agent_chatLABSCO SUMMARY
Autolabelling reachable from the same connection as training is the loop that actually saves time.
Labelling is where vision projects stall — not modelling, not deployment. Being able to autolabel a batch, export a dataset version, train, then read the confusion matrix without leaving the conversation compresses the iteration that normally spans three tools and a week. The edge device and video stream tools matter for the same reason: the last mile is usually a separate ordeal, and here it is the same surface.
What it is
Roboflow's hosted endpoint over their computer-vision platform, covering the full loop from raw images to a model running on a device.
What you get
- Projects and images, annotation including autolabelling, and dataset version exports
- Model training, inference and evaluation, with confusion matrices among the metrics
- Workflows — their inference pipelines — plus edge device and video stream management
- Search across Universe, their public dataset collection
Requirements
An API key from your settings page, sent as an x-api-key header. A skills package is available as an optional install alongside the connection.
Setup effort
Paste a URL with a key — add the endpoint to your client
USE CASES
01
Getting a dataset labelled
Autolabel the batch, then export a dataset version.
02
Training and judging a model
Train, run inference, read the evaluation including the confusion matrix.
03
Shipping to a device
Manage the edge devices and video streams from the same connection.
04
Not starting from zero
Search Universe for an existing public dataset.
67 tools
Listed in project docs. Your client may show a different list.
agent_conversation_getagent_conversations_listagent_workflow_publishprojects_listprojects_createprojects_getprojects_forkprojects_healthcreate_project_appimages_prepare_uploadimages_prepare_upload_zipimages_upload_zip_statusimages_searchannotations_saveautolabel_startautolabel_job_getannotation_batches_listannotation_batches_getannotation_jobs_createversions_generateversions_getversions_exportmodels_listmodels_getmodels_infermodels_trainmodels_get_training_statusmodels_star_nastrainings_get_resultstrainings_stoptrainings_cancelmodel_evals_listmodel_evals_getmodel_evals_get_map_resultsmodel_evals_get_confusion_matrixmodel_evals_get_confidence_sweepmodel_evals_get_performance_by_classmodel_evals_get_image_predictionsmodel_evals_get_vector_analysismodel_evals_get_recommendationsworkflows_listworkflows_getworkflows_createworkflows_updateworkflow_blocks_listworkflow_blocks_get_schemaworkflow_specs_runworkflows_runworkflow_specs_validatedevices_listdevices_getdevices_createdevices_get_configdevices_get_default_configdevices_get_config_historydevices_update_configdevices_get_logsdevices_get_eventsdevices_get_telemetrydevices_streams_listdevices_streams_getuniverse_searchuniverse_search_appuniverse_dataset_images_searchasync_tasks_getmeta_feedback_sendBEFORE YOU INSTALL
What to know first
Tools you get
67 tools named in the project's documentation.
Requires
- an MCP client that can reach a remote endpoint
- An API key in an x-api-key header, taken from your Roboflow settings page
INSTALLATION
Connect your client
Add the endpoint to your client.
Server setup
ENDPOINT URL
https://mcp.roboflow.com/mcpRequirements
- An API key in an x-api-key header, taken from your Roboflow settings page
