Krep MCP Server
About
Krep MCP Server is a high-performance string search utility with MCP (Model Context Protocol) integration for the infinity-topos environment. It wraps the krep binary, an ultra-fast pattern matching utility, and exposes its functionality through MCP so AI assistants can perform…
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- High-Performance Search using optimized algorithms (KMP, Boyer-Moore-Horspool, Rabin-Karp)
- Hardware Acceleration: SIMD instructions (SSE4.2/AVX2/NEON) when available
- Optimized Multi-Threading: automatically uses all CPU cores
- Unified Interface: single function with file, string, and count modes
- MCP Integration: seamless connection with AI assistants
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Krep MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
First, ensure the krep binary is installed (e.g., make in the krep-native repository). Then configure the MCP server in your MCP settings file with the command, args, and env as shown in the README. Invoke the tool by calling the single unified function with parameters: pattern, target, mode (file, string, or count), caseSensitive, and threads. Integration with Cline VSCode extension is also supported via provided shell scripts.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"krep mcp server": {
"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"
]
}
}
}
}
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"
]
}
}
Krep MCP Server
A high-performance string search utility with MCP (Model Context Protocol) integration for the infinity-topos environment. This is a wrapper around krep, an ultra-fast pattern matching utility that significantly outperforms traditional tools like grep.
THE KREP-MCP-SERVER ABSURDITY DIAGRAM
====================================
+-----------------------------------------------------+
| |
| The KREP MCP Redundancy Zone |
| |
+-----^--------------------+------------------------+-+
| | |
+-----------+----------+ +------+-------------+ +------+-------+
| | | | | |
| M E T A D A T A | | F U N C T I O N | | B I N A R Y |
| E X P L O S I O N | | N A M E C H A O S| | H U N T |
| | | | | |
+-----+----------+-----+ +---+-----------+----+ +------+-------+
| | | | |
v v v v v
+--------+--+ +----+-----+ +---+----+ +---+-----+ +----+------+
| | | | | | | | | |
| "Unified" | | 37 Paths | | krep | |krepSearch| | 5 Error |
| Function | | To Find | | | |krepMatch | | Handlers |
| That Does | | The Same | | | |krepCount | | For |
| 3 Things | | Binary | | | | | | 1 Error |
| | | | | | | | | |
+-----------+ +----------+ +--------+ +----------+ +-----------+
+-----------------------------------------------------+
| |
| Configuration & Shell Script Hell |
| |
+-----^--------------------+------------------------+-+
| | |
+-----------+----------+ +------+-------------+ +------+-------+
| | | | | |
| 3 Scripts to | | Integer | | Test Mode |
| Install 1 Thing | | Arithmetic in | | that Mocks |
| | | Shell that says | | Success When|
| | | 0 + 0 = Syntax | | Everything |
| | | Error | | Fails |
+----------------------+ +--------------------+ +--------------+
"It's not redundant if it's resilient!"
- MCP Engineer, probably
Overview
Krep MCP Server provides a unified interface to the krep binary, a high-performance string search utility similar to grep but with optimized algorithms and multi-threading capabilities. It exposes krep's functionality through the Model Context Protocol, allowing AI assistants to perform efficient pattern searching in files and strings.
Features
- High-Performance Search: Uses optimized algorithms (KMP, Boyer-Moore-Horspool, Rabin-Karp) selected based on pattern length
- Hardware Acceleration: Leverages SIMD instructions (SSE4.2/AVX2 on x86/x64, NEON on ARM) when available
- Optimized Multi-Threading: Automatically uses all available CPU cores for maximum parallel search performance
- Unified Interface: Single function with multiple modes (file search, string search, count-only)
- MCP Integration: Seamless integration with AI assistants through the Model Context Protocol
Why This Codebase Is Tragic
This codebase demonstrates how a simple tool (a wrapper for a string search utility) became bloated with unnecessary complexity:
1. Simple Core, Complex Implementation: The actual functionality is straightforward but buried under layers of over-engineering
2. Documentation Overload: 15 documentation files for a tool that could be explained in a single well-structured README
3. Integration Madness: 3 separate integration systems (Cline, Claude Desktop, SDK), each with redundant scripts and documentation
4. Installation Script Proliferation: 7 installation scripts when one configurable script would suffice
5. Error Handling Duplication: Error handling duplicated at multiple levels rather than having a unified approach
6. Test Fragmentation: Test files scattered across the codebase rather than being organized systematically
7. Configuration Redundancy: Configuration files and environment variables duplicated across multiple components
8. Binary Path Overkill: Searches 37 different paths for a single binary that should be in one predictable location
What It Should Have Been:
┌──────────────────────┐
│ krep-mcp-server │
│ ┌────────────────┐ │
│ │ index.js │ │
│ │ - one function│ │
│ └────────────────┘ │
│ ┌────────────────┐ │
│ │ README.md │ │
│ │ - clear docs │ │
│ └────────────────┘ │
│ ┌────────────────┐ │
│ │ install.sh │ │
│ │ - one script │ │
│ └────────────────┘ │
└──────────────────────┘
Project Structure
Here's the actual project structure:
krep-mcp-server/
├── CLINE_README.md
├── CLINE_SETUP.md
├── CLAUDE_DESKTOP_INTEGRATION.md
├── CLAUDE_DESKTOP_README.md
├── EXAMPLES.md
├── IMPLEMENTATION_SUMMARY.md
├── INSTALL_NOW.md
├── LIFECYCLE_DESIGN.md
├── MCP_COMPLIANCE.md
├── MCP_URIS.md
├── README.md
├── SETUP_CLAUDE_DESKTOP.md
├── TESTING_STRATEGY.md
├── THREAD_OPTIMIZATION.md
├── analysis/
│ └── index.tree.json
├── auto-install-claude.sh
├── cline-config.js
├── direct-install.sh
├── eslint.config.js
├── fix-claude-desktop.sh
├── go-integration/
│ ├── example/
│ └── krep.go
├── install-claude-desktop.sh
├── install-cline-integration.sh
├── install-sdk-integrations.sh
├── jest.config.js
├── just-krep.sh
├── mcp-config.json
├── package-lock.json
├── package.json
├── python-integration/
│ └── krep_mcp_client.py
├── run-claude-desktop.sh
├── run-claude-integration.sh
├── run-cline-mcp-server.sh
├── run-cline-test.sh
├── run-tests.sh
├── run.sh
├── sdk-integration.js
├── src/
│ ├── index.js
│ ├── index.min.js
│ ├── mcp_server.js
│ └── mcp_server.min.js
├── Support/
│ └── Claude/
├── test/
│ ├── benchmark.js
│ ├── fixtures/
│ ├── integration/
│ ├── mcp_benchmark.js
│ ├── mock-server.js
│ ├── unit/
│ └── utils.js
└── various test scripts...
Installation
1. Ensure you have the krep binary installed:
cd /path/to/krep-native
make
2. Configure the MCP server in your MCP settings file:
{
"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"
]
}
}
}
Usage
The krep MCP server exposes a single unified function:
<use_mcp_tool>
<server_name>krep</server_name>
<tool_name>krep</tool_name>
<arguments>
{
"pattern": "search pattern",
"target": "file path or string to search",
"mode": "file|string|count",
"caseSensitive": true|false,
"threads": null // Automatically uses all CPU cores if not specified
}
</arguments>
</use_mcp_tool>
Parameters
- pattern (required): The pattern to search for
- target (required): File path or string to search in
- mode (optional): Search mode
- file (default): Search in a file
- string: Search in a string
- count: Count occurrences only
- caseSensitive (optional): Whether the search is case-sensitive (default: true)
- threads (optional): Number of threads to use (default: auto-detected based on CPU cores)
Examples
See examples.md for detailed usage examples and patterns.
How It Works
The krep MCP server works by:
1. Receiving requests through the Model Context Protocol
2. Parsing the request parameters
3. Building the appropriate krep command based on the mode and parameters
4. Executing the command using the krep binary
5. Parsing the results and returning them in a structured format
Performance
Krep is designed for high-performance pattern searching:
- Algorithm Selection: Automatically selects the optimal algorithm based on pattern length
- KMP (Knuth-Morris-Pratt) for very short patterns (< 3 characters)
- Boyer-Moore-Horspool for medium-length patterns (3-16 characters)
- Rabin-Karp for longer patterns (> 16 characters)
- Hardware Acceleration: Uses SIMD instructions when available
- Dynamic Multi-Threading: Automatically utilizes all available CPU cores for optimal parallel search performance
Cline VSCode Extension Integration
The krep-mcp-server can be integrated with the Cline VSCode extension, allowing you to use high-performance string search capabilities directly in your VSCode environment.
Installation with Cline
We provide an automatic installation script to set up the Cline integration:
```bash
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