Record and replay AI agent execution for debugging
Quick Install
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Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
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Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Documentation Overview
agent-replay-mcp
MCP server for agent session recording and replay — debug non-deterministic agent behavior with session comparison and divergence detection.
Record every action an agent takes, replay sessions step by step, diff two runs to find behavioral regressions, and pinpoint exactly where an agent diverged from expected output.
Install
Claude Desktop
Add to claude_desktop_config.json:
From source
Tools
record_session
Start recording all actions for an agent session.
| Param | Type | Default | Description |
|---|---|---|---|
agent_id | string | required | Unique agent identifier |
metadata | object | {} | Optional metadata (task, model, environment) |
Returns a session_id for use with other tools.
stop_recording
Stop recording and return a session summary.
| Param | Type | Description |
|---|---|---|
session_id | string | Session ID from record_session |
Returns: action count, total duration, action type breakdown.
log_action
Log a single action during a recording session.
| Param | Type | Default | Description |
|---|---|---|---|
session_id | string | required | Active session ID |
action_type | string | required | Type (tool_call, llm_response, decision, error) |
input | any | required | Input to the action |
output | any | required | Output from the action |
reasoning | string | "" | Agent reasoning for this step |
duration_ms | number | 0 | Action duration in milliseconds |
replay_session
Replay a recorded session step by step with full action detail.
| Param | Type | Description |
|---|---|---|
session_id | string | Session ID to replay |
Returns: complete action sequence with timing, reasoning, inputs, and outputs.
compare_sessions
Behavioral diff between two sessions. Aligns actions by step index and highlights differences.
| Param | Type | Description |
|---|---|---|
session_id_1 | string | First session |
session_id_2 | string | Second session |
Returns: similarity ratio, identical/divergent step counts, first divergence step, and per-step diffs.
find_divergence_point
Find where an agent first deviated from expected output.
| Param | Type | Description |
|---|---|---|
session_id | string | Session to analyze |
expected_output | any | Expected final output, or array of per-step expected outputs |
If expected_output is an array, compares step by step. If a single value, finds the last matching output and flags the next step as the divergence point.
export_session
Export a session for sharing and offline analysis.
| Param | Type | Default | Description |
|---|---|---|---|
session_id | string | required | Session to export |
format | string | "json" | "json" or "markdown" |
Markdown format produces a readable transcript with step headers, reasoning, and code blocks.
Resources
| URI | Description |
|---|---|
agent-replay://sessions | All recorded sessions with status and action counts |
Usage Pattern
Tests
License
MIT
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Frequently Asked Questions about Agent Replay
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Markdown (GitHub README)
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CategoryDeveloper Tools
33Quality signal: Emerging · 33/100How this signal is calculated ▾
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Verified ownership10/20
Documentation & tools14/30
Adoption & activity1/15
Community engagement0/10
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