Bigml MCP integration
Inventories models, clusters, and anomaly detectors, reads their evaluations and predictions, and sets up projects and external data connectors.
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.
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 EvaluationsReview 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 ForecastsSurface 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 ModelsOrganise 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.
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.
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.
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
What can you do in Bigml without me setting anything up?
These, right away:
- Create external connector
- Get configuration
- Delete project
Great, let's start with the first one.
FAQ
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.
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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.