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MCP server · Developer Tools

io.github.mdfifty50-boop/agent-replay

Record and replay AI agent execution for debugging

Unclaimed last commit 6 months ago devtools
37Low

Scored 6 months ago · breakdown

About io.github.mdfifty50-boop/agent-replay

io.github.mdfifty50-boop/agent-replay is an MCP server published by mdfifty50-boop in the Developer Tools category: record and replay AI agent execution for debugging.

Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

Claude Code
claude mcp add io-github-mdfifty50-boop-agent-replay -- npx -y agent-replay-mcp
npx
npx -y agent-replay-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (7)

compare_sessionsBehavioral diff between two sessions. Aligns by step, highlights differences in types, inputs, outputs, and timing.

Parameters not published.

export_sessionExport session as JSON or markdown transcript for sharing and offline analysis.

Parameters not published.

find_divergence_pointFind where an agent first deviated from expected output. Accepts per-step array or single expected value.

Parameters not published.

log_actionLog a single action during a recording session. Captures input, output, reasoning, and timing.

Parameters not published.

record_sessionStart recording all actions for an agent session. Returns a session_id to use with log_action.

Parameters not published.

replay_sessionReplay a recorded session step by step with full action detail, timing, and reasoning.

Parameters not published.

stop_recordingStop recording and return session summary with action count, duration, and type breakdown.

Parameters not published.

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README

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-mcp

Claude 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.js

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

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 humans

Tests

npm test

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About io.github.mdfifty50-boop/agent-replay

How do I install io.github.mdfifty50-boop/agent-replay?

Run claude mcp add io-github-mdfifty50-boop-agent-replay -- npx -y agent-replay-mcp, then add the server to your MCP client's configuration.

Is io.github.mdfifty50-boop/agent-replay safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.mdfifty50-boop/agent-replay still maintained?

The last commit was 6 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.