ContexteTech

Reliability

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How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "contextetech": {
      "type": "http",
      "url": "https://contextetech.com/mcp"
    }
  }
}

6 tools

• 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…

• 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…

• 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…

• 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.

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