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qualityA Model Context Protocol server that allows LLMs to interact with Python environments, execute code, and manage files within a specified working directory.
Last updated -
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Why this server?
Allows LLMs to interact with Python environments, execute code, and manage files within a specified working directory. This can be useful for local file operations on any OS, including Windows.
Why this server?
An MCP server that provides tools for reading, writing, and editing files on the local filesystem, making it suitable for local file operations on Windows.
Why this server?
Enables seamless integration between local Ollama LLM instances and MCP-compatible applications, which is a direct fit for the user's request.
Why this server?
A lightweight MCP server that provides a unified interface to various LLM providers including Ollama, directly addressing the user's need to work with Ollama.
Why this server?
A Python-based text editor server that provides tools for file operations including reading, editing, and managing text files, suitable for local file operations and works cross-platform.
Why this server?
An MCP server that allows searching for files in the filesystem based on path fragments, returning file metadata, facilitating local file operations.
Why this server?
Get information about the current operating environment which helps determine windows OS.
Why this server?
A secure MCP server that provides controlled ShellJS access for LLMs, enabling AI systems to safely execute shell commands and interact with the filesystem, which is useful for local file operations. It does not lock you to a particular OS.
Why this server?
A comprehensive MCP server for file system operations, providing tools for Claude and other AI assistants with access to local files and directories.
Why this server?
A server that allows AI assistants to browse and read files from specified GitHub repositories, providing access to repository contents. It helps read files, but not to do any operations. However, it doesn't work with Ollama