mcp-batchit
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MCP BatchIt is a server that aggregates multiple MCP tool calls into a single request, reducing overhead and token usage for AI agents.
MCP BatchIt is an aggregator server within the Model Context Protocol (MCP) ecosystem, designed to streamline the execution of multiple MCP tool calls by batching them into a single 'batch_execute' request. This approach significantly reduces token usage, network overhead, and repeated context in AI agent or LLM conversations. The server is particularly useful for tasks that require multiple operations, such as file manipulations, by allowing these operations to be executed in parallel, thus optimizing performance and efficiency.
Features
- Single 'Batch Execute' Tool: Allows users to specify a list of sub-operations referencing existing MCP server tools.
- Parallel Execution: Enables multiple sub-operations to run concurrently, controlled by a 'maxConcurrent' parameter.
- Timeout & Stop on Error: Each sub-operation has a timeout, and the process can halt if an error occurs, based on 'stopOnError' settings.
- Connection Caching: Reuses connections to the downstream MCP server for repeated calls, closing after an idle timeout.