<ul><li>The post explores building a local AI agent that can call external tools using a custom Model Context Protocol (MCP) server with Ollama's on-device LLM hosting.</li><li>It covers how MCP standardizes tool integrations, defining and validating tools with Pydantic, configuring Ollama for function calling, and orchestrating end-to-end interactions.</li><li>Key benefits like enhanced privacy, improved performance, and greater extensibility are highlighted, along with common pitfalls to avoid.</li><li>MCP, an open standard introduced by Anthropic, allows LLMs to discover and invoke external tools through a uniform RPC-style interface, simplifying integration and enhancing security.</li></ul>

Unlocking AI Tool Calls: Building a Local MCP Server with Ollama

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