ContexteTech

Measured conclusion: Deep-tested. L2 outcome: tools_ok.

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

Add to your agent

Copy this into your MCP client config:

{
  "mcpServers": {
    "ContexteTech": {
      "url": "https://contextetech.com/mcp",
      "transport": "streamable-http"
    }
  }
}

Measured tools (6)

• search_resources read-only

  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 training or evaluation data, a prompt, a context or an AI component, then call load_resource with a returned code. Write the topic in a few words, in English or the content language; common topics are matched across French, English, German and Spanish (e.g. 'marine weather' finds 'météo marine'), and a type word such as 'dataset' or 'prompt' puts that type first. Resources matching every topic come first; weaker matches carry match: partial. Returns up to 15 matches, each with short code, title, type, language, licence, author, rows (datasets), description and page URL; when nothing matches, returns a short message suggesting how to rephrase.

  Parameters:

  • query (required) — string — Search words, e.g. 'customs code' or 'GDPR'
  • type — string — Optional type: dataset, prompt, context, tool, model, agent, eval, rag…
  • language — string — Optional content language: fr, en, es, de, it, nl, pt, sv, pl

  Hints: read-only yes · destructive no · idempotent not declared · open-world yes

• load_resource read-only

  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, version and page URL; plus, for a dataset, the total number of rows, the first rows (default 10, max 50); for a prompt, the template and its {{variables}} (then call fill_prompt); for a context, the system prompt, knowledge and examples. The result ends with a Source line (resource, author, original data source, publisher, licence): citing it with its links is required. Fails with an error if the code does not exist or the resource is private.

  Parameters:

  • code (required) — string — Short code (end of the resource URL)
  • rows — integer — Dataset rows to return (default 10, max 50)

  Hints: read-only yes · destructive no · idempotent not declared · open-world yes

• fill_prompt read-only

  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 its text value; extra keys are ignored. Fails with an error if the code is unknown, if the resource is not a prompt, or if a template variable is missing (the error lists the missing names).

  Parameters:

  • code (required) — string — Short code of the prompt
  • variables (required) — object — Values for each {{variable}}

  Hints: read-only yes · destructive no · idempotent not declared · open-world yes

• estimate_cost read-only

  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; for a dataset: cost of one pass over all rows and a fine-tuning estimate on rented GPUs (hours and offers); for a model: memory (VRAM) needed and GPU offers that fit. Returns available: false with a note when no estimate exists for that type.

  Parameters:

  • code (required) — string — Short code

  Hints: read-only yes · destructive no · idempotent not declared · open-world yes

• search read-only

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

  Parameters:

  • query (required) — string — Search words

  Hints: read-only yes · destructive no · idempotent not declared · open-world yes

• fetch read-only

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

  Parameters:

  • id (required) — string — Resource id or short code

  Hints: read-only yes · destructive no · idempotent not declared · open-world yes

Publisher website

Measured by MCPYP probing. Untested fields are omitted, never estimated. Listing is always free; MCPYP never proxies calls or stores user tokens.