<ul data-eligibleForWebStory="false"><li>This post focuses on orchestrating Model Context Protocol (MCP) servers using llamaindex.TS in a TypeScript application.</li><li>llamaindex.TS offers a modular framework while MCP enables tool interoperability and streaming for orchestrating AI services.</li><li>The post discusses setting up the MCP client with Streamable HTTP for efficient communication and best practices for secure access.</li><li>Orchestrating LLMs and MCP tools is simplified with llamaindex/tools, allowing dynamic tool retrieval and multi-agent workflows.</li></ul>

Using LlamaIndex.TS to Orchestrate MCP Servers

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