5 tagged large language models, measured the same way as everything else here.
MCP server Claude CodeCodexCursor +2
LLM Sandbox is a lightweight and portable sandbox environment designed to run large language model (LLM) generated code in a safe and isolated mode. Runs locally from the llm-sandbox Python package. Needs 12 environment variables to run.
MCP server Claude CodeCodexCursor +2
An implementation of a Model Context Protocol (MCP) server for AWS S3, enabling AI models, particularly Large Language Models (LLMs), to securely interact with S3 buckets. Runs locally from the mcp-s3-server Python package.
MCP server Claude CodeCodexCursor +2
Excel MCP Server for manipulating Excel files. Runs locally from the excel-mcp-server Python package.
MCP server Claude CodeCodexCursor
MCP server exposing fast, structured search over lore.kernel.org to LLM developer tools. Runs locally from the kernel-lore-mcp Python package.
MCP server Claude CodeCodexCursor
MCP server "alembica-mcp" as configured in open-and-sustainable/alembica. Runs in Docker (ghcr.io/open-and-sustainable/alembica-mcp:0.3.5).