"scikit-learn" matching MCP tools:

• mne_check_statusA

  MNE-MCPB

  Verify MNE-Python environment readiness by checking versions of MNE, scikit-learn, numpy, scipy, matplotlib, and runtime directories before starting analysis.

  MIT

• sklearn_generate_pipelineC

  Plugin HubC

  Generate a scikit-learn machine learning pipeline in a project directory. Specify the directory to scaffold a complete ML pipeline structure for immediate use.

  MIT

• project_listA

  Statuser MCP ServerA

  List account projects, oldest first, to learn which project is the default for writes and account-level actions.

  MIT

• memory_calibrateA

  aziel-runtimeA

  Calibrate a stored memory after evidence by computing deterministic triad score and Bayesian posterior, then writing a forward-only LEARN stamp. Preview with dry_run or write with confirm.

  Apache 2.0

• get_learn_hub_healthA

  AlgoChains MCP ServerB

  Verify AlgoChains Learn Hub is publicly accessible without login by checking HTTP status, RSS MIME type, and subdomain redirect. Read-only health check confirms the learning portal is live.

  MIT

• describe_report_objectsA

  SAS MCP ServerA

  Need to know what a SAS Visual Analytics report can contain? Look up report operations and object contracts from a bundled catalog to learn data roles, examples, and build reports without guesswork.

  Apache 2.0

• agent_error_learningA

  JauMemory MCP ServerA

  Report agent errors, record solutions, and track failed attempts with a 2-strike protocol to help agents learn from mistakes and avoid recurrence.

  MIT

• wcps_query_crash_courseA

  Rasdaman MCP ServerA

  Learn the essentials of writing WCPS queries: basic syntax, common operations, and best practices for querying rasdaman datacubes.

  MIT

• semantic_templatesA

  dVeracity Semantic MCP serverA

  Discover free query templates to learn what questions a knowledge graph can answer before spending credits on semantic queries.

  Apache 2.0

• type_explainA

  lachesis-mcpB

  Explain a type's fields and its role in methods (construct, mutate, consume, destroy) from graph facts. Learn a struct's shape and handling before reading call sites.

  AGPL 3.0

• get_table_schemaA

  Elekto MCP for SQL ServerA

  Retrieve the full structure of a table or view: columns, types, constraints, and indexes, to learn exact column names and types before querying. For view SQL text, use get_view_definition.

  GPL 3.0

• vitna_helpA

  @costrinity/vitna-compliance-mcpA

  Call first after connecting to learn safety and oversight checks: check risky actions before running, interpret deny or hold decisions, and understand trial vs claimed mode with local audit.

  MIT

• memory_observeA

  aziel-runtimeA

  Append a new fact to the ChainLock learn chain before resolving or calibrating outcomes. Records observations additively; requires confirmation or a dry-run preview.

  Apache 2.0

• lucille_rulesA

  Lucille MCP ServerA

  Get the game rules, mechanics, and strategy tips to learn how to play Lucille Protocol.

  MIT

• molpha_get_capabilitiesA

  Molpha MCPA

  Get the current Molpha verification surface to learn where a signed result can be verified. Includes registry version, node set, gateway endpoints, supported chains, and spend caps.

  MIT

• describe_validation_rulesA

  commit-check-mcpA

  Return the merged validation rules for a repository, including enabled checks and patterns, to learn expected commit message and branch name formats or diagnose validation failures.

  MIT

• get_check_type_samplesA

  SolidPingA

  Get ready-made sample configurations for a check type to learn the correct config shape. Clone and modify complete valid sample configs instead of guessing field names.

  AGPL 3.0

• read_form_fieldsA

  pdfnative-mcpA

  Enumerate a PDF's AcroForm fields including names, types, values, flags, options, and widget placements. Use before filling forms to learn field names; supports encrypted PDFs.

  MIT

• blueprintA

  MCP Document ProcessorA

  Manage structural blueprints extracted from real documents. Learn from DOCX or PDF, list stored blueprints, delete by name, and use to validate paragraph structure when creating documents.

  MIT

• create_experimentA

  AIOProductOSA

  Create a product experiment to track Build-Measure-Learn stages, including title, metric, target, and hypothesis. Manage experiments from idea to learning.

  MIT

• update_experimentA

  AIOProductOSA

  Update a product experiment's Build-Measure-Learn stage, outcome, and next decision. Use experiment id from list_experiments; record validated/invalidated and pivot/persevere.

  MIT