Revvity Signals AI MCP Connector

The Model Context Protocol (MCP) is another way you can access Signals AI capabilities from outside the Signals user interface. It allows access to the artificial intelligence behind Signals AI Explorer through third-party AI assistants such as Claude.AI

Getting Started

Follow these steps to connect Signals AI to Claude.AI using the Model Context Protocol (MCP).

Adding the Connector to Claude.AI

  1. Login at Claude.AI website
  2. Click the Customize icon on the left navigation bar
  3. Click on the Connectors section
  4. Click the Plus Sign (+) near the top of the Connectors panel
  5. Click Browse Connectors from the context menu
  6. Search for Revvity Signals AI connector
  7. Click the Connect Button

  8. Enter the address for your Signals AI MCP server

    Example MCP address: https://[YourTenantName].signalsresearch.revvitycloud.com/signals-ai-connector/mcp

    Note: You must replace [YourTenantName] with the name of your Signals tenant.

  9. Click Connect
  10. You will be redirected to your Signals login page
  11. Authenticate with Signals and allow Claude.AI to access your content.

Verifying the Connection

To verify that the connector is working properly:

  1. Start a new conversation in Claude.AI
  2. Ask Claude: "Can you access my Signals AI data?" or "Show me recent experiments from Signals"
  3. If configured correctly, Claude will confirm it can access your Signals data and may show you recent information

You're now ready to use Claude.AI to interact with your Signals AI data!

Prerequisites

  • A Claude.AI account (Pro or Team plan required for MCP connector support)
  • An active Revvity Signals account with a Signals One subscription
  • Your Signals tenant administrator must have enabled the Signals AI Explorer feature of Signals One

Examples

Here are some example prompts you can use with the Signals AI MCP Connector in Claude.AI:

Example 1: Understanding Experiment Context

Prompt: What's the overall scientific story behind GLP1R-KewitschL-3184 Signals Notebook experiment
Output: Example output showing Claude explaining the scientific story behind a GLP1R experiment - part 1 Example output showing Claude explaining the scientific story behind a GLP1R experiment - part 2

Example 2: Checking Pending Tasks and Reviews

Prompt: Do I have any pending tasks or items awaiting my review
Output: Example output showing pending tasks and items awaiting review

Example 3: Statistical Analysis of Data

Prompt: Analyze the distribution of purity values in Signals Notebook and provide key statistical measures
Output: Example output showing statistical analysis of purity values distribution

Additional Resources