ContexteTech
Search and load AI datasets, prompts and few-shot contexts from the ContexteTech catalogue.
| Endpoint | https://contextetech.com/mcp (streamable-http) |
|---|---|
| Registry version | 0.5.2 |
| Now | 6 tools · grade A (94) · pin ts_cc092d82652ac9d4a5f2607cf12d0f0e · protocol 2025-06-18 |
| First / last listed | 2026-10-30 00:47 UTC / 2026-10-30 00:47 UTC |
| Grade over time | 2026-10-30: A (94), 6 tools |
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Tools: search_resources load_resource fill_prompt estimate_cost search fetch
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 training or evaluation data, a prompt, a context or an AI component, then call load_resource with a returned code. Write the t params: query*, type, language |
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, version and page URL; plus, for a dataset, the total number of rows, the first rows (default 10, max 50); for a prompt, the params: code*, rows |
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 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 params: code*, variables* |
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; for a dataset: cost of one pass over all rows and a fine-tuning estimate on rented GPUs (hours and offers); for a model: params: code* |
search | Search the ContexteTech catalogue of AI datasets, prompts and contexts. Returns results with id, title and url. params: query* |
fetch | Fetch the full content of a ContexteTech resource by the id returned by search. params: id* |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.