Vector Search API MCP Server

by br0ski777 Your server? Claim it

not responding

Vector Search API is listed as active in the registry but did not answer our last check. It exposes 1 tools. Last commit 2 Sep 2026.

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

Uptime history 51 days of history · worst day 0%

51 days agonow

0.0%

Uptime 24h

0 of 91 checks

Tools

read from the server

16 ms

Response time

average over 24h

Stars

last commit 2 Sep 2026

Vector Search API does not always answer

Over the last week it answered 30.5% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

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

URL	Transport	State	Latency	Checked
https://vector-search.api.klymax402.com/mcp	sse	answering	16 ms	11 min ago

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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 0 of 91 checks got a reply (0.0%), average response time 16 ms. The bar chart above shows every period we have measured.

The registry lists Vector Search API as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

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.

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.