Skip to main content
Glama

Gemini DeepSearch MCP

by alexcong
16
  • Apple
  • Linux

deep_search

Analyze complex queries with an advanced research agent to generate precise answers and citation-rich results. Customize search effort levels to optimize accuracy and depth of findings.

Instructions

Perform a deep search on a given query using an advanced web research agent.

Args: query: The research question or topic to investigate. effort: The amount of effect for the research, low, medium or hight (default: low). Returns: A dictionary containing the answer to the query and a list of sources used.

Input Schema

NameRequiredDescriptionDefault
effortNoSearch effortlow
queryYesSearch query string

Input Schema (JSON Schema)

{ "properties": { "effort": { "default": "low", "description": "Search effort", "enum": [ "low", "medium", "high" ], "title": "Effort", "type": "string" }, "query": { "description": "Search query string", "title": "Query", "type": "string" } }, "required": [ "query" ], "type": "object" }

You must be authenticated.

Other Tools from Gemini DeepSearch MCP

Related Tools

    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/alexcong/gemini-deepsearch-mcp'

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