Search / io.github.vectros-ai/mcp-server
Vectros-ai
L0· runs locallyTyped record store + hybrid search over MCP: deterministic lookups + semantic memory, per-customer.
v0.18.1 · active · repository · website · descriptor JSON · versions
Search / io.github.vectros-ai/mcp-server
L0· runs locallyTyped record store + hybrid search over MCP: deterministic lookups + semantic memory, per-customer.
v0.18.1 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"vectros-ai": {
"command": "npx",
"args": [
"-y",
"@vectros-ai/[email protected]"
],
"env": {
"VECTROS_API_KEY": "${VECTROS_API_KEY}"
}
}
}
}claude mcp add vectros-ai -e "VECTROS_API_KEY=${VECTROS_API_KEY}" -- npx -y @vectros-ai/[email protected][mcp_servers.vectros-ai]
command = "npx"
args = ["-y", "@vectros-ai/[email protected]"]
env = { "VECTROS_API_KEY" = "${VECTROS_API_KEY}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"vectros-ai": {
"type": "local",
"command": [
"npx",
"-y",
"@vectros-ai/[email protected]"
],
"enabled": true,
"environment": {
"VECTROS_API_KEY": "{env:VECTROS_API_KEY}"
}
}
}
}{
"mcpServers": {
"vectros-ai": {
"command": "npx",
"args": [
"-y",
"@vectros-ai/[email protected]"
],
"env": {
"VECTROS_API_KEY": "${VECTROS_API_KEY}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=vectros-ai&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkB2ZWN0cm9zLWFpL21jcC1zZXJ2ZXJAMC4xOC4xIl0sImVudiI6eyJWRUNUUk9TX0FQSV9LRVkiOiIke1ZFQ1RST1NfQVBJX0tFWX0ifX0%3D"
}{
"servers": {
"vectros-ai": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@vectros-ai/[email protected]"
],
"env": {
"VECTROS_API_KEY": "${VECTROS_API_KEY}"
}
}
}
}{
"mcpServers": {
"vectros-ai": {
"command": "npx",
"args": [
"-y",
"@vectros-ai/[email protected]"
],
"env": {
"VECTROS_API_KEY": "${VECTROS_API_KEY}"
}
}
}
}extensions:
"vectros-ai":
enabled: true
name: "vectros-ai"
type: stdio
cmd: "npx"
args:
- "-y"
- "@vectros-ai/[email protected]"
envs:
"VECTROS_API_KEY": "${VECTROS_API_KEY}"
timeout: 300
Placeholders to fill from your own secret store: ${VECTROS_API_KEY}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulns, deps.mcp_sdk_version, deps.resolvabledeps.dev does not know @vectros-ai/[email protected]No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +website ~liveness-unmeasured +updated-6d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
@vectros-ai/[email protected] npmthis version is not known to the dependency resolver
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
@vectros-ai/mcp-server | npm | 0.18.1 | – | VECTROS_API_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.vectros-ai/mcp-server",
"$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."
}