A flexible Python library and CLI tool for interacting with Model Context Protocol (MCP) servers using any LLM model.
A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
A powerful command-line interface for interacting with Model Context Provider servers.
Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools.
An open-source vulnerability scanner for AI systems, focusing on safeguarding LLMs against various attacks.
PFI is a system designed to prevent privilege escalation in LLM agents by enforcing trust and tracking data flow.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more.
A curated list of awesome LLM agents frameworks.
A comprehensive library for implementing LLMs with a unified training pipeline and model evaluation.
A guidebook sharing insights and knowledge about evaluating Large Language Models (LLMs).
Automatically evaluate your LLMs in Google Colab with LLM AutoEval.
A collection of benchmarks and datasets for evaluating large language models (LLMs).
