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.