mcpbeat

Vector Search API MCP Server

io.github.Br0ski777/vector-search
answering

Vector Search API is answering right now. Last checked 5 min ago. It exposes 1 tools. Last commit 19 Jul 2026.

In-memory vector search with TF-IDF and cosine similarity. x402 micropayment.

Uptime history 42 hours of history
42 hours agonow
100.0%
Uptime 24h
91 of 91 checks
1
Tools
read from the server
36 ms
Response time
average over 24h
0
Stars
last commit 19 Jul 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

run in your terminal
claude mcp add vector-search --transport http https://vector-search.api.klymax402.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "vector-search": {
      "url": "https://vector-search.api.klymax402.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.vector-search]
url = "https://vector-search.api.klymax402.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "vector-search": {
      "url": "https://vector-search.api.klymax402.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "vector-search": {
      "url": "https://vector-search.api.klymax402.com/mcp"
    }
  }
}

Available tools 1

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

data
data_vector_search
Use this when you need to store text documents and search them by semantic similarity. Accepts documents to store and a query to search. Uses TF-IDF vectorization with cosine similarity to find the most relevant matches. Returns top-k results with similarity scores. Do NOT use for web search — use web_search_query instead. Do NOT use for keyword research — use keyword_research instead. Do NOT use for text classification — use text_classify instead.

Endpoints

URLTransportStateLatencyChecked
https://vector-search.api.klymax402.com/mcp sse answering 30 ms 5 min ago

Vector Search API — questions

Answers built from our own checks of this server.

What can Vector Search API do?
It exposes 1 tools, read directly from the server on our last check. Among them: data_vector_search. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Vector Search API working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 36 ms. The bar chart above shows every period we have measured.
How do I connect Vector Search API?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Vector Search API need an API key?
No. Vector Search API completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 1 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Vector Search API?
It answers our handshake in 36 ms on average, which is faster than 98% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Vector Search API open source?
Yes — it is published under the MIT licence, written in TypeScript, 0 stars on GitHub and 1 open issue. The source link is on this page, so you can read exactly what it does with your data before you connect it.