MCP server intelligence profile

MCP Gemini API Server MCP Server

A server that provides access to Google Gemini AI capabilities including text generation, image analysis, YouTube video analysis, and web search functionality through the MCP protocol

Local Onlytechkwon
Awaiting current scanNpm · 1.0.1

The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.

1Distribution channel
6Independently observed tools
0Linked remote endpoints
AvailableVersion intelligence

Detailed security scan evidence is not public for this MCP yet. Public identity, registry metadata, and independently observed protocol inventory remain available.

Install and connect

Installation and connection instructions are shown only when supported by retained package, repository, or endpoint evidence.

Install mcp-gemini from npm

Version 1.0.1 declares 1 executable entrypoint.

npm install --save-exact mcp-gemini@1.0.1
npx -y -p mcp-gemini@1.0.1 mcp-gemini
MCP client configuration example
{
  "mcpServers": {
    "mcp-gemini": {
      "command": "npx",
      "args": [
        "-y",
        "-p",
        "mcp-gemini@1.0.1",
        "mcp-gemini"
      ]
    }
  }
}

Identity

Canonical slugmcp-gemini-api-server-d2fbe1b5DeploymentLocal Only
Canonical packagenpm:mcp-geminiRepositorytechkwon/mcp-gemini
First publishedLatest release
Last security verificationClassification confidence90%
PublicationDraftOfficial distributionNot verified

Distributions

ChannelIdentifierCurrent versionVersionsSource
npmmcp-gemini1.0.11Repository

Current release

PackageVersionPublished / observedInventorySecurity scan
npmmcp-gemini1.0.1CurrentSep 5, 20266 toolsSucceeded · 0 resources · 0 promptsEvidence restricted
Enterprise protection

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Current version evidence

No public current-version evidence is available yet.

Current protocol inventory

2025-06-18Negotiated protocol
mcp-geminiServer-reported name
1Capability groups
Aug 21, 2026Observed

Tools 6

ToolCategoryAnnotationsRisk
analyze_directoryAnalyze a directory with a given prompt using Gemini CLI
Input schema
{
  "type": "object",
  "properties": {
    "dir": {
      "type": "string",
      "description": "Directory path to analyze"
    },
    "prompt": {
      "type": "string",
      "description": "Question or instruction for analysis"
    },
    "recursive": {
      "type": "boolean",
      "description": "Whether to analyze recursively",
      "default": true
    },
    "timeout": {
      "type": "number",
      "description": "Timeout in seconds (optional)",
      "default": 300
    },
    "maxOutputKB": {
      "type": "number",
      "description": "Maximum output size in KB (optional)",
      "default": 1024
    }
  },
  "required": [
    "dir",
    "prompt"
  ]
}
analyze_filesAnalyze multiple files with a given prompt using Gemini CLI
Input schema
{
  "type": "object",
  "properties": {
    "paths": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Array of file paths to analyze"
    },
    "prompt": {
      "type": "string",
      "description": "Question or instruction for analysis"
    },
    "timeout": {
      "type": "number",
      "description": "Timeout in seconds (optional)",
      "default": 300
    },
    "maxOutputKB": {
      "type": "number",
      "description": "Maximum output size in KB (optional)",
      "default": 1024
    }
  },
  "required": [
    "paths",
    "prompt"
  ]
}
get_configGet configuration value
Input schema
{
  "type": "object",
  "properties": {
    "key": {
      "type": "string",
      "description": "Configuration key to retrieve"
    }
  },
  "required": [
    "key"
  ]
}
raw_promptExecute a raw prompt without file context using Gemini CLI
Input schema
{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "description": "The prompt to execute"
    },
    "timeout": {
      "type": "number",
      "description": "Timeout in seconds (optional)",
      "default": 300
    },
    "maxOutputKB": {
      "type": "number",
      "description": "Maximum output size in KB (optional)",
      "default": 1024
    }
  },
  "required": [
    "prompt"
  ]
}
set_configSet configuration value
Input schema
{
  "type": "object",
  "properties": {
    "key": {
      "type": "string",
      "description": "Configuration key to set"
    },
    "value": {
      "type": "string",
      "description": "Configuration value to set"
    }
  },
  "required": [
    "key",
    "value"
  ]
}
verify_featureVerify if a feature is implemented in the codebase
Input schema
{
  "type": "object",
  "properties": {
    "featureQuestion": {
      "type": "string",
      "description": "Question about the feature to verify"
    },
    "paths": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Optional specific paths to check"
    },
    "timeout": {
      "type": "number",
      "description": "Timeout in seconds (optional)",
      "default": 300
    },
    "maxOutputKB": {
      "type": "number",
      "description": "Maximum output size in KB (optional)",
      "default": 1024
    }
  },
  "required": [
    "featureQuestion"
  ]
}

Resources 0

  • None observed.

Resource templates 0

  • None observed.

Prompts 0

  • None observed.

Remote endpoints

EndpointTransportAuthenticationHealthObserved
No verified remote endpoint is linked.

MCP Gemini API Server MCP Server questions

How do I install MCP Gemini API Server MCP Server?

Install the selected package version with: npm install --save-exact mcp-gemini@1.0.1

What tools does MCP Gemini API Server MCP Server provide?

MCP Gemini API Server MCP Server exposed 6 tools during independent protocol observation, including analyze_directory, analyze_files, get_config, raw_prompt, set_config, verify_feature.

Is MCP Gemini API Server MCP Server secure?

The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.

Company and product intelligence

These internal links are derived from strong identity fields such as the implementation name, package, repository, vendor, and listing name—not generic description prose.

Associated company landscape

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