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Glama

Ultra MCP

research

Conduct in-depth research using multiple AI providers, generating summaries, detailed reports, or academic outputs based on specific queries and sources.

Instructions

Conduct comprehensive research with multiple output formats

Input Schema

NameRequiredDescriptionDefault
modelNoSpecific model to use
outputFormatNoOutput format for researchdetailed
providerNoAI provider to use (defaults to Azure if configured, otherwise best available)
queryYesResearch query or topic
sourcesNoSpecific sources or contexts to consider

Input Schema (JSON Schema)

{ "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "model": { "description": "Specific model to use", "type": "string" }, "outputFormat": { "default": "detailed", "description": "Output format for research", "enum": [ "summary", "detailed", "academic" ], "type": "string" }, "provider": { "description": "AI provider to use (defaults to Azure if configured, otherwise best available)", "enum": [ "openai", "gemini", "azure", "grok" ], "type": "string" }, "query": { "description": "Research query or topic", "type": "string" }, "sources": { "description": "Specific sources or contexts to consider", "items": { "type": "string" }, "type": "array" } }, "required": [ "query" ], "type": "object" }

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/RealMikeChong/ultra-mcp'

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