Dispatch Agent is an intelligent MCP server that provides specialized filesystem operations through a dedicated React agent (LangGraph). It is designed to offload filesystem tasks from the main LLM, reducing context window usage and increasing accuracy for AI applications. The server exposes the MCP-compatible toolset to dispatch filesystem tasks to a focused sub-agent, enabling concurrent invocations and context-optimized responses. It supports multiple LLM providers (OpenAI, Anthropic, and OpenRouter) via environment-based configuration (API keys, model names, endpoints, and temperature). Core filesystem operations include reading files (text and media), listing directories, searching file contents, retrieving file metadata, and recursive directory traversal. The architecture integrates with Claude Desktop and other MCP clients through the MCP protocol, with example code demonstrating how to connect via a Stdio transport. The README highlights performance improvements such as reduced main context usage, faster inferences, and cost reductions by caching patterns and keeping filesystem queries isolated in the specialized agent. Development instructions cover building, environment setup, and provider-specific configuration.