MCP AI Bridge

MIT License

Overview InspectNew Schema Related Servers Reviews Score

ask_gemini

Query Google Gemini AI models (gemini-pro, gemini-1.5-pro, gemini-1.5-flash) using prompts and adjustable temperature settings via the MCP AI Bridge server for contextual responses.

Instructions

Ask Google Gemini AI a question

Input Schema

Name	Required	Description	Default
`model`	No	The model to use (default: gemini-pro)	gemini-pro
`prompt`	Yes	The prompt to send to Gemini
`temperature`	No	Temperature for response generation (0-1)

Input Schema (JSON Schema)

{
  "properties": {
    "model": {
      "default": "gemini-pro",
      "description": "The model to use (default: gemini-pro)",
      "enum": [
        "gemini-pro",
        "gemini-1.5-pro",
        "gemini-1.5-flash"
      ],
      "type": "string"
    },
    "prompt": {
      "description": "The prompt to send to Gemini",
      "type": "string"
    },
    "temperature": {
      "default": 0.7,
      "description": "Temperature for response generation (0-1)",
      "maximum": 1,
      "minimum": 0,
      "type": "number"
    }
  },
  "required": [
    "prompt"
  ],
  "type": "object"
}

You must be authenticated.

Other Tools from MCP AI Bridge

Related Tools

generate_text
@georgejeffers/gemini-mcp-server
ask_openai
@fakoli/mcp-ai-bridge
mcp_gemini_generate_text
@bigdata-coss/agent_mcp
search
@Lorhlona/geminiserchMCP
gemini_generateContent
@bsmi021/mcp-gemini-server
generate_image_from_text
@qhdrl12/mcp-server-gemini-image-generator

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/fakoli/mcp-ai-bridge'

If you have feedback or need assistance with the MCP directory API, please join our Discord server