kbdb runs on your own machine — the client starts it, so there is no endpoint to ping. 58 installs a week from npm. Last commit 1 Sep 2026.
A searchable second brain for AI agents: ranked keyword and semantic search over your Markdown.
We read the source, 3 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
execSync(
for (const drop of discarded) {
log(
'enrichment discarded ' + drop.path + ' (' + drop.reason + ')',
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add kbdb -- npx -y @dikolab/kbdb
{
"mcpServers": {
"kbdb": {
"command": "npx",
"args": [
"-y",
"@dikolab/kbdb"
]
}
}
}
[mcp_servers.kbdb]
command = "npx"
args = ["-y", "@dikolab/kbdb"]
{
"mcpServers": {
"kbdb": {
"command": "npx",
"args": [
"-y",
"@dikolab/kbdb"
]
}
}
}
{
"servers": {
"kbdb": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@dikolab/kbdb"
]
}
}
}
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Local semantic and keyword search over the markdown in a repo or notes folder.
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The engine of your second brain: Markdown notes as database tables, for you and your agents.
Hybrid semantic and keyword code search for coding agents.
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Answers built from our own checks of this server.