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ContexteTech

io.github.contexte-tech/contexte · v0.5.2

Search and load AI datasets, prompts and few-shot contexts from the ContexteTech catalogue.

Connect Remote server

Terminal
claude mcp add --transport http contexte https://contextetech.com/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "contexte": {
      "url": "https://contextetech.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "contexte": {
      "type": "http",
      "url": "https://contextetech.com/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://contextetech.com/mcp

Tools 6 found in our last check

  • search_resources

    Search the ContexteTech catalogue of AI building blocks: fine-tuning and evaluation datasets (chat, DPO, agent traces), prompts, few-shot contexts, MCP servers, models and more, many grounded in official European sources, in 9 languages. Use it first when the user needs AI train…

  • load_resource

    Read one ContexteTech resource, usually right after search_resources or when the user gives a code or page URL. Accepts the short code (end of the page URL, e.g. 'jr6t0n'), 'author/name', or 'code#v2' for a fixed version. Always returns title, type, licence, language, source, ve…

  • fill_prompt

    Fill a ContexteTech prompt template and return the ready-to-send text, nothing else. Use it when the user wants a prompt applied to their own case; call load_resource first if you need the template or the exact variable names. 'variables' maps each {{name}} of the template to it…

  • estimate_cost

    Estimate in euros what a ContexteTech resource costs to run with common AI models, from the week's list prices. Use it when the user asks about cost, budget or the cheapest model. For a prompt or context: input and output tokens, cost per call for each model and batch discount;…

  • search

    Search the ContexteTech catalogue of AI datasets, prompts and contexts. Returns results with id, title and url.

  • fetch

    Fetch the full content of a ContexteTech resource by the id returned by search.

Details

Endpointhttps://contextetech.com/mcp (Streamable HTTP)
Package[email protected] (PYPI, stdio)
First published15 Oct 2026
Last updated15 Oct 2026
Registry nameio.github.contexte-tech/contexte

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