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Glama
runapi-ai

@runapi.ai/flux-2-mcp

Official
by runapi-ai

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
RUNAPI_API_KEYYesYour RunAPI API key. Get one at https://runapi.ai.

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.

remix_imageA

Create a Flux 2 task on RunAPI (remix image). Returns a task id, status, and output URLs.

text_to_imageB

Create a Flux 2 task on RunAPI (text to image). Returns a task id, status, and output URLs.

get_taskA

Fetch the current status and latest result payload for a flux-2 task.

check_pricingA

Look up RunAPI pricing for the flux-2 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

A3.9/5.0

Scored across 5 tools

Disambiguation5/5

Each tool serves a distinct function: authentication, task status, pricing lookup, and two clearly separated image generation operations (remix vs. text-to-image). There is no overlap or ambiguity between tool purposes.

Naming Consistency4/5

Most tool names follow a verb_noun pattern (login, get_task, check_pricing, remix_image), but text_to_image deviates by being a noun phrase rather than a verb_noun construction like create_text_to_image. The pattern is otherwise consistent and readable.

Tool Count5/5

With 5 tools, the server is tightly scoped to the core workflow: authenticate, create two types of tasks, check task status, and look up pricing. This is a well-sized set with no redundant or unnecessary tools.

Completeness5/5

The tool surface covers the full lifecycle for a Flux-2 image generation service: setup (login), execution (remix_image and text_to_image), monitoring (get_task), and cost planning (check_pricing). There are no obvious gaps that would prevent an agent from completing common tasks.

Maintenance

ActivitySlowing
ResponsivenessNo issues