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qualityA Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
Last updated -
45
8
JavaScript
MIT License
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Why this server?
Allows AI models to read, search, and analyze code files with advanced caching and real-time file watching capabilities, which is useful for studying local files.
Why this server?
Allows browsing and reading files from specified GitHub repositories, which can be considered as remote local files.
Why this server?
Provides secure file system access and sequential thinking capabilities, allowing navigation and file reading for complex problem-solving.
Why this server?
Provides tools for basic file system operations such as navigation, reading, writing, and file analysis.
Why this server?
Provides secure read-only access and file search capabilities within a specified directory, while respecting .gitignore patterns.
Why this server?
Provides tools for interacting with databases, including PostgreSQL, DuckDB, and Google Cloud Storage Parquet files; useful for accessing structured data stored locally.
Why this server?
Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system.
Why this server?
A Model Context Protocol server for Claude Desktop that provides structured memory management across chat sessions, allowing Claude to maintain context and build a knowledge base within project directories.
Why this server?
Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support. This would be great for studying documentation.
Why this server?
A line-oriented text file editor optimized for LLM tools with efficient partial file access to minimize token usage.