mcpbeat Sign in

Vectros AI MCP Server

by vectros-ai Your server? Claim it
local only

Vectros AI runs on your own machine — the client starts it, so there is no endpoint to ping. 123 installs a week from npm. Last commit 8 Nov 2026.

Typed record store + hybrid search over MCP: deterministic lookups + semantic memory, per-customer.

Installs per day peak 182 · avg 22 · -69% w/w
a month agotoday
123
Installs / week
npm · @vectros-ai/mcp-server
2
Stars
0 open issues
8 Nov 2026
Last commit
11 releases in 90 days
Apache-2.0
License
TypeScript

What the code does

We read the source, 5 d ago · rules 995398eba69f

Capabilities

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.

Builds a file path from a variable src/resolve-key.ts:298
      const candidate = path.join(dir, command + ext);

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

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.

Three servers free · no card

Connect this server

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.

run in your terminal
claude mcp add mcp-server -e 'VECTROS_API_KEY=<VECTROS_API_KEY>' -- npx -y @vectros-ai/mcp-server
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@vectros-ai/mcp-server"
      ],
      "env": {
        "VECTROS_API_KEY": "<VECTROS_API_KEY>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-server]
command = "npx"
args = ["-y", "@vectros-ai/mcp-server"]
env = { VECTROS_API_KEY = "<VECTROS_API_KEY>" }
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@vectros-ai/mcp-server"
      ],
      "env": {
        "VECTROS_API_KEY": "<VECTROS_API_KEY>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@vectros-ai/mcp-server"
      ],
      "env": {
        "VECTROS_API_KEY": "<VECTROS_API_KEY>"
      }
    }
  }
}

Put your own value in place of <VECTROS_API_KEY> (Vectros API key. Use a least-privilege scoped key (ssk_...); mint one with `npx -y @vectros-ai/cli bootstrap`. Required for a registry install, which cannot assume any other tooling is present. If you also install the vectros CLI (0.9.0+), the server can instead resolve the key from its keyring and this can be left unset). The author’s registry entry marks it as required.

Optional settings from the registry entry, left out of the block above: VECTROS_KEYRING_ALIAS (Optional. When VECTROS_API_KEY is unset and the vectros CLI is installed, resolve this keyring entry instead of the active one), VECTROS_API_BASE_URL (Override the API base URL (default https://api.vectros.ai). Must be an official *.vectros.ai host), VECTROS_MCP_TOOLS (Allow-list: comma-separated names of the only tools to register (default: all 26 tools)).

Alternatives to Vectros AI

same job, measured the same way
redm-mcp
by cmoen11

RedM / RDR3 docs MCP server: native lookups, semantic search, VORP, RSGCore, oxmysql.

10 tools answering
I Ching Hexagram MCP
by iching

Public, read-only MCP over the complete 64-hexagram I Ching corpus. Deterministic lookup only.

10 tools answering
Longterm Memory
by marcelroozekrans

A fully local MCP server for long-term memory with semantic search

388 installs/wk local only
MCP External Memory
by daedalus

An MCP server that gives LLMs persistent, searchable semantic memory

122 installs/wk local only
Trademarks
by pipeworx-io

Trademarks MCP — US trademark search + record lookup

238 installs/wk 48 tools answering
polymnemo
by pcbz

Shared cross-LLM long-term memory over MCP: semantic recall, sessions, and media (pgvector).

12 tools answering
Ainative Memory MCP
by ainative-studio

Cloud-persistent, semantic-search memory MCP — drop-in for server-memory, backed by ZeroDB.

243 installs/wk local only
Stompy – AI Memory for Claude & MCP Agents
by stompy

Persistent AI memory with semantic search, conflict detection, and ticketing.

answering

Vectros AI — questions

Answers built from our own checks of this server.

Why is there no uptime for Vectros AI?
Vectros AI runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package @vectros-ai/mcp-server was installed 123 times last week.
How do I connect Vectros AI?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls @vectros-ai/mcp-server straight from npm; nothing to host, nothing to sign up for.
How many people use Vectros AI?
The npm package @vectros-ai/mcp-server was installed 123 times in the last week. Week over week that is -69%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Vectros AI open source?
Yes — it is published under the Apache-2.0 licence, written in TypeScript and 2 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.