Frequently Asked Questions about Krep MCP Server

Q: What is Krep MCP Server?

A: 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.

Q: What are the main features of Krep MCP Server?

A: 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.

Q: How does Krep MCP Server improve string searching?

A: 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.

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

A: 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.

Q: What are some use cases for Krep MCP Server?

A: 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.

Q: How do I install and configure Krep MCP Server?

A: 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.

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

A: 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).

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

A: 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.

Q: What environment variables are used by Krep MCP Server?

A: 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).

Q: How does the Krep MCP Server handle algorithm selection?

A: 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.

Q: Does Krep MCP Server support case-insensitive searching?

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

Q: Can I specify the number of threads used for searching?

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

Q: How does Krep MCP Server work with UBOS?

A: 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.

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

A: Detailed usage examples can be found in the examples.md file.

Q: What is the license for Krep MCP Server?

A: The Krep MCP Server is licensed under the MIT License.