train — Terradev MCP Tool
train
(train) is one of 245 tools on the
Terradev
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call train from your client
- Claude Code Terradev train run in your project directory
- Claude Desktop Terradev train ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Terradev train ~/.cursor/mcp.json
- VS Code Terradev train .vscode/mcp.json
- Zed Terradev train ~/.config/zed/settings.json
- Windsurf Terradev train ~/.codeium/windsurf/mcp_config.json
- Cline Terradev train ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Terradev train ~/.gemini/settings.json
- Grok Terradev train .mcp.json (in your project root)
- ChatGPT Terradev train Settings → Connectors → Advanced → Developer mode
- Claude.ai Terradev train Settings → Connectors → Add custom connector
- LangChain Terradev train pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport sse terradev https://terradev-mcp.terradev.cloud/sseOther tools on this server
- provision_gpu
- preflight_report
- preflight_gpu_check
- preflight_network_check
- local_scan
- status
- manage_instance
- analytics
- optimize
- setup_provider
- configure_provider
- preflight
- stage
- up
- rollback
- manifests
- run_workflow
- active_context
- governance_request_consent
- governance_record_consent
- governance_evaluate_opa
- governance_move_data
- governance_movement_history
- governance_compliance_report
- inferx_deploy
- inferx_status
- inferx_list
- inferx_optimize
- inferx_configure
- inferx_delete
- inferx_usage
- inferx_quote
- infer_route
- infer_route_disagg
- infer_failover
- gpu_topology
- vllm_start
- vllm_stop
- vllm_inference
- vllm_info
- vllm_sleep
- vllm_wake
- sglang
- sglang_start
- sglang_stop
- sglang_inference
- ollama_list
- ollama_pull
- ollama_generate
- ollama_chat
- ollama_model_info
- vllm_auto_optimize
- vllm_analyze
- vllm_benchmark
- ollama_ps
- langfuse_configure
- langfuse_test
- langfuse_traces
- langfuse_trace
- langfuse_scores
- langfuse_score
- langfuse_datasets
- langfuse_export_training_data
- langfuse_quality
- langfuse_otel_env
- langfuse_k8s
- k8s_create
- k8s_list
- k8s_info
- k8s_destroy
- helm_generate
- kserve_generate_yaml
- kserve_list
- kserve_status
- k8s_gpu_operator_install
- k8s_device_plugin
- k8s_mig_configure
- k8s_time_slicing
- hf_space_deploy
- hf_space_status
- ray_status
- ray_start
- ray_stop
- ray_submit_job
- ray_list_jobs
- ray_wide_ep_deploy
- ray_disagg_pd_deploy
- ray_parallelism_strategy
- wandb_list_projects
- wandb_list_runs
- wandb_run_details
- mlflow_list_experiments
- mlflow_log_run
- mlflow_register_model
- dvc_status
- dvc_diff
- dvc_stage_checkpoint
- dvc_push
- hf_list_models
- hf_list_datasets
- hf_model_info
- hf_create_endpoint
- hf_list_endpoints
- hf_endpoint_info
- hf_delete_endpoint
- hf_endpoint_infer
- hf_smart_template
- hf_hardware_recommend
- hf_hardware_compare
- langchain_create_workflow
- langchain_create_sglang_pipeline
- langgraph_create_workflow
- langgraph_orchestrator_worker
- langgraph_evaluation_workflow
- langgraph_workflow_status
- wandb_create_dashboard
- wandb_create_terradev_dashboard
- wandb_create_report
- wandb_create_terradev_report
- wandb_setup_alerts
- wandb_create_terradev_alerts
- wandb_dashboard_status
- phoenix_test
- phoenix_projects
- phoenix_spans
- phoenix_trace
- phoenix_otel_env
- phoenix_snippet
- phoenix_k8s
- guardrails_test
- guardrails_chat
- guardrails_generate_config
- guardrails_k8s
- qdrant_test
- qdrant_collections
- qdrant_create_collection
- qdrant_info
- qdrant_count
- qdrant_k8s
- deepeval_run
- deepeval_metrics
- deepeval_evaluate
- deepeval_init
- egress_cheapest_route
- egress_optimize_staging
- orchestrator_start
- orchestrator_register
- orchestrator_load
- orchestrator_evict
- orchestrator_status
- orchestrator_infer
- warm_pool_start
- warm_pool_status
- price_intel
- cost_analyze
- cost_optimize_recommend
- cost_simulate
- price_trends
- price_spot_risk
- moe_deploy
- train_status
- train_monitor
- checkpoint_list
- checkpoint_save
- train_stop
- train_resume
- checkpoint_restore
- checkpoint_promote
- checkpoint_delete
- lora_list
- lora_add
- lora_remove
- training_config_generate
- training_launch_distributed
- train_snapshot
- train_detect_stragglers
- agent_agentic_serving_configure
- agent_agentic_serving_helm_values
- agent_agentic_serving_k8s
- agent_agentic_serving_launch_args
- agent_agentic_serving_lmcache_env
- agent_agentic_serving_show_config
- agent_cost
- agent_deploy
- agent_langchain_create_langgraph
- agent_langchain_create_pipeline
- agent_langchain_create_workflow
- agent_langchain_test
- agent_langgraph_create_workflow
- agent_langgraph_deploy
- agent_langgraph_status
- agent_langgraph_test
- agent_letta_chat
- agent_letta_create
- agent_letta_delete
- agent_letta_list
- agent_letta_remember
- agent_letta_status
- agent_mem0_add
- agent_mem0_configure
- agent_mem0_delete
- agent_mem0_forget
- agent_mem0_get
- agent_mem0_list
- agent_mem0_search
- agent_mem0_test
- agent_mem0_update
- agent_list
- agent_plan
- agent_scale
- agent_skill_attach
- agent_skill_init
- agent_status
- agent_teardown
- agent_vector_db_down
- agent_vector_db_up
- ml_vllm_lora_link
- ml_vllm_lora_list
- ml_vllm_lora_load
- ml_vllm_lora_sync
- ml_vllm_lora_unload
- database_weaviate_create_collection
- database_weaviate_delete_collection
- database_weaviate_hybrid_search
- database_weaviate_insert
- database_weaviate_list_collections
- database_weaviate_query
- database_weaviate_up
- train_unsloth_run
- train_unsloth_start
- train_unsloth_stop
- create_sqlite_connection
- create_postgresql_connection
- query_database
- upsert_database
- get_database_connection
- secrets_set
- secrets_get
- secrets_list
- secrets_remove
- secrets_sync
- secrets_verify
- secrets_env
- secrets_run
This list was read from the server itself, by connecting to it and calling tools/list on 24 September 2026. It is what
the server actually exposes, not what its listing claims.
Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.