AI & Machine Learning
kbrain.io
An MCP server for discovering, listing, and searching connected KBrain knowledge brains to retrieve expert knowledge.
ENDPOINT 1
https://www.kbrain.io/api/mcp/%7Bapi_key%7D
MCP server metadata
- Name
- kbrain
- Version
- 1.0.0
You are connected to KBrain but have no subscribed brains yet. Use discover_brains to find expert brains relevant to the user's topic and share their subscribe_url so the user can subscribe.
Known tools 3
discover_brainsSearch the KBrain marketplace for expert knowledge brains the user is NOT yet subscribed to.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.kbrain]
url = "https://www.kbrain.io/api/mcp/%7Bapi_key%7D"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"kbrain": {
"type": "http",
"url": "https://www.kbrain.io/api/mcp/%7Bapi_key%7D"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: kbrain
Remote MCP URL: https://www.kbrain.io/api/mcp/%7Bapi_key%7D
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": {
"kbrain": {
"url": "https://www.kbrain.io/api/mcp/%7Bapi_key%7D"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"kbrain": {
"type": "http",
"url": "https://www.kbrain.io/api/mcp/%7Bapi_key%7D"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "kbrain",
"transport": "streamable-http",
"url": "https://www.kbrain.io/api/mcp/%7Bapi_key%7D"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.