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Glama
InfolabAI

Gemini MCP Server

by InfolabAI
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

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.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
run_geminiB
Gemini를 사용하여 프롬프트를 실행합니다.

Args:
    prompt: Gemini에 전달할 프롬프트
    file_dir_url_path: 분석할 파일, 디렉토리 또는 URL 경로
    working_directory: 작업 디렉토리 (필수)

Returns:
    dict: 실행 결과 또는 에러 메시지

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.2/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap. The single tool 'run_gemini' has a clear, distinct purpose of executing prompts with the Gemini model.

Naming Consistency5/5

The naming is trivially consistent as there is only one tool. It follows a clear verb_noun pattern ('run_gemini'), and with no other tools to compare, there are no inconsistencies.

Tool Count2/5

A single tool is too few for a server named 'Gemini MCP Server', which suggests broader capabilities. While the tool handles prompt execution, typical MCP servers for AI models include tools for chat, streaming, configuration, or model selection, making this feel thin and under-scoped.

Completeness2/5

The tool surface is severely incomplete for a Gemini server. It lacks basic operations like chat interactions, model listing, or streaming responses, and does not cover common workflows such as multi-turn conversations or system prompt management, leading to significant gaps.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources