Agent Replay

Name: Agent Replay
Author: mdfifty50-boop

by mdfifty50-boopversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.mdfifty50-boop/agent-replay

Install

Overview

Description from the maker (original English)

Record and replay AI agent execution for debugging

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 46/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agent-replay": {
      "command": "npx",
      "args": [
        "-y",
        "agent-replay-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agent-replay -- npx -y agent-replay-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-replay": {
      "command": "npx",
      "args": [
        "-y",
        "agent-replay-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-replay": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "agent-replay-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account mdfifty50-boop, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

More stars than 0% of the other 5620 servers in this category
Published to the registry more recently than 10% of the other 5620 servers in this category
Basic checks equal to or better than 100% of the other 5620 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agent Replay safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Cloudflare MCP

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

For each agent action:

log_action — capture input, output, reasoning, timing

stop_recording — finalize the session
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

export_session — JSON for tooling, markdown for humans

Tests

npm test

License

MIT

Agent Replay

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

agent-replay-mcp

Install

Claude Desktop

From source

Tools

record_session

stop_recording

log_action

replay_session

compare_sessions

find_divergence_point

export_session

Resources

Usage Pattern

Tests

License