Skip to content
Agentmart
Submit a tool

IterableData

Streaming read, convert, and inspect 100+ formats.

Connector by datenoio · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 37
Write a review

Chalk Labs

Need help deploying IterableData?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

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/datenoio-iterabledata

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.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Streaming read, convert, and inspect 100+ formats. Install iterabledata[mcp] and run iterable-mcp.

Use cases: data-pipelines, data-analysis

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
8 read · 0 write · 0 delete · 2 not yet classified
Secrets
None asked for
Install scripts
Not scanned yet
Runs as
Python package

Tools by what they do 10

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

Read 8 · Look things up without changing anything.

  • analyze_dataset
  • convert_file
  • describe_capabilities
  • detect_format
  • plan_conversion
  • read_sample
  • suggest_transform
  • translate_filter

Not yet classified 2 · We could not tell from the name and description.

  • generate_documentation
  • infer_schema

Files it touches

  • Any path the agent passes to its tools

Tools (10)

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

  • analyze_dataset

    Analyze dataset structure; optional AI documentation.

  • convert_file

    Convert between formats. Writes require confirm=True.

  • describe_capabilities

    Describe format metadata and capabilities.

  • detect_format

    Detect data format and compression for a file.

  • generate_documentation

    Generate AI-powered dataset documentation.

  • infer_schema

    Infer schema for a data file.

  • plan_conversion

    Produce a declarative conversion plan without writing files.

  • read_sample

    Read a bounded sample of rows from a data file.

  • suggest_transform

    Suggest a declarative transform spec (requires iterabledata[ai]).

  • translate_filter

    Translate a filter expression into a validated AST (DSL parsing; no LLM by default).

Signals

Stars
37
Forks
5
Open issues
1
Weekly downloads
1,147
Last commit
Aug 20, 2026 (2 months ago)
Last release
Aug 18, 2026 (2 months ago)
Last package publish
Aug 18, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.datenoio/iterabledata
Version
1.0.23
Auth
No auth
Packages
pypi iterabledata
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 25, 2026

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get IterableData running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying IterableData?

CallGet help
Cite this page

IterableData MCP server. Agent Mart. https://agentmart.dev/connectors/datenoio-iterabledata (last updated 2026-10-25)