Bigml

Bigml MCP integration

Inventories models, clusters, and anomaly detectors, reads their evaluations and predictions, and sets up projects and external data connectors.

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45actions available

Three actions you can hand over today

Every action runs live through MCP. Nothing to build, nothing to maintain.

  • Create project

    Lyro sets up a new machine learning project in BigML to organize and train models for your customer service use case. This creates a workspace for predictive insights.

  • List batch projections

    Lyro retrieves results from batch prediction runs in BigML, showing which customer segments or behaviors the model identified. This surfaces actionable ML insights.

  • Delete project

    Lyro removes completed or obsolete machine learning projects from BigML to keep your workspace clean and reduce costs. This prevents clutter in your ML infrastructure.

See all 45 actions

How businesses use Bigml + Lyro

Each card is one request a support team gets, and the Bigml actions Lyro runs to close it.

  • Take stock of the supervised models in an account

    Lyro lists the models, ensembles, deepnets, and fusions an account holds and pulls the evaluations recorded against them, so a question about which model scored best is answered from BigML's own results.

    List ModelsList EnsemblesList Evaluations

  • Review what has been predicted and when

    Lyro reads single predictions, the batch jobs behind bulk scoring, and time series forecasts, so a question about whether a scoring run happened has an answer without opening the dashboard.

    List PredictionsList Batch PredictionsList Forecasts

  • Surface the unsupervised work sitting in the account

    Lyro lists clusters, anomaly detectors, topic models, associations, and PCAs, so segmentation and outlier work that was built once and forgotten resurfaces before someone rebuilds it.

    List ClustersList Anomaly DetectorsList Topic Models

  • Organise resources and open a new data route

    Lyro creates the project a body of work belongs to, updates the source behind a dataset, and registers an external connector so BigML can reach a database it could not before.

    Create ProjectUpdate SourceCreate External Connector

How it works

Get started in 3 steps

Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Lyro reads the Bigml actions it has and picks the ones a request needs.

  1. 01

    Connect Bigml

    Authorize the Bigml account your team already uses — one consent screen, no API keys, no mapping tables. Lyro can only do what you granted that account, and you can disconnect it at any time.

  2. 02

    Tell your agent what you need

    Describe the job the way you would hand it to a teammate. Lyro maps it to the Bigml actions that close it and chains as many as the request needs.

  3. 03

    Watch it work

    The agent runs the actions inside the conversation the customer is already in, so nobody copies data between tabs and your team can take over at any point.

    Get started free
Bigml · Lyro

Everything else about Bigml

Setup, permissions, and the limits of what Lyro can do inside Bigml.

  • Not through this toolkit. The action list is built for inspection and organisation - it lists and reads models, ensembles, deepnets, clusters, evaluations, predictions, and forecasts, and its only writes are Create Project, Update Source, Create External Connector, and Delete Project. Training and scoring stay in BigML; the integration reports on what is already there.

Every action available in Bigml

All 45 actions your agent can call on Bigml, straight from the live MCP connection.

  • Create external connector

    Create a new external connector for data sources.

  • Create project

    Create a new project.

  • Delete project

    Delete an existing project.

  • Get configuration

    Retrieves complete details of a BigML configuration by its ID to get stored parameters.

  • Get external connector

    Retrieves complete details of a BigML external connector by its ID.

  • Get project

    Retrieve details of a project by ID.

  • Get source

    Retrieves complete details of a BigML source by its ID.

  • List anomaly detectors

    List anomaly detector resources in your account.

  • List anomaly scores

    List anomaly score resources.

  • List associations

    List association resources.

  • List association sets

    List association set resources in your account.

  • List batch anomaly scores

    List batch anomaly score resources.

  • List batch centroids

    List all batch centroid resources in your account with support for filtering, ordering, and pagination.

  • List batch predictions

    List batch prediction resources.

  • List batch projections

    List batch projection resources with support for filtering, ordering, and pagination.

  • List batch topic distributions

    List batch topic distribution resources.

  • List centroids

    List centroid resources.

  • List clusters

    List cluster resources with support for filtering, ordering, and pagination.

  • List composites

    List composite source resources.

  • List configurations

    List all configuration resources in your account.

  • List correlations

    List correlation resources.

  • List datasets

    List dataset resources.

  • List deepnets

    List deep neural network resources.

  • List ensembles

    List ensemble resources with filtering, ordering, and pagination support.

  • List evaluations

    List evaluation resources.

  • List executions

    List execution resources.

  • List forecasts

    List forecast resources.

  • List fusions

    List fusion resources.

  • List libraries

    List WhizzML library resources.

  • List linear regressions

    List linear regression resources.

The tools Bigml sits next to

Same connection, same setup. Pick the next one your team already uses.

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Ready to connect Bigml?

Authorize the account and your agent has all 45 actions from the first conversation.

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