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Orcareplay

Read, replay and fork recorded coding-agent runs.

Connector by Continuum-AI-Corp · GitHub account verified by the MCP Registry

IndexedApache-2.0Local (stdio)★ 281
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/continuum-ai-corp-orcareplay

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Read, replay and fork recorded coding-agent runs.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
3 read · 1 write · 0 delete · 4 not yet classified
Secrets
None asked for
Install scripts
Not scanned yet
Runs as
Node.js package

Tools by what they do 8

Read from the source code; the running server may list different tools.

Read 3 · Look things up without changing anything.

  • orca_list_runs
  • orca_show_run
  • read_file

Write 1 · Create, change, send or run things.

  • write_file

Not yet classified 4 · We could not tell from the name and description.

  • orca_checkpoints
  • orca_compare
  • orca_graph
  • orca_replay

Files it touches

  • Any path the agent passes to its tools

Tools (8)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • orca_checkpoints

    The points in a run a fork can start from — where the conversation prefix is complete and the workspace was snapshotted. Use before orca_compare to pick a fork point.

  • orca_compare

    Fork one recorded run onto several models from the same checkpoint — same files, same conversation prefix — and grade each with a command you choose. SPENDS REAL TOKENS and reaches the network: every model named is actually called. Ask before using it.

  • orca_graph

    What caused what in a run, as a list of edges. Each edge says which event produced which, and whether it is `recorded` — the recorder watched it happen and wrote it into the trace — or `inferred`, meaning this derived it just now from the rule it names and the trace does not vouch for it. Pass `to` to get only the chain that produced one event, which is the shape of an answer to "why did this fail" rather than "what happened".

  • orca_list_runs

    List every agent run recorded in this project, newest first, with the run it was forked from where there is one. Start here when you do not already know which run to look at.

  • orca_replay

    Re-run a recording exactly, with the network blocked and no tokens spent, and report what could not be reproduced: divergences, and requests the recording could not serve. Free and repeatable. It shows the recorded decisions still reproduce; it cannot show a fresh run would fail the same way, because the model is not asked again — its recorded responses are served back.

  • orca_show_run

    The full timeline of one run: every model turn with its token counts and stop reason, every tool call with its arguments and result, every shell command with its exit code, and every file the run changed. This is what tells you why an agent did something, rather than what it cost.

  • read_file

    Read a file from the project

  • write_file

    Replace a file in the project with new contents

Signals

Stars
281
Forks
66
Open issues
0
Last commit
Oct 1, 2026 (28 days ago)
Last release
Sep 29, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name
io.github.Continuum-AI-Corp/orcareplay
Version
0.5.0
Auth
No auth
Packages
npm orcareplay
License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 25, 2026

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Cite this page

Orcareplay MCP server. Agent Mart. https://agentmart.dev/connectors/continuum-ai-corp-orcareplay (last updated 2026-10-25)