Expose TravisCI build operations to AI agents with MCP server
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Complete MCP server exposing all TravisCI Tool operations to AI agents. Zero configuration needed - all 5 operations pre-built.
⚡ Quick Setup
- Import this workflow into your n8n instance
- Activate the workflow to start your MCP server
- Copy the webhook URL from the MCP trigger node
- Connect AI agents using the MCP URL
🔧 How it Works
• MCP Trigger: Serves as your server endpoint for AI agent requests
• Tool Nodes: Pre-configured for every TravisCI Tool operation
• AI Expressions: Automatically populate parameters via $fromAI() placeholders
• Native Integration: Uses official n8n TravisCI Tool tool with full error handling
📋 Available Operations (5 total)
Every possible TravisCI Tool operation is included:
🔧 Build (5 operations)
• Cancel a build • Get a build • Get many builds • Restart a build • Trigger a build
🤖 AI Integration
Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options
Response Format: Native TravisCI Tool API responses with full data structure
Error Handling: Built-in n8n error management and retry logic
💡 Usage Examples
Connect this MCP server to any AI agent or workflow:
• Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints
✨ Benefits
• Complete Coverage: Every TravisCI Tool operation available
• Zero Setup: No parameter mapping or configuration needed
• AI-Ready: Built-in $fromAI() expressions for all parameters
• Production Ready: Native n8n error handling and logging
• Extensible: Easily modify or add custom logic
> 🆓 Free for community use! Ready to deploy in under 2 minutes.
Expose Travis CI Build Operations to AI Agents with MCP Server
This n8n workflow simplifies the process of exposing Travis CI build operations to AI agents using the Model Context Protocol (MCP) Server. It acts as a trigger, allowing AI agents to interact with and potentially manage Travis CI builds through a standardized protocol.
What it does
- Listens for AI Agent Requests: The workflow starts by listening for incoming requests from AI agents via the MCP Server. These requests are likely related to querying or initiating actions on Travis CI builds.
Prerequisites/Requirements
- n8n Instance: A running instance of n8n.
- n8n-nodes-langchain package: Ensure the
@n8n/n8n-nodes-langchainpackage is installed in your n8n instance, as it provides theMCP Server Triggernode. - Travis CI Account: An active Travis CI account (though direct integration logic with Travis CI is not present in this specific JSON, it's the implied target).
- AI Agent: An AI agent configured to communicate using the Model Context Protocol.
Setup/Usage
- Import the Workflow: Import the provided JSON into your n8n instance.
- Activate the Workflow: Ensure the workflow is activated to start listening for incoming requests.
- Configure AI Agents: Configure your AI agents to send requests to the MCP Server endpoint exposed by this n8n workflow. The specific endpoint details will be available in the MCP Server Trigger node configuration once the workflow is active.
- Extend the Workflow (Optional): This workflow currently only acts as a trigger. To fully "expose Travis CI build operations," you would need to:
- Add subsequent nodes to interact with the Travis CI API (e.g., using an HTTP Request node or a dedicated Travis CI node if available).
- Implement logic to parse AI agent requests, perform the requested Travis CI actions, and return appropriate responses via the MCP Server.
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Our team at Digital Biz Tech can tailor it precisely to your use case from automation logic to AI-powered enhancements. Contact: shilpa.raju@digitalbiz.tech For more such offerings, visit us: https://www.digitalbiz.tech ---
By DIGITAL BIZ TECH