Question 1

What is Krep MCP Server?

Accepted Answer

Krep MCP Server is a high-performance string search utility integrated with the Model Context Protocol (MCP) for use within environments like UBOS. It's a wrapper around Krep, an ultra-fast pattern matching tool, offering significantly better performance than traditional tools like grep.

Question 2

What are the main features of Krep MCP Server?

Accepted Answer

Key features include high-performance search algorithms, hardware acceleration using SIMD instructions, optimized multi-threading to utilize all CPU cores, a unified interface, and seamless MCP integration.

Question 3

How does Krep MCP Server improve string searching?

Accepted Answer

Krep MCP Server improves string searching by utilizing optimized algorithms (KMP, Boyer-Moore-Horspool, Rabin-Karp) based on pattern length, leveraging hardware acceleration (SSE4.2/AVX2 on x86/x64, NEON on ARM), and automatically using all available CPU cores for parallel processing.

Question 4

What is MCP, and how does Krep MCP Server use it?

Accepted Answer

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Krep MCP Server uses MCP to allow AI models within UBOS to access and interact with its string search capabilities.

Question 5

What are some use cases for Krep MCP Server?

Accepted Answer

Use cases include log analysis and monitoring, data extraction and transformation, security threat detection, code analysis and refactoring, content moderation, research and discovery, compliance monitoring, and fraud detection.

Question 6

How do I install and configure Krep MCP Server?

Accepted Answer

Installation involves ensuring the Krep binary is installed, configuring the MCP server in your MCP settings file, and integrating it with your AI agents using the <use_mcp_tool> tag.

Question 7

What parameters can I use with the Krep MCP Server function?

Accepted Answer

Required parameters include `pattern` (the search pattern) and `target` (file path or string). Optional parameters are `mode` (file, string, or count), `caseSensitive` (true or false), and `threads` (number of threads to use).

Question 8

How do I integrate Krep MCP Server with Cline VSCode Extension?

Accepted Answer

You can use the provided automatic installation script (./install-cline-integration.sh) to set up the Cline integration. Then, use the `/krep` command within Cline conversations.

Question 9

What environment variables are used by Krep MCP Server?

Accepted Answer

Important environment variables include `CLAUDE_MCP` (to run in MCP mode), `KREP_PATH` (path to the Krep binary), `DEBUG` (for verbose logging), `KREP_TEST_MODE` (for test mode), and `KREP_SKIP_CHECK` (to skip Krep binary existence check).

Question 10

How does the Krep MCP Server handle algorithm selection?

Accepted Answer

Krep MCP Server automatically selects the most efficient algorithm based on pattern length: KMP for very short patterns, Boyer-Moore-Horspool for medium-length patterns, and Rabin-Karp for longer patterns.

Question 11

Does Krep MCP Server support case-insensitive searching?

Accepted Answer

Yes, you can set the `caseSensitive` parameter to `false` for case-insensitive searches.

Question 12

Can I specify the number of threads used for searching?

Accepted Answer

Yes, you can use the `threads` parameter to specify the number of threads. If not specified, the server automatically uses all available CPU cores.

Question 13

How does Krep MCP Server work with UBOS?

Accepted Answer

Krep MCP Server integrates seamlessly with the UBOS platform, enhancing AI agent capabilities by providing high-performance string search. UBOS enables centralized orchestration, customizable agents, and multi-agent systems.

Question 14

Where can I find detailed usage examples for Krep MCP Server?

Accepted Answer

Detailed usage examples can be found in the `examples.md` file.

Question 15

What is the license for Krep MCP Server?

Accepted Answer

The Krep MCP Server is licensed under the MIT License.

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