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mdfifty50-boop

agent-replay-mcp

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

Related MCP server: opencode-lens

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

A
license - permissive license
-
quality - not tested
-
maintenance - not tested

Resources

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