Orcareplay MCP server
Read, replay and fork recorded coding-agent runs.
273 stars889 downloads/wk
Reviews
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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 postsRead from the package source without running it. The installed server may list more.
orca_checkpointsThe points in a run a fork can start from — where the conversation prefix is complete and
orca_compareFork one recorded run onto several models from the same checkpoint — same files, same
orca_graphWhat caused what in a run, as a list of edges. Each edge says which event produced which,
orca_list_runsList every agent run recorded in this project, newest first, with the run it was forked
orca_replayRe-run a recording exactly, with the network blocked and no tokens spent, and report what
orca_show_runwrite actionThe 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
- 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
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
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 --uiThe 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 orcareplayThe 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 quickstartIt 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-5Interactive 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 agentA powerful toolkit for coding, providing semantic retrieval and editing capabilities.not reviewedWidely usedC
- Figma ContextGive your coding agent access to your Figma data. Implement designs in any framework in one-shot.not reviewedWidely usedB
- IWE (iwe.md)Markdown knowledge base as agent memory. Runs against the notes directory it is started in.not reviewedEstablishedA
- SuperCompressCompress coding-agent context ~64%. Hosted Neural Keep MCP for Cursor/Claude/Codex.not reviewedEstablishedB
- MockserverMock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.not reviewedEstablishedA