AI-Automation

The AI Automation MCP server enables you to visually create and host MCP endpoints using AgentPass AI, with integration points for VS Code Copilot and Claude. It orchestrates tool calls, model invocations, and workflow steps to automate developer-oriented tasks, knowledge work, and workspace automation. Users can define endpoints that run specific MCP actions, connect to external services (e.g., Copilot or Claude toolsets), and expose a programmable interface for downstream automation and chat-based workflows. The included tooling supports building agent-driven workflows, triggering model executions, and managing context for real-time tool execution inside developer environments.

To use the server once it is running, connect to it via its MCP endpoint and invoke the available actions or workflows defined in AgentPass AI. You can tailor endpoints to your needs—for example, orchestrating a coding assistant flow that queries Copilot for code suggestions, calls Claude for natural language reasoning, and then returns structured results to your team chat or IDE integration. The setup emphasizes no/low-code workflow import through AgentPass AI and visual editors, enabling you to rapidly deploy automated developer utilities, tool orchestration, and workflow automation across your stack.

Prerequisites

• Node.js (LTS) installed on your machine
• npm or pnpm for package management
• Access to AgentPass AI (API key) and any required feature flags
• Git for cloning repository

Installation steps

1. Clone the repository:

git clone https://github.com/your-org/ai-automation-workspace.git
cd ai-automation-workspace

2. Install dependencies:

npm install

3. Configure environment variables Create a .env file in the root with required keys, e.g.:

AGENTPASS_AI_API_KEY=your-agentpass-ai-key
VS_CODE_COPILOT_INTEGRATION=true
CLAUDE_INTEGRATION=true

4. Start the MCP server

npm run start

Or if you run directly via node:

node server.js

5. Verify the server is running by hitting the configured MCP endpoint (e.g., http://localhost:3000/mcp/ai-automation).

Notes

• Ensure network access to AgentPass AI services and any integrated tools (Copilot, Claude).
• If you modify endpoints, reload or restart the server to apply changes.

Tips and common issues:

• Environment variables are required for AgentPass AI and integrations; ensure they are correctly set in .env or your deployment platform.
• If endpoints fail to load, check AgentPass AI credentials and network connectivity to external tools.
• When integrating with Copilot or Claude, verify compatibility of tool versions and any required feature flags.
• Use the visual workflow editors in AgentPass AI to rapidly prototype endpoints before converting them into MCP actions.
• For local development, run the server with verbose logging to diagnose tool invocation issues.