Schema | Expo Gemini MCP Server

Expo Gemini MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`PORT`	No	Port to run the server on	3000
`NODE_ENV`	No	Node environment (development or production)	development
`GEMINI_API_KEY`	Yes	Gemini API key required for AI features
`OPENAI_API_KEY`	No	Optional OpenAI API key for embedding generation

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
search_expo_docsB	Search through Expo documentation using semantic search with Gemini AI enhancement
get_expo_examplesA	Get code examples for specific Expo components or APIs using Gemini AI
explain_expo_conceptC	Get detailed explanations of Expo concepts using Gemini AI

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Tai-DT/expo-gemini-mcp-server'

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