The knowledge layer for any AI.
MindKeepr unifies your company’s knowledge into one governed brain and exposes it through a single API. Connect your sources once, then let Claude, autonomous agents, Copilot, or your own apps query permission-aware, source-traceable answers, without rebuilding RAG.
Your AI tools can only connect to so much.
Every AI tool plugs into a handful of apps, and wiring each one into each model is work you repeat forever. MindKeepr connects to your sources once and becomes the single, governed place every AI reads from. Connect once. Use everywhere.
How it works
Point MindKeepr at the tools your team already uses. It ingests, indexes, and maps permissions for you.
Query governed, source-traceable answers from anywhere, as a REST endpoint or as an MCP server.
Claude, autonomous agents, Copilot, or your own apps all read from the same governed brain.
One call, a sourced answer
Calls run as a user, so every answer respects that person’s access.
curl https://api.mindkeepr.com/v1/answer \
-H "Authorization: Bearer $MINDKEEPR_KEY" \
-H "Content-Type: application/json" \
-d '{ "query": "What is our refund policy?",
"as_user": "jane@acme.com" }'
# response
{
"answer": "Refunds within 30 days, approved by the finance lead.",
"sources": ["finance-policy.md"],
"scope": "user-permitted"
}Add MindKeepr as an MCP server in Claude or any MCP-compatible agent, and it can read your governed knowledge directly, no custom integration required.
Developer FAQ
Through the REST API or as an MCP server. Add MindKeepr once, and any MCP-compatible agent or app can query it without custom integration work.
No. MindKeepr handles ingestion, indexing, permissions, and source-tracing, so you skip the months of work it takes to build and maintain retrieval infrastructure.
Yes. Each call runs as a specific user, so responses are scoped to exactly what that person is allowed to access. The API never returns a source the user could not already open.
Any of them. MindKeepr is model-agnostic, so you can bring Claude, Copilot, autonomous agents, or your own application and point it at the same knowledge layer.
No. Your content is used only to answer your team's questions and is never used to train external or shared models.