BatchIt
Createdryanjoachim
Aggregates multiple Model Context Protocol (MCP) tool calls into a single request, reducing overhead and token usage for AI agents.
About
BatchIt is an aggregator server designed for the Model Context Protocol (MCP) ecosystem. It simplifies complex AI agent workflows by consolidating multiple MCP tool calls (such as file system operations) into a single `batch_execute` request. This approach minimizes token usage, network overhead, and repeated context, leading to more efficient and streamlined interactions between AI agents and MCP servers.
Key Features
- Enables parallel execution of sub-operations, controlled by maxConcurrent parameter.
- Reduces token usage and network overhead in AI agent workflows.
- Offers a single 'batch_execute' tool to execute multiple sub-operations.
- Caches connections to downstream MCP servers for repeated calls.
- Provides timeout and stop-on-error functionality for individual sub-operations.
Use Cases
- Simplifying complex workflows requiring multiple tool calls.
- Automating multi-step tasks involving multiple file operations.
- Optimizing AI agent interactions with file systems or other MCP-based services.