AlbumentationsX MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_transformsC | Search AlbumentationsX transform metadata. |
| get_transform_schemaB | Get parameter schema, target support, and summary for one transform. |
| validate_pipelineC | Validate a pipeline spec before previewing or exporting it. |
| recommend_pipelineC | Recommend a conservative starter pipeline for a CV task. |
| adjust_pipelineC | Adjust a pipeline from structured preview feedback tags. |
| explain_pipelineC | Explain likely pipeline effects, risks, and useful preview feedback tags. |
| list_feedback_tagsA | List structured feedback tags accepted by adjust_pipeline. |
| list_quality_profilesA | List task-aware quality profiles accepted by preview comparison tools. |
| recommend_recipeC | Recommend a task-aware starter pipeline, quality profile, and preview workflow. |
| export_pipelineB | Export a validated pipeline as Python, JSON, or YAML. |
| diagnose_environmentC | Diagnose local MCP setup, root access, artifact writes, and public surface discovery. |
| run_host_smoke_checkB | Run a read-only host preflight before rendering local previews. |
| validate_preview_requestC | Validate a preview request before rendering local preview artifacts. |
| plan_dataset_onboardingC | Plan the first safe preview for a local image dataset folder. |
| render_previewC | Render deterministic preview artifacts for local input images. |
| render_preview_batchC | Render deterministic batch preview artifacts and contact sheets for local input images. |
| compare_preview_runsC | Compare two preview manifests to guide structured feedback and reproducible tuning. |
| summarize_tuning_sessionC | Summarize a baseline-to-candidate preview tuning step. |
| start_tuning_sessionC | Start a persistent multi-step preview tuning session. |
| record_tuning_session_stepC | Record one candidate comparison inside an interactive tuning session. |
| list_tuning_sessionsC | List persisted interactive preview tuning sessions. |
| export_tuning_sessionB | Export one interactive tuning session as Markdown or JSON. |
| close_tuning_sessionC | Close an interactive tuning session as accepted or rejected. |
| archive_tuning_sessionB | Archive an interactive tuning session without deleting its audit trail. |
| cleanup_tuning_sessionsB | Delete older interactive tuning sessions, protecting active sessions by default. |
| rank_preview_candidatesC | Rank multiple candidate preview runs against one baseline. |
| score_dataset_preview_candidatesC | Score several preview candidates as one dataset-level decision set. |
| record_preview_feedbackC | Persist user feedback for one concrete preview image variant. |
| list_preview_feedbackC | List concrete preview feedback records. |
| record_tuning_decisionC | Persist a local tuning decision for one preview comparison. |
| list_tuning_decisionsC | List persisted local tuning decisions. |
| export_tuning_reportC | Export persisted tuning decisions as markdown or JSON. |
| export_preview_reportC | Export a visual preview report with ranking, contact sheets, and decisions. |
| list_preview_runsC | List recent preview runs recorded under the configured artifact root. |
| get_preview_manifestC | Return the manifest JSON for one recorded preview run. |
| delete_preview_runA | Delete one preview run and its artifacts from the configured artifact root. |
| cleanup_preview_runsC | Delete older preview runs beyond a retention count. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| build_robustness_augmentation_session | Guide an assistant through preview-driven augmentation tuning. |
| compare_preview_runs_for_feedback | Guide an assistant through preview run comparison before adjustment. |
| run_first_preview_review | Guide an assistant through a first local preview with request validation. |
| tune_pipeline_from_preview_feedback | Guide an assistant through structured preview feedback adjustment. |
| export_reproducible_pipeline | Guide final reproducible pipeline export after preview acceptance. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| transforms_catalog | Return the transform catalog as compact JSON. |
| pipeline_schema | Return the JSON schema for pipeline specs. |
| feedback_tags_resource | Return structured feedback tags accepted by adjustment tools. |
| quality_profiles_resource | Return task-aware quality profiles accepted by comparison tools. |
| recipes_catalog_resource | Return task-aware recipe recommendations as compact JSON. |
| capabilities_resource | Return operational limits and safety boundaries for this MCP server. |
| diagnostics_guide_resource | Return the MCP host diagnostics playbook. |
| workflows_catalog | Return built-in agent workflow guides as compact JSON. |
| task_profiles_resource | Return task-specific workflow profiles as compact JSON. |
| preview_tuning_workflow | Return the preview-driven augmentation tuning workflow guide. |
| annotation_preview_workflow | Return the annotation-aware preview workflow guide. |
| client_smoke_example | Return the MCP host smoke-check example. |
| first_preview_example | Return the MCP first local preview host example. |
| distortion_review_example | Return the MCP distorted robustness review example. |
| dataset_onboarding_example | Return the MCP dataset onboarding host example. |
| diagnostics_example | Return the MCP host diagnostics example. |
| review_loop_example | Return the concrete preview feedback host example. |
| report_handoff_example | Return the visual report handoff host example. |
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