Ls Search

io.github.CalBearKenPublished by GitHub account CalBearKenv1.0.1Updated Oct 28, 2026

Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.

VerifiedStreamable HTTPWeb executableKnowledge & MemoryAI & ML

Overview

AI-generated overview

Remote MCP endpoint offering disposable private vector search and semantic RAG for AI agents, paid per call via x402 with no account.

What you can do
  • The manifest lists no tools, so capabilities come from the short description only.
  • It is described as providing private vector search and semantic retrieval-augmented generation for AI agents.
  • Indexes are described as disposable, suggesting short-lived per-session or per-task retrieval rather than a persistent knowledge base.
  • Access is metered per call through x402 payments instead of an account or API key.
When to use it
Consider it when an assistant needs quick semantic search or RAG over content without signing up for an account or maintaining a long-lived vector database, and when per-call payment is acceptable.
Requirements
A remote streamable HTTP endpoint; no local package, environment variables or headers are declared. No account is needed, but x402 pay-per-call implies a payment-capable client or wallet to settle charges.
Before you install
Calls are billed per use through x402, so costs can accumulate and a payment-capable wallet or client is involved. The service is described as private, but no details on data handling are given, so avoid sending sensitive content. No tool list or documentation is published, so behavior is unverified.

Installation

In SourceWeft

  1. Open Ls Search in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.CalBearKen%2Fls-search/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "ls-search": {
      "type": "http",
      "url": "https://liangsearch.aioniq.ai/mcp"
    }
  }
}

README

This repository has no README.

Tools

0
SourceWeft has not read this server's tools yet.

Version history

1
  1. v1.0.1LatestSep 16, 2026

Score

25% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declaredRequired10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • License10 pts

    Declare a license in the repository or the registry entry.