ContexteTech

Install

Works with Claude Code, VS Code, Codex, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/contexte-tech-contexte

About

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.

Tools

6 read · 0 write · 0 deleteRead-only

Secrets

None asked for

Install scripts

None found

Runs as

Python package

Tools (6)

As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• estimate_costEstimate the costread-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.

• fetchFetch (connector format)read-only

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

• fill_promptFill a promptread-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).

• load_resourceLoad a resourceread-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…

• searchSearch (connector format)read-only

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

• search_resourcesSearch the ContexteTech catalogueread-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 'dat…

Signals

Weekly downloads

113

Last release

Oct 15, 2026 (27 days ago)

Last package publish

Oct 15, 2026 (27 days ago)

From the package registry.

Details

Registry name

io.github.contexte-tech/contexte

Version

0.5.2

Auth

Auth not stated

Packages

pypi contexte

License

License unknown

Website

contextetech.com/en/

First seen

Oct 24, 2026

Last checked

Nov 1, 2026

Source

Official MCP Registry