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Managed Research MCP tools use stable smr_* names. Use MCP Quickstart for setup and Get started for Codex and Claude Code install. The authoritative enumeration is ManagedResearchMcpServer._build_tools in managed_research/mcp/server.py in the managed-research repository. The lists below track that surface; if a client is missing a tool, update the package.

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Health, capabilities, and billing

  • smr_health_check
  • smr_get_capabilities
  • smr_get_limits
  • smr_get_capacity_lane_preview
  • smr_get_billing_entitlements

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Projects

  • smr_create_runnable_project
  • smr_list_projects
  • smr_get_project
  • smr_get_default_project
  • smr_rename_project
  • smr_patch_project
  • smr_get_project_status
  • smr_get_project_workspace
  • smr_pause_project
  • smr_resume_project
  • smr_archive_project
  • smr_unarchive_project
  • smr_get_project_entitlement
  • Notes and knowledge: smr_get_project_notes, smr_set_project_notes, smr_append_project_notes, smr_get_org_knowledge, smr_set_org_knowledge, smr_get_project_knowledge, smr_set_project_knowledge, smr_curated_knowledge

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Changesets

  • smr_list_project_changesets
  • smr_create_project_changeset
  • smr_get_project_changeset
  • smr_decide_project_changeset

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Provider keys

  • smr_set_provider_key
  • smr_get_provider_key_status

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GitHub setup

  • smr_setup_github_status
  • smr_setup_github_start_oauth
  • smr_setup_github_list_repos
  • smr_setup_github_disconnect

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Exports

  • smr_setup_exports_list_targets
  • smr_setup_exports_create_target

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Workspace and inputs

  • smr_attach_source_repo
  • smr_get_workspace_inputs
  • smr_upload_workspace_files
  • smr_get_workspace_download_url
  • smr_get_project_git
  • smr_download_workspace_archive

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Objectives and work-mode helpers

  • smr_open_ended_questions
  • smr_objectives
  • smr_directed_effort_outcomes

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Progress, setup, launch, readiness

  • smr_get_project_setup
  • smr_prepare_project_setup
  • smr_list_runbook_presets
  • smr_get_launch_preflight
  • smr_status_readiness

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Repos, datasets, and work files

  • Work repos: smr_work_repos_list, smr_work_repos_attach, smr_work_repos_detach
  • Work datasets: smr_work_datasets_list, smr_work_datasets_upload, smr_work_datasets_download
  • Work files: smr_work_files_list, smr_work_files_upload
  • Run output files: smr_list_run_output_files, smr_get_run_output_file_content

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Resources (catalog-style)

  • Project files: smr_list_project_files, smr_create_project_files, smr_get_project_file, smr_get_file_content
  • External repositories: smr_list_project_external_repositories, smr_create_project_external_repository, smr_patch_project_external_repository
  • Credential refs: smr_list_project_credential_refs, smr_create_project_credential_ref, smr_patch_project_credential_ref
  • Run mounts and bindings: smr_list_run_file_mounts, smr_upload_run_files, smr_list_run_repository_mounts, smr_create_run_repository_mount, smr_list_run_credential_bindings, smr_create_run_credential_binding

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Runs and control

  • Start and list: smr_trigger_run, smr_start_one_off_run, smr_list_runs, smr_get_run, smr_list_active_runs
  • Lifecycle: smr_stop_run, smr_pause_run, smr_resume_run, smr_branch_run_from_checkpoint
  • Contract and execution: smr_get_run_contract, smr_get_run_execution
  • Events and graph: smr_list_run_task_events, smr_list_run_objective_events, smr_get_run_work_graph, smr_get_run_logical_timeline, smr_get_run_event_log
  • Authority and evidence: smr_get_run_authority_readouts, smr_get_run_operator_evidence
  • Traces: smr_get_run_traces, smr_get_run_actor_trace, smr_list_run_actor_traces, smr_get_raw_trace_events, smr_download_raw_trace
  • Actors and participants: smr_get_run_actor_usage, smr_control_project_run_actor, smr_list_run_participants, smr_get_run_artifact_progress, smr_list_run_actor_logs, smr_get_run_primary_parent, smr_run_objective_scopes
  • Steering: smr_runtime_message_queue, smr_runtime_intents
  • Transcript and questions: smr_get_run_transcript, smr_list_run_questions
  • Checkpoints: smr_create_run_checkpoint, smr_list_run_checkpoints, smr_restore_run_checkpoint

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Artifacts and run-scoped lists

  • smr_list_run_artifacts
  • smr_get_run_artifact_manifest
  • smr_get_artifact
  • smr_get_artifact_content
  • smr_download_artifact
  • smr_list_run_models
  • smr_list_run_datasets

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Outputs and work products

  • smr_list_run_work_products
  • smr_get_run_work_product
  • smr_export_run_work_product
  • smr_explain_work_product_blocker
  • Container eval: smr_upload_container_eval_package, smr_validate_container_eval_package

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Results: models and pull requests

  • Models: smr_results_models_list, smr_results_models_get, smr_results_models_download, smr_results_models_export
  • PRs: smr_results_prs_list, smr_results_prs_get

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Trained models (extended)

  • smr_register_trained_model
  • smr_get_trained_model
  • smr_list_trained_models_for_run
  • smr_export_trained_model
  • smr_create_trained_model_adapter_upload_url
  • smr_complete_trained_model_adapter_upload
  • smr_update_trained_model
  • smr_delete_trained_model
  • smr_get_run_cost_summary
  • smr_report_tinker_training_usage

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Approvals and questions

  • smr_list_run_approvals
  • smr_approve_run_approval
  • smr_deny_run_approval
  • smr_respond_to_run_question

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Usage and economics

  • smr_get_run_usage
  • smr_get_run_resource_limits
  • smr_get_run_progress_toward_resource_limits
  • smr_get_project_usage
  • smr_get_project_resource_limits
  • smr_get_project_progress_toward_resource_limits
  • smr_get_project_economics
  • smr_request_resource_limit_extension
Limit progress tools return configured caps, usage, remaining budget, active blockers, and extension posture. Orchestrators should use them to ration work before a hard block: reduce fanout, choose a cheaper model, summarize context, or request an extension early.

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Logs

  • smr_list_run_log_archives

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Launch contract

smr_start_one_off_run and smr_trigger_run require a coherent launch payload (for example work_mode and providers). A typical public example: 
{
  "host_kind": "daytona",
  "work_mode": "directed_effort",
  "providers": [{"provider": "openrouter"}],
  "runbook": "lite"
}
Launch denials surface as MCP tool errors. Treat them as failed tool calls and inspect structured error data when your client exposes it.