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The Pragmatiks API exposes an MCP (Model Context Protocol) server that allows AI assistants to interact with your resources, providers, and operations directly.

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Why Use MCP?

MCP enables AI tools like Claude, Cursor, and GitHub Copilot to:
  • Manage resources - List, create, update, and delete resources through natural language
  • Monitor status - Check resource lifecycle states and troubleshoot issues
  • Deploy providers - Push code, monitor builds, and manage deployments
  • Handle operations - Retry failed events and manage dead letter queues
Instead of switching between the CLI and your AI assistant, you can stay in your workflow and let the AI handle Pragmatiks operations directly.

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Available Tools

The MCP server exposes the following tools:

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Authentication

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Resources

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Providers

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Operations

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Authentication

The MCP server requires authentication via your Pragmatiks account. When you configure the MCP server in your AI tool, you’ll need to provide your authentication token.
All MCP operations are automatically scoped to your organization. Resources and providers from other organizations are not accessible.

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Endpoint

The MCP server is available at:

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Next Steps

Configuration Guide

Set up the MCP server in your AI tool.