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Agent Replay MCP server

by mdfifty50-boop·io.github.mdfifty50-boop/agent-replay·v0.1.1
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Record and replay AI agent execution for debugging

B78/100grade B
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Safety scan
B78/100

full report

Adoption
New

0 stars44 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Agent Replay tools (8)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • compare_sessions

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

  • export_session

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

  • find_divergence_point

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

  • health_check

    Returns server health, uptime, version, and call stats

  • log_action

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

  • record_session

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

  • replay_session

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

  • stop_recording

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

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan9 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 156 days ago8/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Agent Replay compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
78/100
higher than 57% of 4,460 AI and agents servers
Tools
8
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
44
more than 36% of 1,538 AI and agents servers with a package

What its tools let an agent do: 7 read · 1 run or deploy

Install Agent Replay in Claude Code, Cursor or VS Code

Runs npx -y agent-replay-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add agent-replay -- npx -y agent-replay-mcp
Add to Cursor

What the publisher says

From the Agent Replay repository's README, as published. We do not edit it. Read it on 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-mcp

Claude Desktop

Add to claudedesktopconfig.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.

Returns a session_id for use with other tools.

stop_recording

Stop recording and return a session summary.

Returns: action count, total duration, action type breakdown.

log_action

Log a single action during a recording session.

replay_session

Replay a recorded session step by step with full action detail.

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.

Returns: similarity ratio, identical/divergent step counts, first divergence step, and per-step diffs.

finddivergencepoint

Find where an agent first deviated from expected output.

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.

Markdown format produces a readable transcript with step headers, reasoning, and code blocks.

Resources

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

Nothing above is checked by us. What we check is on the safety report.

Agent Replay: common questions

Is Agent Replay MCP server safe?
Mostly: it is graded B (78/100). Read the Agent Replay safety report
How do I install Agent Replay?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Agent Replay need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Agent Replay maintained?
The last commit was 194 days ago (2026-04-24). The latest release is v0.1.1.
What can I use instead of Agent Replay?
Servers from other publishers that do the same job: Mockserver MCP server, Decionis MCP server and Orcareplay MCP server.
How does Agent Replay compare with other AI and agents MCP servers?
safety score 78/100 (higher than 57% of 4,460 AI and agents servers); tools 8 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Agent Replay

Same job from other publishers: the closest match first, then the best rated.

  • Mockserver
    Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.
    A
  • Decionis
    Authorize consequential AI agent actions before execution
    A
  • Orcareplay
    Read, replay and fork recorded coding-agent runs.
    A
  • CHAP Coordinator
    Auditable records of human decisions over AI agent work. Approvals, edits, overrides, escalations.
    A
  • three.ws Provenance
    Append-only, signed, on-chain-verifiable agent action log — record and audit what agents did.
    B

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