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datoon MCP server

by andrii-su·io.github.andrii-su/datoon·v1.9.1·2 stars

Smart structured-data to TOON gateway: converts to TOON only when it saves LLM tokens.

A92/100grade A
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Safety scan
A92/100

full report

Adoption
Growing

2 stars

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

datoon tools (3)

write = sends, deletes, buys or posts

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

  • analyze_json

    Analyze a JSON payload and report whether it is a TOON candidate.

  • convert_json

    Convert a JSON payload to TOON when structure and savings meet policy.

  • convert_text

    Convert structured text (csv, yaml, xml, jsonl) to TOON with policy gating.

Public scan report

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

no findings
  • Code scan32 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 12 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How datoon compares

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

Safety score
92/100
higher than 90% of 4,460 AI and agents servers
Tools
3
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
2
more than 65% of 2,711 AI and agents servers

What its tools let an agent do: 3 read

Install datoon in Claude Code, Cursor or VS Code

claude mcp add datoon -- uvx datoon
Add to Cursor

What the publisher says

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

datoon

smart structured-data→TOON gateway — converts only when it actually saves tokens

Before/After • Install • What You Get • How It Works • Benchmarks • Full install guide

______________________________________________________________________

Raw structured data is often verbose in LLM prompts. TOON can save tokens — but blind conversion can also make payloads worse. datoon adds a decision layer: convert when structure and savings justify it, skip when they don't, and always explain why.

Supports JSON, CSV, JSONL, YAML, XML, Parquet, Avro, ORC, Excel, and Apple Numbers — auto-detected from file extension.

Before / After

JSON in the prompt (43 tokens)

{"users":[
  {"id":1,"name":"Ada","role":"admin"},
  {"id":2,"name":"Lin","role":"analyst"},
  {"id":3,"name":"Grace","role":"viewer"}
]}

datoon converts → TOON (24 tokens)

users[3]{id,name,role}:
  1,Ada,admin
  2,Lin,analyst
  3,Grace,viewer
{"decision":"convert","reason":"Estimated savings 44.19% (threshold 15.00%)."}

CSV from a data pipeline (111 tokens as JSON)

id,name,role
1,Ada,admin
2,Lin,analyst
3,Grace,viewer

datoon auto-converts → TOON (24 tokens)

datoon data.csv --report-stdout

Same result. Zero JSON serialization in your code.

Non-uniform payload (26 tokens)

{"config":{"debug":true},"tags":["a","b"]}

datoon skips → keeps JSON

{"decision":"skip","reason":"No uniform object arrays found with at least 3 rows."}

No Node.js call. No silent corruption.

Same data. Right format. Always explained.

┌──────────────────────────────────────────────────┐
│  PAYLOAD SAVINGS (auto avg)    ████░░░░░░   28%  │
│  PAYLOAD SAVINGS (agent skill) ████████░░   62%  │
│  DECISION ACCURACY             ██████████  100%  │
│  HARMFUL CONVERSIONS BLOCKED   ██████████  100%  │
└──────────────────────────────────────────────────┘

[!IMPORTANT]

datoon saves payload tokens — the structured data portion of your prompt. Token savings depend on payload shape: uniform tabular data converts well; deeply nested or non-uniform structures are skipped. Every decision includes a reason so pipelines can log, debug, and trust the outcome.

Install

# core (JSON, CSV, JSONL, XML — no extra deps)
uv add datoon
pip install datoon

# with YAML support
pip install "datoon[yaml]"

# with Excel support
pip install "datoon[excel]"

Shortened. The full README is on GitHub.

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

datoon: common questions

Is datoon MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the datoon safety report
How do I install datoon?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does datoon need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is datoon maintained?
The last commit was 50 days ago (2026-09-14). The latest release is v1.9.1.
What can I use instead of datoon?
Servers from other publishers that do the same job: Commonly MCP server, Agent-Native Plan MCP server and mcptoon MCP server.
How does datoon compare with other AI and agents MCP servers?
safety score 92/100 (higher than 90% of 4,460 AI and agents servers); tools 3 (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.

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