Integration & MCP for BigML
Integrate and automate your BigML workflows across 2,580 tools. Take full control—use your favorite LLM to orchestrate BigML and make your data and tools truly work for you, not the other way around.
IT and Development
BigML Integration Revolutionizes Data-Driven Decision Making
Integrating BigML via MCP streamlines operations by consolidating predictive model data into a single platform, eliminating data silos and reducing manual processes. This empowers teams across industries to automate workflows and make data-driven decisions more efficiently. As a result, businesses are better prepared for AI-readiness, ensuring that AI-powered insights are seamlessly accessible and actionable organization-wide.
Supported MCP tools
Connect insights. Empower action. With MCP, BigML becomes the engine for truly collaborative work.
Can play scenarios
Can list scenarios
So you can execute these actions with BigML MCP:
Watch resources
Triggers when a new resource is created.
Update a topic distribution
Updates an existing topic distribution.
Update a prediction
Updates an existing prediction.
Update a centroid
Updates an existing centroid.
Update an anomaly score
Updates an existing anomaly score.
Get a resource
Gets a resource.
Get a topic distribution
Gets a specified topic distribution.
Get a prediction
Gets a specified prediction.
Get a centroid
Gets a specified centroid.
Get an anomaly score
Gets a specified anomaly score.
Delete a topic distribution
Deletes a specified topic distribution.
Delete a prediction
Deletes a specified prediction.
Delete a centroid
Deletes a specified centroid.
Delete an anomaly score
Deletes a specified anomaly score.
Create a topic distribution
Calculates all topic probabilities for a given document.
Create a prediction
Creates a prediction using a model, logistic regression, deepnets etc.
Create a centroid
Finds out the closest cluster to your data instance.
Create an anomaly score
Calculates the anomaly score of a data instance.
Make an api call
Performs an arbitrary authorized API call.
List anomaly scores
Lists all anomaly scores.
List centroids
Lists all centroids.
List predictions
Lists all predictions.
List topic distributions
Lists all topic distributions.
How to use MCP with BigML
Create scenario with on-demand trigger
Generate your MCP API Key
Insert MCP API Key in your favourite LLM in instructions
Boost.space MCP integration with BigML offers numerous benefits, particularly in enhancing workflows, automating processes, and leveraging AI for impactful decision-making. By centralizing BigML's machine learning data, businesses can create unique and efficient workflows that streamline the management of predictive models. Automated actions ensure that AI-powered insights from BigML are seamlessly integrated into operational processes, reducing the need for manual intervention and improving accuracy.One standout feature is the ability to automate the deployment of predictive models, ensuring that the most current and effective models are always in use. Additionally, this integration provides tools for real-time data synchronization, enabling continuous updates of machine learning insights for improved decision-making capabilities. The AI-powered impact is further amplified through automated reporting and alert systems that keep teams informed and ready to act on new data insights instantaneously. Ultimately, this integration empowers businesses to be more agile and data-driven, leading to smarter strategic moves.
