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Toki Toki MCP server

by xfloukiex-lab·io.github.xfloukiex-lab/toki-toki·v0.1.0

A local causality ledger: records decisions and the reasons, for an agent to recall.

B78/100grade B
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B78/100

full report

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0 stars22 downloads/wk

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

Toki Toki tools (2)

write = sends, deletes, buys or posts

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

  • log_causality_point

    Anchor a moment in time. Record a project decision, the alternatives rejected, and why it was chosen — for future historical reference.

  • time_leap_retrieval

    Leap backward into the timeline. Retrieve past decisions and the reasons behind them to understand how the current state came to be.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • Code scan4 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 100 days ago8/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Toki Toki compares

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

Safety score
78/100
higher than 57% of 4,460 AI and agents servers
Tools
2
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
22
more than 8% of 1,538 AI and agents servers with a package

What its tools let an agent do: 2 read

Install Toki Toki in Claude Code, Cursor or VS Code

claude mcp add toki-toki -- uvx toki-toki-mcp
Add to Cursor

What the publisher says

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

<!-- mcp-name: io.github.xfloukiex-lab/toki-toki -->

⏳ Toki Toki no Mi

An MCP server that remembers why each decision was made — a local, searchable decision log.

A Model Context Protocol (MCP) server — one focused tool you plug into an MCP-compatible client (Claude Desktop, Claude Code, Cursor, and others).

What it does

A conversation's context window forgets. A few sessions later, the reasoning behind an architectural choice is gone, and you re-litigate decisions you already settled — or quietly reverse them without noticing.

Toki Toki no Mi is a causality ledger. It records each decision, the alternatives you rejected, and why you chose as you did, then lets your assistant retrieve that history later — and flag a new proposal that contradicts a past decision.

Usage

Two tools:

  • logcausalitypoint — record a decision, the rejected alternatives, and the justification
  • timeleapretrieval — recall past decisions (all of them, or filtered by keyword)

Decisions are stored locally in SQLite under ~/.grandline/ and also mirrored to a Markdown file, so any external search tool can be pointed at the folder to read them.

Tool reference: logcausalitypoint(decisionmade, alternativesrejected, justification) · timeleapretrieval(query: str = "")

How it works

Self-contained, no API key, fully local. The ledger is a single SQLite file on your machine with no external dependencies. Nothing is sent anywhere.

Install

Requires Python 3.10 or newer.

pip install toki-toki-mcp

This installs the toki-toki command.

Then register it with your MCP client — either run claude mcp add toki-toki -- toki-toki, or add this to the client's config (e.g. claudedesktopconfig.json):

{
  "mcpServers": {
    "toki-toki": { "command": "toki-toki" }
  }
}

Restart the client and the tool is available.

The Grand Line stack

Toki Toki no Mi is part of a four-tool set. Each tool stands alone, but installing all of them unlocks a final surprise via Laugh Tale.

Develop

git clone https://github.com/xfloukiex-lab/toki-toki
cd toki-toki
python -m venv .venv && . .venv/Scripts/activate   # macOS/Linux: source .venv/bin/activate
pip install -e ".[dev]"
python tests/test_toki_toki.py

Attribution & license

Released under the Apache-2.0 license. The icon is original artwork (see icon.svg), generated locally; the repository ships no third-party assets.

This is a fan-inspired project. It is not affiliated with, sponsored by, or endorsed by the creators or rights holders of One Piece (Eiichiro Oda / Shueisha / Toei Animation). "One Piece" and related names are used only as thematic flavour and remain the property of their respective owners.

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

Toki Toki: common questions

Is Toki Toki MCP server safe?
Mostly: it is graded B (78/100). Read the Toki Toki safety report
How do I install Toki Toki?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Toki Toki need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Toki Toki maintained?
The last commit was 139 days ago (2026-06-18). The latest release is v0.1.0.
What can I use instead of Toki Toki?
Servers from other publishers that do the same job: CHAP Coordinator MCP server, Mockserver MCP server and Agent Recall MCP server.
How does Toki Toki compare with other AI and agents MCP servers?
safety score 78/100 (higher than 57% of 4,460 AI and agents servers); tools 2 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Toki Toki

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

  • CHAP Coordinator
    Auditable records of human decisions over AI agent work. Approvals, edits, overrides, escalations.
    A
  • Mockserver
    Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.
    A
  • Agent Recall
    Correction-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.
    A
  • three.ws Provenance
    Append-only, signed, on-chain-verifiable agent action log — record and audit what agents did.
    B
  • Total Agent Memory
    Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
    A

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