MCP server intelligence profile

Gemini MCP Tool MCP Server

MCP server that integrates Google Gemini CLI with AI assistants, enabling large file analysis and natural language queries without an API key

Local Onlyjacobcxdev
Awaiting current scanNpm · 1.2.5

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 @jacobcxdev/gemini-mcp-tool from npm

Version 1.2.5 declares 1 executable entrypoint.

npm install --save-exact @jacobcxdev/gemini-mcp-tool@1.2.5
npx -y -p @jacobcxdev/gemini-mcp-tool@1.2.5 @jacobcxdev/gemini-mcp-tool
MCP client configuration example
{
  "mcpServers": {
    "@jacobcxdev/gemini-mcp-tool": {
      "command": "npx",
      "args": [
        "-y",
        "-p",
        "@jacobcxdev/gemini-mcp-tool@1.2.5",
        "@jacobcxdev/gemini-mcp-tool"
      ]
    }
  }
}

Identity

Canonical sluggemini-mcp-tool-3bff55b0DeploymentLocal Only
Canonical packagenpm:@jacobcxdev/gemini-mcp-toolRepositoryjacobcxdev/gemini-mcp-tool
First published—Latest release—
Last security verification—Classification confidence90%
PublicationDraftOfficial distributionNot verified

Distributions

ChannelIdentifierCurrent versionVersionsSource
npm@jacobcxdev/gemini-mcp-tool1.2.51Repository

Current release

PackageVersionPublished / observedInventorySecurity scan
npm@jacobcxdev/gemini-mcp-tool1.2.5CurrentSep 5, 20266 toolsSucceeded · 0 resources · 6 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
gemini-cli-mcpServer-reported name
3Capability groups
Aug 22, 2026Observed

Tools 6

ToolCategoryAnnotationsRisk
ask-geminimodel selection [-m], sandbox [-s], and changeMode:boolean for providing edits
Input schema
{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "minLength": 1,
      "description": "Analysis request. Use @ syntax to include files (e.g., '@largefile.js explain what this does') or ask general questions"
    },
    "model": {
      "description": "Optional model to use (e.g., 'gemini-2.5-flash'). If not specified, uses the default model (gemini-2.5-pro).",
      "type": "string"
    },
    "sandbox": {
      "default": false,
      "description": "Use sandbox mode (-s flag) to safely test code changes, execute scripts, or run potentially risky operations in an isolated environment",
      "type": "boolean"
    },
    "changeMode": {
      "default": false,
      "description": "Enable structured change mode - formats prompts to prevent tool errors and returns structured edit suggestions that Claude can apply directly",
      "type": "boolean"
    },
    "noFallback": {
      "default": false,
      "description": "Disable automatic fallback from gemini-2.5-pro to gemini-2.5-flash when Pro quota is exceeded",
      "type": "boolean"
    },
    "chunkIndex": {
      "description": "Which chunk to return (1-based)",
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "string"
        }
      ]
    },
    "chunkCacheKey": {
      "description": "Optional cache key for continuation",
      "type": "string"
    }
  },
  "required": [
    "prompt",
    "sandbox",
    "changeMode",
    "noFallback"
  ]
}
——
brainstormGenerate novel ideas with dynamic context gathering. --> Creative frameworks (SCAMPER, Design Thinking, etc.), domain context integration, idea clustering, feasibility analysis, and iterative refinement.
Input schema
{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "minLength": 1,
      "description": "Primary brainstorming challenge or question to explore"
    },
    "model": {
      "description": "Optional model to use (e.g., 'gemini-2.5-flash'). If not specified, uses the default model (gemini-2.5-pro).",
      "type": "string"
    },
    "methodology": {
      "default": "auto",
      "description": "Brainstorming framework: 'divergent' (generate many ideas), 'convergent' (refine existing), 'scamper' (systematic triggers), 'design-thinking' (human-centered), 'lateral' (unexpected connections), 'auto' (AI selects best)",
      "type": "string",
      "enum": [
        "divergent",
        "convergent",
        "scamper",
        "design-thinking",
        "lateral",
        "auto"
      ]
    },
    "domain": {
      "description": "Domain context for specialized brainstorming (e.g., 'software', 'business', 'creative', 'research', 'product', 'marketing')",
      "type": "string"
    },
    "constraints": {
      "description": "Known limitations, requirements, or boundaries (budget, time, technical, legal, etc.)",
      "type": "string"
    },
    "existingContext": {
      "description": "Background information, previous attempts, or current state to build upon",
      "type": "string"
    },
    "ideaCount": {
      "default": 12,
      "description": "Target number of ideas to generate (default: 10-15)",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "includeAnalysis": {
      "default": true,
      "description": "Include feasibility, impact, and implementation analysis for generated ideas",
      "type": "boolean"
    }
  },
  "required": [
    "prompt",
    "methodology",
    "ideaCount",
    "includeAnalysis"
  ]
}
——
fetch-chunkRetrieves cached chunks from a changeMode response. Use this to get subsequent chunks after receiving a partial changeMode response.
Input schema
{
  "type": "object",
  "properties": {
    "cacheKey": {
      "type": "string",
      "description": "The cache key provided in the initial changeMode response"
    },
    "chunkIndex": {
      "type": "number",
      "minimum": 1,
      "description": "Which chunk to retrieve (1-based index)"
    }
  },
  "required": [
    "cacheKey",
    "chunkIndex"
  ]
}
——
Helpreceive help information
Input schema
{
  "type": "object",
  "properties": {},
  "required": []
}
——
pingEcho
Input schema
{
  "type": "object",
  "properties": {
    "prompt": {
      "default": "",
      "description": "Message to echo ",
      "type": "string"
    }
  },
  "required": [
    "prompt"
  ]
}
——
timeout-testTest timeout prevention by running for a specified duration
Input schema
{
  "type": "object",
  "properties": {
    "duration": {
      "type": "number",
      "minimum": 10,
      "description": "Duration in milliseconds (minimum 10ms)"
    }
  },
  "required": [
    "duration"
  ]
}
——

Resources 0

  • None observed.

Resource templates 0

  • None observed.

Prompts 6

  • ask-geminiask-gemini

    Execute 'gemini -p <prompt>' to get Gemini AI's response. Supports enhanced change mode for structured edit suggestions.

  • brainstormbrainstorm

    Generate structured brainstorming prompt with methodology-driven ideation, domain context integration, and analytical evaluation framework

  • fetch-chunkfetch-chunk

    Fetch the next chunk of a response

  • HelpHelp

    receive help information

  • pingping

    Echo test message with structured response.

  • timeout-testtimeout-test

    Test the timeout prevention system by running a long operation

Remote endpoints

EndpointTransportAuthenticationHealthObserved
No verified remote endpoint is linked.

Gemini MCP Tool MCP Server questions

How do I install Gemini MCP Tool MCP Server?

Install the selected package version with: npm install --save-exact @jacobcxdev/gemini-mcp-tool@1.2.5

What tools does Gemini MCP Tool MCP Server provide?

Gemini MCP Tool MCP Server exposed 6 tools during independent protocol observation, including ask-gemini, brainstorm, fetch-chunk, Help, ping, timeout-test.

Is Gemini MCP Tool 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

Google intelligence →

Association is based on retained identity fields; it does not by itself prove first-party publication.

Gemini 286 matches

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