Agent Replay Debugger Mcp
Record each agent step and replay runs deterministically when an autonomous workflow misbehaves in production or staging.
Overview
Agent Replay Debugger MCP is a MCP server for the Operate phase that records agent steps and replays runs deterministically for debugging.
What is this MCP server?
- Records every agent step for later inspection
- Deterministic replay of recorded agent trajectories
- Step-debugger mental model for autonomous agents
- PyPI stdio package agent-replay-debugger-mcp v1.0.1
- MCP 2025-12-11 server manifest (stdio transport)
- Server version 1.0.1
- 1 PyPI stdio package
- stdio transport only in published manifest (no remote listed)
What problem does it solve?
When an agent workflow fails, plain chat transcripts rarely let you reproduce the exact sequence of steps and tool inputs.
Who is it for?
Builders debugging non-deterministic multi-step agents who need recording and replay without building a custom observability pipeline.
Skip if: Simple one-shot completions with no tools, or teams already satisfied with full OpenTelemetry traces across every hop.
What do I get? / Deliverables
After you connect this server, recorded runs can be replayed step-by-step so you can fix prompts, tools, or data with a reproducible trail.
- Recorded agent step histories accessible via MCP
- Deterministic replay sessions for investigation
- Clearer root-cause data for prompt and tool fixes
Recommended MCP Servers
Journey fit
Replay debugging sits on Operate → Errors because the primary value is diagnosing failed or flaky agent trajectories after they occur. Errors subphase matches step-level debugger semantics—reconstruct what the agent did before fixing prompts, tools, or policies.
How it compares
Agent trajectory replay MCP, not a static code linter or prompt-injection firewall.
Common Questions / FAQ
Who is agent-replay-debugger-mcp for?
Indie developers and operators running tool-using agents who need to record and deterministically replay sessions when behavior goes wrong.
When should I use agent-replay-debugger-mcp?
Use it during agent QA and whenever you must investigate a specific failed or surprising run in staging or production.
How do I add agent-replay-debugger-mcp to my agent?
Install the PyPI package agent-replay-debugger-mcp and register it as a stdio MCP server in your Claude or Cursor MCP config per the server manifest.