Klaket MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 34 installs a week from npm. Last commit 14 Jul 2026.
Let AI agents watch videos: local transcripts, speakers, scenes, chapters and moment search
We read the source, 1 h ago · rules 3dff92dd89df
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.
path := filepath.Join(s.dataDir, "jobs", id, "result.json")
proc = subprocess.run(cmd, capture_output=True, text=True)
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 klaket-mcp -- npx -y klaket-mcp
{
"mcpServers": {
"klaket-mcp": {
"args": [
"-y",
"klaket-mcp"
],
"command": "npx"
}
}
}
[mcp_servers.klaket-mcp]
command = "npx"
args = ["-y", "klaket-mcp"]
{
"mcpServers": {
"klaket-mcp": {
"args": [
"-y",
"klaket-mcp"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"klaket-mcp": {
"args": [
"-y",
"klaket-mcp"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
KLAKET_API_URL (Base URL of your Klaket API (default: http://localhost:8484)), KLAKET_API_KEY (API key for cloud/authenticated deployments (not needed for local self-hosting)).
The author declared them in the registry entry; get the values from the project itself.
Podcast search, metadata, chapters, and transcripts for AI agents — from $15/mo
Video transcripts, summaries, chapters, study notes, and comparisons for AI agents.
Federated local-first search across transcripts, files, KG, vectors and the web for AI agents.
Local YouTube memory: transcribe, embed and search videos, with summaries and highlights.
YouTube transcripts for AI agents: videos, channels, playlists, search. Timestamps, SRT, VTT.
Hand any social video to your AI agent — frames + transcript bundled. MCP server for watch-cli.
YouTube transcripts, search, channel browsing, and playlists for AI agents via MCP.
Local, offline transcription, speakers, keyframes, on-screen text and review of any audio or video.
Answers built from our own checks of this server.