Vectros AI MCP server
io.github.vectros-ai/mcp-server·v0.18.2·2 starsTyped record store + hybrid search over MCP: deterministic lookups + semantic memory, per-customer.
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2 stars127 downloads/wk
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Vectros AI tools
No tool declarations could be read from the package source. They show once the server is installed.
How Vectros AI compares
Against every graded E-commerce MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 82/100
- higher than 75% of 2,174 E-commerce servers
- GitHub stars
- 2
- more than 80% of 1,047 E-commerce servers
- Downloads a week
- 127
- more than 72% of 411 E-commerce servers with a package
Release history: 6 versions in the registry since 2026-09-08, latest 2026-10-26, typically one every 10 days.
Install Vectros AI in Claude Code, Cursor or VS Code
Runs npx -y @vectros-ai/mcp-server on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add mcp-server -- npx -y @vectros-ai/mcp-server
What the publisher says
From the Vectros AI repository's README, as published. We do not edit it. Read it on GitHub
@vectros-ai/mcp-server
One-click badges install the server entry in your client. You still supply
a key — run npx -y @vectros-ai/cli bootstrap (recommended) or paste your
ssk_.... See Connect from your client and the
honest caveats.
A Model Context Protocol server for Vectros — a typed, multi-tenant record store unified with hybrid search and citation-grounded RAG. Deterministic lookups and enumeration and semantic search over one isolated, per-customer index of records and documents — so an agent gets memory that's precise, not just fuzzy recall. Reached agent-natively here over MCP (Claude Desktop, Cursor, Claude Code, Cline, Continue, VS Code, hosted platforms) — and the same data is human-accessible through the Vectros app + SDKs.
npx -y @vectros-ai/mcp-serverYour agent can search your indexed corpus, query structured records, ingest documents, and ask questions grounded against documents — reaching only your tenant's data, never the public web (there are no web tools).
Quick start — one command
The fastest way to set up is the @vectros-ai/cli bootstrap command. It mints a least-privilege scoped key (ssk_*) bound to a narrowed AccessProfile, optionally scaffolds a use-case data model, and safe-merges the vectros server into your MCP client config — no root key, and no hand-editing JSON:
npx -y @vectros-ai/cli bootstrapYou pick what to set up (a blank read-only credential, or a blueprint like task tracking) and sign in once with a token from the developer portal. The command then:
refuses to provision control-plane scope (keys / profiles / billing / …),
- mints a scoped ssk for this machine** (independently rotatable),
- creates the matching AccessProfile — data-plane only; the command
Desktop, Cursor, Cline). For Claude Code, add --client code: it merges the project .mcp.json and prints the equivalent claude mcp add command.
- backs up and merges the entry into claudedesktopconfig.json (Claude
Restart your MCP client and you're done. It's idempotent (re-run any time); --rotate replaces this machine's key.
Want to browse the data yourself? bootstrap sets up the key for your agent, not a login for you — so a blueprint's context won't appear in the data-plane app's switcher until you join your own user to it (the app lists only contexts your user has access in). Grant yourself a role once, either in the admin app (Access → Contexts → your context → Profiles → Create profile, pick yourself from the by-email picker, choose a role — no raw id needed) or from the CLI with --principal me (resolves to your own user):
vectros access grant --principal me --context <context-id> --role <role>Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Vectros AI: common questions
- Is Vectros AI MCP server safe?
- Mostly: it is graded B (82/100). Read the Vectros AI safety report
- How do I install Vectros AI?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Vectros AI need an API key?
- Yes. The registry entry asks for
VECTROS_API_KEY. - Is Vectros AI maintained?
- The last commit was 33 days ago (2026-10-02). The latest release is v0.18.2.
- What can I use instead of Vectros AI?
- Servers from other publishers that do the same job: Mneme Memory MCP server, Kagura Memory Cloud MCP server and Delx Memory MCP server. Compare all Vectros AI alternatives.
- How does Vectros AI compare with other E-commerce MCP servers?
- safety score 82/100 (higher than 75% of 2,174 E-commerce servers); github stars 2 (more than 80% of 1,047 E-commerce servers); downloads a week 127 (more than 72% of 411 E-commerce servers with a package). Full comparison.
Alternatives to Vectros AI
Same job from other publishers: the closest match first, then the best rated.
- Mneme MemoryCross-session memory for AI coding agents via six tools; local-first SQLite store.not reviewedEstablishedA
- Kagura Memory CloudPersistent memory for AI assistants: store, search, and connect knowledge across conversations.not reviewedGrowingA
- Delx MemoryLocal-first persistent memory MCP: shared SQLite key/value store, searchable, TTL-aware, secret-safenot reviewedGrowingA
- Loki ModeAutonomous spec-to-product coding-agent CLI with an MCP server exposing 39 tools over stdio.not reviewedEstablishedB
- ApifyExtract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡not reviewedEstablishedA