Knolo runs on your own machine — the client starts it, so there is no endpoint to ping. 220 installs a week from npm. Last commit 8 Nov 2026.
Verified, local-first retrieval over pinned Knolo Knowledge Images.
We read the source, 10 h ago · rules 995398eba69f
Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.
.map((file) => readFileSync(path.join(import.meta.dirname, file), 'utf8'))
const result = spawnSync(process.execPath, [script], { stdio: 'inherit' });
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
Today is the operative word: we check Knolo every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
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 knolo -e 'KNOLO_MCP_CONFIG=<KNOLO_MCP_CONFIG>' -- npx -y @knolo/mcp
{
"mcpServers": {
"knolo": {
"command": "npx",
"args": [
"-y",
"@knolo/mcp"
],
"env": {
"KNOLO_MCP_CONFIG": "<KNOLO_MCP_CONFIG>"
}
}
}
}
[mcp_servers.knolo]
command = "npx"
args = ["-y", "@knolo/mcp"]
env = { KNOLO_MCP_CONFIG = "<KNOLO_MCP_CONFIG>" }
{
"mcpServers": {
"knolo": {
"command": "npx",
"args": [
"-y",
"@knolo/mcp"
],
"env": {
"KNOLO_MCP_CONFIG": "<KNOLO_MCP_CONFIG>"
}
}
}
}
{
"servers": {
"knolo": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@knolo/mcp"
],
"env": {
"KNOLO_MCP_CONFIG": "<KNOLO_MCP_CONFIG>"
}
}
}
}
Put your own value in place of
<KNOLO_MCP_CONFIG> (Absolute path to knolo-mcp config JSON).
The author’s registry entry marks it as required.
Local-first MCP memory server for persistent LLM knowledge with BM25 retrieval.
Local-first personal knowledge base. Cited answers from your vault via vector + graph retrieval.
Local-first knowledge engine for AI agents: memory, graph, and recall over MCP.
Minimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks. Local embeddings.
PIL: local-first knowledge base for your Instagram saved posts, with a read-only MCP server.
Local-first memory and knowledge graph for coding agents. Compact retrieval, no network.
Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP.
Shared, versioned knowledge for AI coding agents: cited retrieval and publishing of OKF bundles.
Answers built from our own checks of this server.