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This project implements a communication system for distributed intelligent agents. It integrates the MCP (Model Context Protocol) and A2A protocols, providing an open and extensible architecture aimed at sovereign data access in data spaces. The design maintains agent autonomy while adhering to principles of interoperability and identity management.
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The mcp-client-for-ollama is a simple yet powerful Python client designed for interacting with Model Context Protocol (MCP) servers using Ollama. This client enables local large language models (LLMs) to utilize tools effectively. It primarily facilitates communication with APIs, streamlining workflows and enhancing the capabilities of LLMs.