INDIVIDUAL MCP TOOL

get_download_link

Direct download link of a whole ContexteTech dataset, in JSONL (original), messages (OpenAI chat), sharegpt, alpaca or csv.

contextetech.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://contextetech.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_download_link and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

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

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: contexte
Remote MCP URL: https://contextetech.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

{
  "name": "contexte",
  "transport": "streamable-http",
  "url": "https://contextetech.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

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.
load_resource — Load one ContexteTech resource by short code (e.
fill_prompt — Fill a ContexteTech prompt template ({{variable}} placeholders) and return the ready-to-use prompt.
estimate_cost — Estimated cost of a ContexteTech resource with common AI models (euros): input and output tokens, cost per call or per pass, batch discount, cheapest model; for a dataset, fine-tuning on a rented GPU.
search — Search the ContexteTech catalogue of AI datasets, prompts and contexts.
fetch — Fetch the full content of a ContexteTech resource by the id returned by search.