Connect

8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "google-ai-search-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}"
      }
    }
  }
}

claude mcp add google-ai-search-mcp -e "GEMINI_API_KEY=${GEMINI_API_KEY}" -- npx -y [email protected]

[mcp_servers.google-ai-search-mcp]
command = "npx"
args = ["-y", "[email protected]"]
env = { "GEMINI_API_KEY" = "${GEMINI_API_KEY}" }

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "google-ai-search-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "[email protected]"
      ],
      "enabled": true,
      "environment": {
        "GEMINI_API_KEY": "{env:GEMINI_API_KEY}"
      }
    }
  }
}

{
  "mcpServers": {
    "google-ai-search-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=google-ai-search-mcp&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsImdvb2dsZS1haS1zZWFyY2gtbWNwQDEuMS4xIl0sImVudiI6eyJHRU1JTklfQVBJX0tFWSI6IiR7R0VNSU5JX0FQSV9LRVl9In19"
}

{
  "servers": {
    "google-ai-search-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}"
      }
    }
  }
}

{
  "mcpServers": {
    "google-ai-search-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}"
      }
    }
  }
}

extensions:
  "google-ai-search-mcp":
    enabled: true
    name: "google-ai-search-mcp"
    type: stdio
    cmd: "npx"
    args:
      - "-y"
      - "[email protected]"
    envs:
      "GEMINI_API_KEY": "${GEMINI_API_KEY}"
    timeout: 300

Placeholders to fill from your own secret store: ${GEMINI_API_KEY}. The registry never accepts secret values.

This is a local package: the command runs on your machine.

Quality – / 100not scored

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

protocoln/a · weight 25

n/a
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygienen/a · weight 30

n/a
tools.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)

stabilityn/a · weight 15

n/a
stability.changes, stability.rug_pulltool list unknown

dependencies50 · weight 15

warn
deps.known_vulns1 advisory of lower severity or without a published fix: GHSA-73rr-hh4g-fpgx in [email protected] (direct, fixed in 8.0.3)
fail
deps.mcp_sdk_version@modelcontextprotocol/sdk 0.6.0 has 1 known advisory (GHSA-w48q-cv73-mx4w); update @modelcontextprotocol/sdk to 1.24.0 or later
pass
deps.resolvable[email protected] resolved: 62 packages

Tool list unknown · checked 2026-10-19 13:05 UTC

Tool changes

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.

Trust 87 / 100

provenance80

livenessn/a

freshness85

hygiene100

+repository +namespace-matches-repo ~liveness-unmeasured ~updated-69d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Dependencies

[email protected] npm61 dependencies, resolved · MCP SDK @modelcontextprotocol/sdk 0.6.0 · advisories checked 2026-10-19

advisory	severity	package	fixed in
GHSA-w48q-cv73-mx4wModel Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default	high	`@modelcontextprotocol/[email protected]`MCP SDK, direct	fixed in `1.24.0`
GHSA-73rr-hh4g-fpgxjsdiff has a Denial of Service vulnerability in parsePatch and applyPatch	low	`[email protected]`direct	fixed in `8.0.3`

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.

Endpoints

package	registry	version	runtime	secrets
`google-ai-search-mcp`	npm	1.1.1	–	`GEMINI_API_KEY`

Tools (0)

No tools observed. Local packages are never executed by the registry.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.shariqriazz/google-ai-search-mcp",
  "title": "Google AI Search MCP",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "version": "1.1.1",
  "packages": [
    {
      "version": "1.1.1",
      "transport": {
        "type": "stdio"
      },
      "identifier": "google-ai-search-mcp",
      "registryType": "npm",
      "environmentVariables": [
        {
          "name": "AI_PROVIDER",
          "format": "string",
          "description": "Select vertex or gemini. Defaults to vertex."
        },
        {
          "name": "GOOGLE_CLOUD_PROJECT",
          "format": "string",
          "description": "Google Cloud project ID. Required when AI_PROVIDER is vertex."
        },
        {
          "name": "GOOGLE_CLOUD_LOCATION",
          "format": "string",
          "description": "Vertex AI location. Defaults to us-central1."
        },
        {
          "name": "GEMINI_API_KEY",
          "format": "string",
          "isSecret": true,
          "description": "Gemini API key. Required when AI_PROVIDER is gemini."
        }
      ]
    }
  ],
  "repository": {
    "url": "https://github.com/shariqriazz/google-ai-search-mcp",
    "source": "github"
  },
  "description": "Google AI search and documentation tools for MCP clients using Vertex AI or the Gemini API."
}