Ingest Document Into Knowledge Base

Ingest a document into a knowledge base: it is chunked, embedded and stored for you (managed RAG). Args: namespace: The knowledge-base namespace. text:

liveverifiedunknown~5s typical

mcpprobedbrainiallnlp

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-com-brainiall-nlp /knowledge_ingest for me.

Input

Field	Type	Description
namespace*	string	The knowledge-base namespace to ingest into (alphanumeric/hyphen)
text*	string	The document text to ingest
title	string	Optional title for the document

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-com-brainiall-nlp","endpoint":"/knowledge_ingest","input":{"namespace":"...","text":"..."}}'

cli

npx cracked-ai run -p mcp-com-brainiall-nlp -e /knowledge_ingest -i '{"namespace":"...","text":"..."}'

mcp

run_tool({ provider: "mcp-com-brainiall-nlp", endpoint: "/knowledge_ingest", input: {"namespace":"...","text":"..."} })

Try it

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