Media · Local MCP server
IterableData
Streaming read, convert, and inspect 100+ formats. Install iterabledata[mcp] and run iterable-mcp.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.datenoio/iterabledata- Version
- 1.0.23
- Status
- Active
- Category
- media
- Transport
- stdio (local process)
- Package
- PyPI
- Published
- 2026-08-18
- Updated
- 2026-08-18
- Publisher
- datenoio (GitHub)
- Website
- datenoio.github.io/iterabledata/integrations/MCP
- Repository
- github.com/datenoio/iterabledata
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPIruntime: uvx | iterabledata | 1.0.23 | stdio |
How to connect IterableData
IterableData runs locally from a Python package published to PyPI: iterabledata version 1.0.23. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx iterabledata.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"iterabledata": {
"command": "uvx",
"args": [
"iterabledata"
]
}
}
}Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
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