io.github.vectros-ai/mcp-server

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

What does this entry provide?

io.github.vectros-ai/mcp-server is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding io.github.vectros-ai/mcp-server to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 78/100
Install method: npm
Repo: vectros-ai/vectros-mcp-server
Repo updated: Oct 14, 2026

Install command

npx -y @vectros-ai/mcp-server@0.18.1

Install method: npm

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Oct 14, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-14T01:38:00.009394Z",
      "publishedAt": "2026-10-14T01:38:00.009394Z",
      "statusChangedAt": "2026-10-14T01:38:00.009394Z"
    }
  },
  "server": {
    "name": "io.github.vectros-ai/mcp-server",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.18.1",
    "packages": [
      {
        "version": "0.18.1",
        "transport": {
          "type": "stdio"
        },
        "identifier": "@vectros-ai/mcp-server",
        "registryType": "npm",
        "registryBaseUrl": "https://registry.npmjs.org",
        "environmentVariables": [
          {
            "name": "VECTROS_API_KEY",
            "isSecret": true,
            "isRequired": true,
            "description": "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."
          },
          {
            "name": "VECTROS_KEYRING_ALIAS",
            "description": "Optional. When VECTROS_API_KEY is unset and the vectros CLI is installed, resolve this keyring entry instead of the active one."
          },
          {
            "name": "VECTROS_API_BASE_URL",
            "description": "Override the API base URL (default https://api.vectros.ai). Must be an official *.vectros.ai host."
          },
          {
            "name": "VECTROS_MCP_TOOLS",
            "description": "Comma-separated subset of tool names to register (default: all 23 tools)."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/vectros-ai/vectros-mcp-server",
      "source": "github"
    },
    "websiteUrl": "https://vectros.ai",
    "description": "Typed record store + hybrid search over MCP: deterministic lookups + semantic memory, per-customer."
  }
}

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