krep server configuration to the MCP settings file.
Send a Search Request
Send a request through the MCP protocol to execute a search task.

Usage Examples

Case 1: File Search
Search for a specific keyword in a file.
Case 2: String Search
Find a keyword in a piece of text.

Frequently Asked Questions

How to check if the Krep MCP Server is working properly?
How to improve search performance?
Does it support multi - threaded search?

Related Resources

Official Documentation
Official documentation for the Krep native tool.
GitHub Repository
Source code repository for the Krep MCP Server.
Example Tutorial
Step - by - step guide on how to use the Krep MCP Server.

Installation

Copy the following command to your Client for configuration
{
     "mcpServers": {
       "krep": {
         "command": "node",
         "args": [
           "/path/to/krep-mcp-server/src/index.js"
         ],
         "env": {
           "CLAUDE_MCP": "true",
           "KREP_PATH": "/path/to/krep-native/krep",
           "DEBUG": "true"
         },
         "description": "High-performance string search utility with unified interface",
         "disabled": false,
         "autoApprove": [
           "krep"
         ]
       }
     }
   }
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
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
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
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
10.0K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
11.8K
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
English简体中文繁體中文にほんご
© 2025AIBase