Provenancewhere it came from, and what was verified
Published to the official MCP registry by github.com/calbearken, which proved it owns this namespace.
π‘ Permissions & trustwhat this server can touch before you run it
About
Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
Packages & transports
Computed from the server's own data, not a hidden formula. This measures how much you can depend on it, not how popular it is. Stars are shown separately, on purpose. How it's scored β
βΈtrace_create_workspace93A
βΈtrace_search100A
βΈtrace_ingest_batch92A
βΈtrace_get_passage92A
βΈtrace_get_usage100A
βΈtrace_dispose_workspace100A
Structural, not an LLM's opinion: each check is a fact about the tool's schema, so it's reproducible. One weak tool drags the score (60% average, 40% worst). How it's scored β
Raise this grade
up to +16 on qualityOwn this server? Here's exactly what to change, biggest wins first. Every number below is a fixed point value, so you can see what each edit is worth before you make it.
With no reviews this sits at a neutral 11. Reviews reporting it works push it toward the full 20.
Add an SPDX license (like MIT or Apache-2.0) to the repo so it's detected.
- 1 of 3 params have no description: `documents`. Describe each one.
- 1 of 3 params have no description: `item_id`. Describe each one.
- No `required` array. Declare which params are mandatory so an agent knows what it must provide.
Already earned (4) βΎAlready earned (4) β΄
These are structural checks, so the fixes are exact. See the full formula β
Add a badge to your README
[](https://socketcat.com/servers/io.github.CalBearKen/ls-search)Shows your live quality grade and links back here. It updates itself as the grade changes.
Reviews
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{
"mcpServers": {
"ls_search": {
"command": "npx",
"args": [
"-y",
"ls-search"
]
}
}
}βΆ Try itlive against liangsearch.aioniq.ai
This server has a hosted endpoint, so we can connect and list its actual tools right here. Nothing runs on your machine.