Retry with Backoff Executor

Retry with Backoff Executor MCP Connector for Claude

A+

Deterministic retry logic with exponential backoff and jitter for LLM API calls.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a deterministic engine for managing transient failures in LLM API calls and tool executions. It implements configurable exponential backoff with optional jitter to prevent thundering herd problems. Use calculate_next_attempt to determine wait times, get_retry_status to monitor progress, and validate_retry_configuration to ensure parameters are mathematically sound. It is ideal for handling rate limits and 5xx server errors in AI agent workflows.

retrybackoffjittererror-handlingllm

3 tools expose this connector's capabilities to your AI agent.

calculate_next_attempt

Determines if an operation should be retried and how long to wait

get_retry_status

Provides a summary of the current retry progress and history

validate_retry_configuration

Ensures the backoff parameters are mathematically sound and logical

See how to talk to your AI agent using Retry with Backoff Executor.

Calculate the next retry attempt for a failed request.

The next delay is 2000ms, and the attempt count is now 1.

Check if my retry configuration is valid.

The configuration is valid.

What is the current retry status?

Current attempt: 2, Total wait time: 1500ms, Last error: 429.

The delay is calculated using the formula: base_delay * (backoff_factor ^ attempt_count), capped by the maximum delay. If jitter is enabled, a ±10% random variation is applied.

Related Connectors