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Contexte Tech

Catalogues AI prompts, datasets, MCP servers and model advice, with an MCP endpoint assistants can query directly.

Actively maintained

At a glanceswept Oct 22, 2026

≈ 1visits/mo

Emerging · estimate, read Oct 21, 2026

For
People and AI agents choosing, building or sharing datasets, prompts and MCP servers for AI work
Activity
Actively maintainedsite updated 6 days ago
Used for
  • compare AI models and running costs before choosing one
  • anonymise personal data in French, Swiss and Belgian texts
  • clean CSV files while logging each correction
Worth knowingcomputed from what we read · each with its source
How a program reaches itfound, not claimed · read Oct 22, 2026
  • MCP serverio.github.contexte-tech/contexteendpoint on the vendor's domain
  • Stateanswers, 6 toolschecked 2026-10-22
  • Address to connectcontextetech.com/mcp
  • MCP docscontextetech.com/docs/mcpthe 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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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 Contexte Tech?

    Catalogues AI prompts, datasets, MCP servers and model advice, with an MCP endpoint assistants can query directly. It is listed in the Atlas under Data.

  • Who is Contexte Tech for?

    People and AI agents choosing, building or sharing datasets, prompts and MCP servers for AI work

  • Do people use Contexte Tech?

    Emerging: ≈ 1 visits/mo · estimate, 2026-10.

  • Is Contexte Tech still maintained?

    Actively maintained: site updated 6 days ago.

  • What are alternatives to Contexte Tech?

    In Data, by use: Crustdata, ClicData, Mozilla Data Collective, Factori, Goro, CompletionKit.

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