io.github.contexte-tech/contexte
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Publisher-provided title
ContexteTech
Publisher-provided description
Search and load AI datasets, prompts and few-shot contexts from the ContexteTech catalogue.
Summary by lookupd
Searches and loads AI datasets, prompts and few-shot contexts, and estimates running costs with common AI models.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http contexte https://contextetech.com/mcp
Claude Code, pypi package (stdio)
claude mcp add contexte -- uvx contexte
Codex, remote (streamable-http)
codex mcp add contexte --url https://contextetech.com/mcp
Codex, pypi package (stdio)
codex mcp add contexte -- uvx contexte
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"contexte": {
"url": "https://contextetech.com/mcp"
}
}
}Cursor, pypi package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"contexte": {
"command": "uvx",
"args": [
"contexte"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (6 tools)
Publisher-provided text
search_resourcesSearch the ContexteTech catalogue of AI building blocks: fine-tuning and evaluation datasets (chat, DPO, agent traces), prompts, few-shot contexts, MCP servers,load_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.gfill_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_reestimate_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 orsearchSearch 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.
Details
- Version: 0.5.2
- Transports: streamable-http, stdio
- Uptime (7 days): 100%
- Median latency: 812 ms
- First indexed:
- Last seen in registry:
- Website: https://contextetech.com/en/
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