do-memory-mcp 0.1.31

Model Context Protocol (MCP) server for AI agents
Documentation
//! # Batch request processing for MCP server
//!
//! This module provides batch operation support, allowing multiple tool calls
//! to be executed in a single request with dependency management and parallel execution.
//!
//! ## Features
//!
//! - **Parallel Execution**: Independent operations run concurrently
//! - **Dependency Management**: Specify operation dependencies with DAG validation
//! - **Partial Results**: Return successful results even if some operations fail
//! - **Performance**: Reduce network overhead by 60-80% for multi-tool workflows
//!
//! ## Example
//!
//! ```json
//! {
//!   "jsonrpc": "2.0",
//!   "id": 1,
//!   "method": "batch/execute",
//!   "params": {
//!     "operations": [
//!       {
//!         "id": "query1",
//!         "tool": "query_memory",
//!         "arguments": {
//!           "query": "authentication patterns",
//!           "domain": "web-api"
//!         }
//!       },
//!       {
//!         "id": "analyze1",
//!         "tool": "analyze_patterns",
//!         "arguments": {
//!           "task_type": "authentication"
//!         },
//!         "depends_on": ["query1"]
//!       }
//!     ],
//!     "mode": "parallel"
//!   }
//! }
//! ```

pub use self::dependency_graph::DependencyGraph;
pub use self::executor::BatchExecutor;
pub use self::types::{
    BatchMode, BatchOperation, BatchRequest, BatchResponse, BatchStats, OperationError,
    OperationResult,
};

mod dependency_graph;
mod executor;
mod types;