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Glama
runapi-ai

Nano Banana MCP Server

by runapi-ai

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
RUNAPI_API_KEYNoYour RunAPI API key. Can also be set via config file at ~/.config/runapi/config.json

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
loginA

Authenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.

edit_imageC

Create a Nano Banana task on RunAPI (edit image). Returns a task id, status, and output URLs.

text_to_imageC

Create a Nano Banana task on RunAPI (text to image). Returns a task id, status, and output URLs.

get_taskB

Fetch the current status and latest result payload for a nano-banana task.

check_pricingC

Look up RunAPI pricing for the nano-banana model line.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.2/5.0

Scored across 5 tools

Disambiguation4/5

edit_image and text_to_image are clearly distinct generation modes, and login/check_pricing are unambiguous. get_task is slightly generic given two creation paths, but its polling role is conceptually distinct from creation.

Naming Consistency4/5

Four tools follow a clean verb_noun pattern (get_task, edit_image, text_to_image, check_pricing). Only 'login' deviates as a bare verb, a minor inconsistency.

Tool Count5/5

Five tools is well-scoped for a model-API wrapper: two generation actions, one status poll, one auth, one pricing lookup. Each earns its place with no filler.

Completeness4/5

Covers create (both modes), poll, auth, and pricing, which handles the core generation lifecycle. Missing list/cancel-task operations are minor gaps an agent can work around.

Maintenance

ActivityMaintained
ResponsivenessNo issues