Every change Wellknown observed on this MCP server, newest first, with what it was before and what it became. Tool-surface changes carry the definition diff. Nothing here is edited after the fact.
Changed the definition of "load_resource" and "search_resources"
⟨78 unchanged words⟩ 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 ⟨7 unchanged words⟩
⟨121 unchanged words⟩ code, title, type, language, licence, author, rows (datasets), description and page URL; when ⟨10 unchanged words⟩
Removed "get_download_link"; changed the definition of "load_resource" (7 tools before, 6 now)
⟨56 unchanged words⟩ the first rows (default 10, max 50)and a download URL;; for a prompt, the template and its ⟨29 unchanged words⟩
Dataset download link — Direct download link of a whole ContexteTech dataset, for when the user wants the full file (this online server does not write files); to only look at a few rows, use load_resource instead. Formats: jsonl (original), messages (OpenAI chat), sharegpt, alpaca, csv. Returns the URL, format, number of rows, licence, source and page URL. Fails if the code is unknown or the resource is not a dataset.
Changed the definition of "estimate_cost", "fill_prompt", "get_download_link" and 2 more
EstimatedEstimatecostinofeuros what a ContexteTech resource costs to run with common AI models,(euros)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 callor perforpass,eachbatchmodeldiscount,
Unknown → Live
First tool surface recorded: 7 tools (server version online)
pypi:contexte (package_pypi) — from mcp_registry, with the record
https://contextetech.com/mcp (mcp_streamable_http) — from mcp_registry, with the record
Showing the latest 7 events. The API returns up to 500 and filters by kind: ?kind=tool_surface_changed
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 {{variablename}}placeholders)ofandthereturntemplate to its text value; extra keys are ignored. Fails with an error if theready-to-usecodeprompt.is unknown, if the resource is not a prompt, or if a template variable is missing (the error lists the missing names).
Direct download link of a whole ContexteTech dataset,inforJSONLwhen the user wants the full file (this online server does not write files); to only look at a few rows, use load_resource instead. Formats: jsonl (original), messages (OpenAI chat), sharegpt, alpaca, csv. Returns the URL, format, number of rows, licence, source and page URL. Fails if the code is unknown orcsv.the resource is not a dataset.
LoadRead one ContexteTech resource,byusually 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').,Dataset:'author/name',descriptionor '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 firstrows;rows (default 10, max 50) and a download URL; for a prompt:, the template andvariables;its {{variables}} (then call fill_prompt); for a context:, the system prompt, knowledge and examples. Fails with an error if the code does not exist or the resource is private.
⟨26 unchanged words⟩ in official European sources, in 9 languages.ReturnsUseforiteachfirst 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,number ofrows (datasets), description and pageURL.URL; when nothing matches, returns a short message suggesting how to rephrase.