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Orcareplay MCP server

by Continuum-AI-Corp·io.github.Continuum-AI-Corp/orcareplay·v0.5.0·273 stars

Read, replay and fork recorded coding-agent runs.

A91/100grade A
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Safety scan
A91/100

full report

Adoption
Established

273 stars889 downloads/wk

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

Orcareplay tools (6, 1 write)

write = sends, deletes, buys or posts

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

  • orca_checkpoints

    The points in a run a fork can start from — where the conversation prefix is complete and

  • orca_compare

    Fork one recorded run onto several models from the same checkpoint — same files, same

  • orca_graph

    What caused what in a run, as a list of edges. Each edge says which event produced which,

  • orca_list_runs

    List every agent run recorded in this project, newest first, with the run it was forked

  • orca_replay

    Re-run a recording exactly, with the network blocked and no tokens spent, and report what

  • orca_show_runwrite action

    The full timeline of one run: every model turn with its token counts and stop reason,

Public scan report

scanner v0.1.10 · 2026-10-03 · same rubric, same numbers if you re-run it

no findings
  • Code scan72 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 2 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 91/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Orcareplay compares

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

Safety score
91/100
higher than 88% of 4,460 AI and agents servers
Tools
6
the typical AI and agents server has 6
Tools that change things
17%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
273
more than 95% of 2,711 AI and agents servers
Downloads a week
889
more than 92% of 1,538 AI and agents servers with a package

What its tools let an agent do: 5 read · 1 change

Release history: 3 versions in the registry since 2026-09-14, latest 2026-09-29, typically one every 8 days.

Install Orcareplay in Claude Code, Cursor or VS Code

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

claude mcp add orcareplay -- npx -y orcareplay
Add to Cursor

What the publisher says

From the Orcareplay repository's README, as published. We do not edit it. Read it on GitHub

OrcaReplay

English · 简体中文 · 日本語 · 한국어 · Deutsch · Français · Español · العربية

Your agent broke something at 2am. Replay it at 9am — exactly, offline, as many times as you like.

Record any coding agent. Reproduce the run byte-for-byte with no model called. Fork it from any step onto a different model and see who gets it right.

Built by the team behind OrcaRouter — one API key and one endpoint for Claude, GPT, Gemini, Grok, DeepSeek, Qwen and the rest. It is what orca setup points at by default, and what makes orca compare a single command instead of four provider accounts.

Find us: OrcaRouter All model APIs

Github Repos: OrcaCode Review · OrcaRouter Lite

Connect: X · Discord · Hugging Face · Ollama

Real output from one session — a Claude Code run recorded, replayed against the recording, then forked at checkpoint 4 onto two models and graded by npx tsc --noEmit. Nothing here is mocked up.

Try it in three commands

orca record claude              # your agent, unmodified, doing whatever it does
orca replay last                # the same run again — no network, no tokens, no charge
orca replay last --from 4 --model claude-haiku-4-5 --ui

The third line is the one people stay for: same files, same conversation prefix, different model from step 4 onward. The model is the only variable, which is what makes the answer mean anything.

npm i -g orcareplay

The three commands at the top need an agent installed, a key, a network and real tokens. If you have none of those yet, one command brings its own:

orca quickstart

It writes a small project with a genuine bug in it and a recording of an agent fixing that bug, then replays the recording against the project with no model called: two failing tests before, four passing after, three turns served from the trace and nothing spent. --full prints the whole timeline and the replay as it happened.

Read your agent's own system prompt

A proxy that sees the whole loop also sees the prompt the harness assembled before it sent anything. One command captures it, scrubs the machine out of it, and files it by model:

node capture/capture.mjs claude --model claude-opus-5

Interactive prompts and -p prompts are not the same prompt, and neither is the same across models. See capture/README.md for the measured differences, the pitfalls, and the sanitising rules.

Why this exists

Shortened. The full README is on GitHub.

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

Orcareplay: common questions

Is Orcareplay MCP server safe?
Yes, by our scan: it is graded A (91/100). Read the Orcareplay safety report
How do I install Orcareplay?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Orcareplay need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Orcareplay maintained?
The last commit was 34 days ago (2026-10-01). The latest release is v0.5.0.
What can I use instead of Orcareplay?
Servers from other publishers that do the same job: Serena MCP: the IDE for your agent MCP server, Figma Context MCP server and IWE (iwe.md) MCP server.
How does Orcareplay compare with other AI and agents MCP servers?
safety score 91/100 (higher than 88% of 4,460 AI and agents servers); tools 6 (the typical AI and agents server has 6); tools that change things 17% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Orcareplay

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

  • Serena MCP: the IDE for your agent
    A powerful toolkit for coding, providing semantic retrieval and editing capabilities.
    C
  • Figma Context
    Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
    B
  • IWE (iwe.md)
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A
  • SuperCompress
    Compress coding-agent context ~64%. Hosted Neural Keep MCP for Cursor/Claude/Codex.
    B
  • Mockserver
    Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.
    A

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