# Agentic Automl Platform MCP server

Agent View of the PolicyLayer registry record for Agentic Automl Platform: identity, probed posture, risk grade, and all 14 tools classified. HTML page: https://policylayer.com/tools/agentic-automl-platform

## Facts

- Server id: `anantshri1/agentic-automl-platform`
- Homepage: https://github.com/anantshri1/agentic-automl-platform
- Registry record: grade C, identity unverified
- Lifecycle: active
- Rate-limited: no
- Tools: 14
- Tool categories present: Execute, Read, Write
- Tags: agentic automl platform, automation
- Record last modified: 2026-07-08T15:19:22.128Z

## Tools (14)

| Tool | Category | Risk | Record |
| --- | --- | --- | --- |
| `evaluate_ffn` | Execute | High | https://policylayer.com/tools/agentic-automl-platform/evaluate-ffn.md |
| `hyperparameter_search` | Execute | High | https://policylayer.com/tools/agentic-automl-platform/hyperparameter-search.md |
| `train_ffn` | Execute | High | https://policylayer.com/tools/agentic-automl-platform/train-ffn.md |
| `train_lstm` | Execute | High | https://policylayer.com/tools/agentic-automl-platform/train-lstm.md |
| `train_model` | Execute | High | https://policylayer.com/tools/agentic-automl-platform/train-model.md |
| `train_transformer` | Execute | High | https://policylayer.com/tools/agentic-automl-platform/train-transformer.md |
| `my_tool` | Other | Low | https://policylayer.com/tools/agentic-automl-platform/my-tool.md |
| `check_class_balance` | Read | Low | https://policylayer.com/tools/agentic-automl-platform/check-class-balance.md |
| `detect_problem_type` | Read | Low | https://policylayer.com/tools/agentic-automl-platform/detect-problem-type.md |
| `evaluate_model` | Read | Low | https://policylayer.com/tools/agentic-automl-platform/evaluate-model.md |
| `prepare_forecast_dataset` | Read | Low | https://policylayer.com/tools/agentic-automl-platform/prepare-forecast-dataset.md |
| `profile_dataset` | Read | Low | https://policylayer.com/tools/agentic-automl-platform/profile-dataset.md |
| `clean_dataset` | Write | Medium | https://policylayer.com/tools/agentic-automl-platform/clean-dataset.md |
| `reduce_dimensions` | Write | Medium | https://policylayer.com/tools/agentic-automl-platform/reduce-dimensions.md |

## Tool descriptions

- `hyperparameter_search` — Run GridSearchCV for a given model type. Returns best params and CV score.
- `train_ffn` — Train a feedforward neural network on a cleaned tabular CSV.
- `train_lstm` — Train a stacked LSTM for multivariate time series forecasting.
- `train_model` — Train a model on a cleaned dataset. Logs to MLflow. Returns train metrics and run_id.
- `train_transformer` — Train a Transformer encoder for multivariate time series forecasting.
- `check_class_balance` — Check class distribution in a classification dataset. Flags imbalance if any class < 20%.
- `detect_problem_type` — Inspect the target column and return classification or regression.
- `evaluate_model` — Evaluate a trained model on the held-out test split. Logs to existing MLflow run.
- `prepare_forecast_dataset` — Convert a cleaned forecasting CSV into sliding-window arrays for LSTM/Transformer.
- `profile_dataset` — Read an uploaded CSV and return a real statistical profile.
- `clean_dataset` — Clean and preprocess a dataset. Returns path to cleaned CSV and action summary.
- `reduce_dimensions` — Fit PCA on train split, transform full dataset, save reduced CSV.

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## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

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Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=agentic-automl-platform · API: https://policylayer.com/registry/api · Recommended policies for every tool: https://policylayer.com/policies/agentic-automl-platform