MCP server

ContexteTech Official

io.github.contexte-tech/contexte

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

contextetech.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 1,231 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http contexte https://contextetech.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.contexte]
url = "https://contextetech.com/mcp"

Gemini CLI

{"mcpServers":{"contexte":{"httpUrl":"https://contextetech.com/mcp"}}}

Cursor

{"mcpServers":{"contexte":{"url":"https://contextetech.com/mcp"}}}

VS Code

{"servers":{"contexte":{"type":"http","url":"https://contextetech.com/mcp"}}}

Antigravity

agy mcp add contexte https://contextetech.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"contexte","server_url":"https://contextetech.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"contexte","server_url":"https://contextetech.com/mcp"}

Tools

• estimate_cost ~195 tokens
  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
• fetch ~70 tokens
  Fetch the full content of a ContexteTech resource by the id returned by search.
• fill_prompt ~220 tokens
  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
• load_resource ~285 tokens
  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
• search ~77 tokens
  Search the ContexteTech catalogue of AI datasets, prompts and contexts. Returns results with id, title and url.
• search_resources ~384 tokens
  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

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