All servers · Datasets & public data
ContexteTech
io.github.contexte-tech/contexte · v0.5.2
Instruction-like text in descriptionsTools changed (7 days)
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Read-only (all tools declare readOnlyHint) |
| Capabilities declared | tools |
| Tool definitions | 6 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Instruction-like text was found in load_resource. This is a pattern match, not a verdict. What we look for
Description written by the publisher, not verified
Search and load AI datasets, prompts and few-shot contexts from the ContexteTech catalogue.
Connect
streamable-http · https://contextetech.com/mcp
claude mcp add --transport http contexte https://contextetech.com/mcp{
"mcpServers": {
"contexte": {
"url": "https://contextetech.com/mcp"
}
}
}Tools as reported by the server
search_resourcesSearch 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 datload_resourceRead 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; pfill_promptFill 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 kestimate_costEstimate 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 osearchSearch the ContexteTech catalogue of AI datasets, prompts and contexts. Returns results with id, title and url.fetchFetch the full content of a ContexteTech resource by the id returned by search.
Tool changes
- 2026-10-18: search_resources, load_resource, fill_prompt, estimate_cost, search, fetch
- 2026-10-17: search_resources, load_resource, fill_prompt, get_download_link, estimate_cost, search, fetch
- 2026-10-16: search_resources, load_resource, fill_prompt, get_download_link, estimate_cost, search, fetch
Website · JSON · Text for agents · Registry updated 2026-10-15