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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
mlops_discoverD
mlops_activateD
mlops_session_statusD
file_readD
file_writeD
file_listD
file_searchD
analysis_directoryD
git_statusD
experiment_list_runsD
model_listD
storage_reportD
create_fileD
read_fileD
write_fileD
delete_fileD
move_fileD
copy_fileD
create_directoryD
rename_fileD
list_filesD
search_filesD
search_file_contentD
get_disk_usageD
batch_deleteD
get_operation_historyD
get_file_infoD
classify_fileD
find_duplicate_filesD
batch_classifyD
get_dataset_statsD
detect_model_frameworkD
get_notebook_summaryD
compare_filesD
compare_directoriesD
create_ml_projectD
list_project_templatesD
add_project_componentD
validate_project_structureD
create_archiveD
extract_archiveD
list_archive_contentsD
archive_experimentD
cleanup_projectD
cleanup_old_checkpointsD
cleanup_failed_runsD
cleanup_empty_logsD
init_experiment_trackerD
create_runD
log_paramsD
log_metricsD
log_artifactD
finish_runD
get_runD
list_runsD
compare_runsD
get_best_runD
delete_runD
export_runs_csvD
profile_datasetD
validate_dataset_schemaD
detect_data_driftD
split_datasetD
merge_datasetsD
check_data_freshnessD
generate_dataset_cardD
find_dataset_filesD
init_model_registryD
register_modelD
list_modelsD
get_model_versionsD
get_model_infoD
promote_modelD
tag_modelD
compare_model_versionsD
deprecate_modelD
delete_model_versionD
get_model_lineageD
create_model_cardD
git_initD
git_addD
git_commitD
git_logD
create_gitignoreD
detect_uncommitted_changesD
dvc_initD
dvc_addD
dvc_pushD
dvc_pullD
dvc_statusD
dvc_reproD
create_dvc_pipelineD
dvc_check_availableD
set_mlflow_tracking_uriD
list_mlflow_experimentsD
get_mlflow_runsD
log_artifact_to_mlflowD
download_mlflow_artifactD
register_model_in_mlflowD
get_mlflow_model_versionsD

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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