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File Context Server

Created by bsmi0212025/04/09
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What is File Context Server?

what is File Context Server? File Context Server is a Model Context Protocol (MCP) server designed to provide file system context to Large Language Models (LLMs), enabling them to read, search, and analyze code files with advanced caching and real-time file watching capabilities. how to use File Context Server? To use the File Context Server, install it via npm and start the server using the command npx file-context-server. You can then utilize various tools to list files, read file contents, search for patterns, and analyze code quality. key features of File Context Server? File Operations: Read file contents, list files with metadata, real-time file watching, and support for multiple encodings. Code Analysis: Calculate cyclomatic complexity, extract dependencies, and analyze comments with quality metrics. Smart Caching: Implement LRU caching, automatic cache invalidation, and performance metrics. Advanced Search: Support for regex pattern matching, context-aware results, and multi-pattern searches. use cases of File Context Server? Assisting LLMs in understanding and analyzing codebases. Providing real-time context for code review and debugging. Enhancing code quality through automated analysis and metrics. FAQ from File Context Server? Can the File Context Server handle large codebases? Yes! It is designed to efficiently manage and analyze large code files with advanced caching strategies. Is there a limit on the file size that can be processed? Yes, the maximum file size is configurable, and you can set it according to your needs. How can I contribute to the project? Contributions are welcome! Please refer to the Contributing Guide in the repository for details.

As an MCP (Model Context Protocol) server, File Context Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use File Context Server

To use the File Context Server, install it via npm and start the server using the command npx file-context-server. You can then utilize various tools to list files, read file contents, search for patterns, and analyze code quality. key features of File Context Server? File Operations: Read file contents, list files with metadata, real-time file watching, and support for multiple encodings. Code Analysis: Calculate cyclomatic complexity, extract dependencies, and analyze comments with quality metrics. Smart Caching: Implement LRU caching, automatic cache invalidation, and performance metrics. Advanced Search: Support for regex pattern matching, context-aware results, and multi-pattern searches. use cases of File Context Server? Assisting LLMs in understanding and analyzing codebases. Providing real-time context for code review and debugging. Enhancing code quality through automated analysis and metrics. FAQ from File Context Server? Can the File Context Server handle large codebases? Yes! It is designed to efficiently manage and analyze large code files with advanced caching strategies. Is there a limit on the file size that can be processed? Yes, the maximum file size is configurable, and you can set it according to your needs. How can I contribute to the project? Contributions are welcome! Please refer to the Contributing Guide in the repository for details.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like File Context Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like File Context Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.