MCP-ollama_server
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MCP-Ollama Server bridges the gap between Anthropic's Model Context Protocol (MCP) and local LLMs via Ollama, providing enterprise-grade AI capabilities with complete data privacy.
MCP-Ollama Server is designed to integrate Anthropic's Model Context Protocol (MCP) with local LLMs using Ollama. This server allows on-premise AI models to have capabilities similar to cloud-based solutions like Claude, including file system access, calendar integration, web browsing, email communication, GitHub interactions, and AI image generation. The server ensures that all data processing remains on local infrastructure, eliminating the need to share sensitive information with third parties. It offers a modular approach, allowing users to deploy only the components they need, making it suitable for high-security environments.
Features
- Complete Data Privacy: All computations happen locally through Ollama, ensuring data privacy.
- Tool Use for Local LLMs: Extends Ollama models with capabilities like file, calendar, and more.
- Modular Architecture: Independent Python service modules that can be deployed selectively.
- Easy Integration: Simple APIs to connect with existing applications.
- Performance Optimized: Minimal overhead to maintain responsive AI interactions.
