io.github.mdfifty50-boop/agent-replay
Record and replay AI agent execution for debugging
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
agent-replay-mcpclaude mcp add agent-replay -- npx -y agent-replay-mcp@0.1.1{
"mcpServers": {
"agent-replay": {
"command": "npx",
"args": [
"-y",
"agent-replay-mcp@0.1.1"
]
}
}
}Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
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
npx agent-replay-mcpClaude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"agent-replay": {
"command": "npx",
"args": ["agent-replay-mcp"]
}
}
}From source
git clone https://github.com/mdfifty50-boop/agent-replay-mcp.git
cd agent-replay-mcp
npm install
node src/index.jsTools
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
1. record_session — start recording at agent launch
2. For each agent action:
- log_action — capture input, output, reasoning, timing
3. stop_recording — finalize the session
4. Debug:
- replay_session — review what happened step by step
- compare_sessions — diff today's run vs yesterday's
- find_divergence_point — pinpoint where it went wrong
5. Share:
- export_session — JSON for tooling, markdown for humansTests
npm testLicense
MIT
Questions fréquentes
Qu'est-ce que io.github.mdfifty50-boop/agent-replay ?
Record and replay AI agent execution for debugging
Comment installer io.github.mdfifty50-boop/agent-replay ?
Il s'exécute sur votre machine. Dans Claude Code : claude mcp add agent-replay -- npx -y agent-replay-mcp@0.1.1. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour io.github.mdfifty50-boop/agent-replay ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
io.github.mdfifty50-boop/agent-replay est-il open source ?
Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.
Qui maintient io.github.mdfifty50-boop/agent-replay ?
Il est publié par mdfifty50-boop. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.