add-mcp-tool

Expose @task methods as MCP tools via the /mcp endpoint.

26|16|Updated May 23, 2024
One-click install
npx skills add https://github.com/atlanhq/application-sdk --skill add-mcp-tool-atlanhq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: add-mcp-tool
Source: https://github.com/atlanhq/application-sdk/tree/main/.claude/skills/add-mcp-tool
Command: npx skills add https://github.com/atlanhq/application-sdk --skill add-mcp-tool-atlanhq

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables developers to expose existing @task methods as MCP tools, allowing AI assistants to discover and execute these tasks directly.

Core Features & Use Cases

  • Task Exposure: Converts selected @task methods into MCP tools with descriptive metadata.
  • AI Integration: Facilitates interaction between AI clients and backend tasks through the /mcp endpoint.
  • Quick Start: Use the add-mcp-tool skill to register your connector's methods with MCP, enabling AI assistants to invoke them effortlessly.

Quick Start

Use the add-mcp-tool skill to expose your task methods to AI assistants by configuring the decorator and environment variables as instructed.

Frequently Asked Questions about add-mcp-tool

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I expose application backend tasks as MCP tools for AI integration?

You can expose application backend tasks as MCP tools by annotating your methods with @mcp_tool and enabling MCP in environment configurations, allowing AI assistants to discover and execute tasks directly without custom exposure code.

What is the process for making @task methods accessible to AI assistants?

Making @task methods accessible to AI assistants involves registering them as MCP tools via the add-mcp-tool skill, which converts selected methods into MCP tools with descriptive metadata exposed through the /mcp endpoint.

Can I integrate AI assistants with enterprise workflows without writing custom code for task exposure?

Yes, you can integrate AI assistants with enterprise workflows without custom exposure code by using the @mcp_tool decorator and environment configurations to expose tasks, though developers must still annotate the target methods.

How does the MCP endpoint connect AI clients to backend tasks?

The /mcp endpoint connects AI clients to backend tasks by exposing @mcp_tool annotated methods as MCP tools with descriptive metadata, facilitating direct interaction and execution between the AI client and the application backend.

Do I need to configure environment variables to enable MCP for task exposure?

Yes, you need to enable MCP in environment configurations to activate task exposure, which works in conjunction with the @mcp_tool method decorator to make backend tasks accessible to AI assistants.

When should I use MCP tool exposure for automation in my workflow?

You should use MCP tool exposure for automation when you need AI assistants to directly discover and execute backend tasks in enterprise workflows, simplifying integration by converting @task methods into accessible MCP tools.