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Compoid

Stores versioned research files, images and datasets in shared communities, with metadata that an AI agent can search and read through an MCP server.
At a glanceswept Oct 22, 2026

not read yet

Use

For
teams and solo researchers storing and sharing papers, datasets and media with AI agents
Used for
  • find and fetch research papers for a literature review
  • bundle open-access records into a zip archive
  • let an AI agent search and create repository records
Worth knowingcomputed from what we read · each with its source
  • On the web since 2013, older than 92% of its shelfINITE Atlas
  • Has an MCP server (1 in the registry)public registry →
  • Publishes llms.txt, a file written for AI assistantscompoid.com ↗
How a program reaches itfound, not claimed · read Oct 24, 2026
  • MCP servercom.compoid/mcp-serververified in the MCP registry
  • Stateanswers, 14 toolschecked 2026-10-24
  • Address to connectmcpv.compoid.com/mcp
  • MCP docscompoid.com/documentationthe vendor's page ↗

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Databy use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Not it? Say what you need

beta

Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is Compoid?

    Stores versioned research files, images and datasets in shared communities, with metadata that an AI agent can search and read through an MCP server. It is listed in the Atlas under Data.

  • Who is Compoid for?

    teams and solo researchers storing and sharing papers, datasets and media with AI agents

  • Do people use Compoid?

    Little sign of use.

  • What are alternatives to Compoid?

    In Data, by use: Airbyte, Activeloop, The Aslan Group, Mozilla Data Collective, PasteSheet, GeoTag AI.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk