AlbumentationsX MCP
AlbumentationsX MCP is a Model Context Protocol server that helps computer vision practitioners discover, build, validate, preview, tune, and export image augmentation pipelines using AlbumentationsX.
Transform Discovery & Inspection
Search transforms by query, target type, bbox type, or transform type
Retrieve detailed parameter schemas, target support, and summaries for specific transforms
Pipeline Management
Recommend starter pipelines for CV tasks (classification, detection, segmentation, OCR) at low/medium/high intensity
Recommend full recipes including quality profiles and preview workflows
Validate, explain, and adjust pipelines based on structured feedback tags
Export validated pipelines as Python, JSON, or YAML
Environment & Diagnostics
Diagnose MCP setup, filesystem/root access, and artifact write permissions
Run read-only preflight (smoke) checks to ensure readiness for local preview rendering
Preview Rendering
Plan dataset onboarding and validate preview requests before rendering
Render deterministic single-image or batch previews and contact sheets
Preview Comparison & Analysis
Compare two preview runs side-by-side with quality summaries
Rank multiple candidate pipelines against a baseline
Score dataset-level preview candidates as decision sets
Tuning Sessions
Start persistent, multi-step tuning sessions to iteratively refine pipelines
Record steps, summarize progress, list, export, close, archive, and clean up sessions
Feedback & Decisions
Record and list granular per-image preview feedback (e.g.,
too_noisy:high)Persist and list local tuning decisions
List all accepted feedback tags and task-aware quality profiles
Reporting & Export
Export tuning reports (Markdown/JSON) and visual preview reports (Markdown/HTML) with ranking, contact sheets, and decisions
Preview Run Management
List, retrieve manifests for, delete, and clean up older preview runs and their artifacts
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@AlbumentationsX MCPrecommend a pipeline for object detection"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AlbumentationsX MCP
Model Context Protocol server for AlbumentationsX: transform discovery, pipeline validation, deterministic previews, feedback loops, and reproducible exports for computer vision.
Purpose
AlbumentationsX MCP is a thin, typed MCP layer around existing AlbumentationsX primitives. It helps MCP hosts:
discover transforms and schemas from
albu-spec;recommend and validate augmentation pipelines;
render local batch previews and compare preview runs;
record concrete feedback such as
too_noisy:high;export accepted pipelines and review reports.
The server does not execute arbitrary Python, fetch remote images, overwrite datasets, or train models. Local preview access is bounded by --allowed-root, and generated artifacts are written under --artifact-root.
Related MCP server: ZenML MCP Server
Quick Start
Run the published server:
uvx --from albumentationsx-mcp albumentationsx-mcpFor local development:
uv sync --all-extras --dev
uv run albumentationsx-mcpFor preview work, scope filesystem access explicitly:
uvx --from albumentationsx-mcp albumentationsx-mcp \
--allowed-root /absolute/path/to/images \
--artifact-root /absolute/path/to/albu-artifactsCopyable host snippets are in examples. Full setup is in docs/INSTALL.md; the guided
trial is docs/FIRST_10_MINUTES.md. Agent skill:
npx skills add dKosarevsky/albu-mcp; this installs agent guidance, not the MCP server; run the server with
uvx --from albumentationsx-mcp albumentationsx-mcp.
Operator CLI
Full command details are in docs/USAGE.md. The shortest real-use operator path is:
albu-mcp host setup-probe --host Codex --live --format json
albu-mcp preview first-pack --dataset-path /absolute/path/to/images --allowed-root /absolute/path/to --artifact-root /absolute/path/to/albu-artifacts --format json
albu-mcp evidence collect --host Codex --date YYYY-MM-DD --reviewer "Release operator" --format json
albu-mcp intake bundle --output-dir docs/intake-bundle --format markdown
albu-mcp beta loop-pack --output-dir docs/beta-loop --format markdown
albu-mcp rc go-check --format jsonInside MCP hosts, use plan_augmentation_policy, plan_augmentation_policy_candidates, or plan_policy_iteration before rendering and reviewing contact sheets. Generated fixtures and packets are not P0 evidence.
Host Workflow
After connecting an MCP host:
Read
albumentationsx://examples/client-smoke.Call
run_host_smoke_check.Continue only when
preview_readyis true.For a real folder, call
build_review_packetto sample local images and get one first-preview handoff.Replace or reuse the paths in
preview_request_template.request.Call
validate_preview_requestbefore rendering user-provided paths.Call
render_preview_batchon a small local image set.Inspect the contact sheet, then use
plan_preview_reviewto choose adjustment, audit, or export.
If preview setup fails, read albumentationsx://diagnostics/guide and call diagnose_environment. Troubleshooting
details and remediation_actions are documented in docs/USAGE.md and docs/INSTALL.md.
Capabilities
Transform search and schema inspection.
Recipe and pipeline recommendation for classification, detection, segmentation, OCR, and balanced workflows.
Pipeline validation and explanation before rendering.
Preview request validation for missing files, outside-root paths, masks, and annotation counts.
Read-only dataset quality inspection before rendering previews.
Read-only dataset onboarding and review packets that build bbox/mask-aware first-preview templates.
Deterministic single-image and batch previews with contact sheets.
Preview comparison with
quality_summaryand suggested feedback tags.Concrete preview feedback, interactive tuning sessions, ranking, dataset scoring, and visual reports.
Agent workflow resources, prompts, smoke checks, diagnostics, and release-safe contract snapshots.
The public MCP surface is kept stable through reviewed contract snapshots. Compatibility rules are in docs/COMPATIBILITY.md.
The guide is published in the official Albumentations MCP docs from AlbumentationsX#289; source.
Documentation
docs/INSTALL.md: PyPI, MCP Registry, Claude Desktop, Claude Code, Cursor, Codex, bounded roots.
docs/FIRST_10_MINUTES.md: shortest path from install to preview, feedback, and export.
docs/HOST_PROOF_SPRINT.md, docs/HOST_PROOF_SPRINT_CHECKLIST.md, docs/HOST_EVIDENCE_SPRINT_BOARD.md, docs/P0_HOST_RUNBOOK.md, docs/P0_HOST_RUN_SESSION.md, docs/P0_HOST_RUN_PREFLIGHT.md, docs/P0_EVIDENCE_RECORDER.md, docs/P0_EVIDENCE_IMPORT_GUIDE.md, docs/P0_EVIDENCE_REGENERATION_PACK.md, docs/P0_HOST_UNBLOCK_PACK.md, docs/P0_HOST_EVIDENCE_RECOVERY.md, docs/HOST_EVIDENCE_RUNNER.md, docs/CODEX_CANCELLATION_TRIAGE.md, docs/CLAUDE_CODE_SETUP_PATH.md, docs/HOST_SETUP_PROBE.md, docs/HOST_EVIDENCE_CAPTURE_KIT.md, docs/RC_HOST_EVIDENCE_OPS.md, docs/P0_HOST_EXECUTION_SPRINT.md, docs/P0_HOST_EVIDENCE_LEDGER.md, docs/P0_BLOCKER_TRIAGE.md, docs/REAL_HOST_EVIDENCE_EXECUTION.md, docs/REAL_HOST_EVIDENCE_COMMAND_CENTER.md, docs/HOST_UX_HARDENING_LOOP.md, and docs/HOST_FAILURE_COOKBOOK.md: real host replay runbooks, focused P0 operator packets, setup probes, evidence ledgers, blocker triage, execution packs, hardening loop, and failure triage.
docs/USAGE.md: end-to-end MCP host workflow and tool details.
docs/RECIPES.md: task-specific host recipes.
docs/ADOPTION.md, docs/BETA_WORKFLOW_PACK.md, docs/BETA_CAMPAIGN_PACK.md, docs/BETA_CAMPAIGN_EXECUTION.md, docs/BETA_FEEDBACK_INTAKE.md, docs/BETA_FEEDBACK_RECORDS.json, docs/BETA_FEEDBACK_STATUS.md, docs/BETA_VALIDATION_INTAKE.md, docs/BETA_VALIDATION_RECORDING_PACK.md, docs/BETA_ATTEMPT_CAPTURE_KIT.md, docs/BETA_VALIDATION_RECORDS.json, docs/BETA_VALIDATION_STATUS.md, docs/BETA_VALIDATION_LOOP.md, docs/BETA_TO_BACKLOG_TRIAGE.md, and docs/BETA_VALIDATION_SPRINT.md: short trial, beta CV workflows, campaign and execution packs, privacy-safe intake, beta records, validation status, host setup, workflow examples, and outreach copy.
docs/ADOPTION_PACKET.md and docs/LAUNCH_KIT.md: generated public launch copy, distribution checklist, demo assets, and feedback intake.
docs/COMMUNITY_FEEDBACK.md, docs/PRODUCT_DEPTH_BACKLOG.md, docs/PRODUCT_DEPTH_GATE.md, docs/PRODUCT_DEPTH_SELECTION.md, docs/POLICY_ASSISTANT_PLAN.md, docs/POLICY_ASSISTANT_MVP_CONTRACT.md, docs/PRODUCT_ITERATION_GOVERNOR.md, docs/GOVERNED_100_ITERATION_REPORT.md, docs/HOST_ONBOARDING_DEPTH_PLAN.md, docs/REVIEW_AGENT_V3_PLAN.md, and docs/DATASET_QUALITY_DEPTH_PLAN.md: privacy-safe intake, post-P0 product-depth candidates, product-depth gate, selected first P1 candidate, policy assistant planning, iteration governance, host-onboarding depth plan, review-agent planning, and dataset-quality planning.
docs/NETWORK_GROWTH.md, docs/NETWORK_GROWTH_TRACKER.md, docs/PUBLIC_ADOPTION_LOOP.md, and docs/ADOPTION_TRIAGE_REPORT.md: directory status, registry follow-up, and adoption loop.
docs/UPSTREAM_PR_PACKET.md: upstream source for AlbumentationsX#289.
examples/distortion_review_workflow.md: rejected noisy preview review loop.
docs/DEMO.md: generated preview comparison demo.
docs/HOST_ACCEPTANCE.md, docs/HOST_MATRIX.md, docs/HOST_UX_PACKETS.md, and docs/HOST_ACCEPTANCE_EVIDENCE.md: MCP host acceptance status.
docs/V1_READINESS.md: v1 compatibility and release audit.
docs/V1_LAUNCH_REPORT.md, docs/V1_DECISION_REPORT.md, docs/V1_EVIDENCE_OPERATOR_PACKET.md, docs/V1_GROWTH_CUTOVER_REPORT.md, docs/V1_STABILIZATION_PLAN.md, docs/V1_RC_READINESS.md, docs/V1_RC_RELEASE_PACKET.md, docs/V1_RC_CUTOVER_CHECKLIST.md, docs/V1_RC_AUTOMATION_PACK.md, docs/V1_RC_REHEARSAL_PLAN.md, docs/V1_RC_CUTOVER_GATE.md, docs/RC_CUTOVER_RECOVERY_PLAN.md, docs/RC_DRY_RUN.md, docs/RC_EVIDENCE_REOPEN_FLOW.md, docs/RC_GATE_REOPEN_PACKET.md, docs/RC_RELEASE_DECISION_REPORT.md, docs/EVIDENCE_FIRST_CYCLE_REPORT.md, and docs/P0_EVIDENCE_STATUS.md: current v1 blockers, go/no-go decision, evidence packet, growth cutover, stabilization, RC gates, rehearsal, recovery, dry run, and P0 evidence status.
docs/RELEASE.md, docs/DISTRIBUTION_READINESS_PACK.md, and docs/DISTRIBUTION_ROLLOUT_PACKET.md: PyPI, GitHub Release, MCP Registry, distribution readiness, and public rollout process.
CHANGELOG.md: release history.
server.json: public MCP Registry metadata.
evals/golden_mcp_scenarios.yaml: executable MCP scenarios. Operational scripts live in scripts.
Verification
Core gate: uv run pytest, uv run ruff check ., uv run ruff format --check ., uv run ty check,
uv run python scripts/check_release_readiness.py, and uv build. Release-specific gates are in docs/RELEASE.md; tracked guards include scripts/check_host_acceptance_report.py, scripts/check_contract_snapshots.py, and scripts/check_directory_presence.py.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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