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eusef
by eusef

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
ROBOFLOW_API_KEYYesYour Roboflow API key (required)
ROBOFLOW_API_URLNoOverride the base API URLhttps://api.roboflow.com
ROBOFLOW_WORKSPACENoDefault workspace IDAPI key owner's workspace

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
}

Tools

Functions exposed to the LLM to take actions

NameDescription
roboflow_api_statusA

Check Roboflow API connectivity and key validity. Use as a first call to verify setup.

roboflow_universe_searchA

Search Roboflow Universe for existing models and datasets. Use before building a custom model to check if a solution already exists.

roboflow_project_listA

List projects in the authenticated Roboflow workspace.

roboflow_pretrained_listA

List Roboflow's curated pre-trained APIs for common vision tasks (OCR, people detection, PPE, license plates, etc.). These are production-ready, zero-setup endpoints.

roboflow_rapid_createA

Create a model using Roboflow Rapid (prompt-based, no training data required). Describe what to detect in natural language.

roboflow_inference_runA

Run object detection or segmentation inference on a Roboflow model. Accepts image as URL, base64, or local file path.

roboflow_inference_classifyA

Run classification inference on a Roboflow model. Returns top-K class predictions with confidence scores.

roboflow_workflow_listA

List available Roboflow Workflows in a workspace.

roboflow_workflow_runA

Execute a Roboflow Workflow. Workflows chain multiple models and logic steps into a single pipeline.

roboflow_upload_imageA

Upload an image to a Roboflow project dataset for training. Specify the dataset split (train/valid/test).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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