Connect-MCP

ContexteTech

io.github.contexte-tech/contexte · v0.5.2

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

MCPremotelocal · pypino credentialsAI & LLMScience & open dataMessaging

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 88/100

What it does: 6 tools · 6 read, 0 write · AI & LLM, Developer tools, Messaging

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://contextetech.com/mcp
Package
registry:   pypi
identifier: contexte
version:    0.5.1
transport:  stdio

Tools

6 tools listed at last check
  • 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 dat
  • 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; p
  • 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 k
  • 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 o
  • search Search the ContexteTech catalogue of AI datasets, prompts and contexts. Returns results with id, title and url.
  • fetch Fetch the full content of a ContexteTech resource by the id returned by search.

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