MCP For Claude Marketplace
Agent Latency Pipeline Calculator

Agent Latency Pipeline Calculator MCP Connector for Claude

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Model end-to-end latency, retry impacts, and SLA compliance for agentic workflows.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides deterministic modeling for complex agentic pipelines. Use analyze_pipeline_latency to calculate total P50 and P99 latencies, identify SLA violations, and detect high-risk stages. You can also use calculate_retry_overhead to quantify the impact of retries and evaluate_stage_reliability to determine optimal timeout settings based on tail latency profiles.

latencyslaagentic-workflowsreliabilityperformance

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

analyze_pipeline_latency

Calculates total expected latency and identifies potential SLA breaches for a sequence of agent stages

calculate_retry_overhead

Quantifies the additional latency added to a specific stage due to potential retry logic

evaluate_stage_reliability

Determines the specific failure risk and optimal configuration for a single agent stage

See how to talk to your AI agent using Agent Latency Pipeline Calculator.

Calculate the total latency for a pipeline with two stages: Stage A (P50: 200ms, P99: 500ms, retries: 1, timeout: 1000ms) and Stage B (P50: 300ms, P99: 800ms, retries: 0, timeout: 1500ms), with 50ms network latency and 20ms queue wait.

The total P50 latency is 570ms and the approximated total P99 latency is 943.35ms.

What is the retry overhead for a stage with 200ms P50 latency, a 0.1 retry probability, and 2 retries?

The expected retry latency is 40ms.

Is my pipeline violating its SLA if the target P99 is 1000ms and my calculated P99 is 1200ms?

Yes, the total P99 of 1200ms exceeds the target SLA of 1000ms, resulting in an SLA violation.

The total P99 is approximated using the square root of the sum of the squares of the individual stage P99 values, rather than a simple linear sum.

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