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MCP Connector

Expose the Antigravity Skills Library as MCP tools for external agents.

27|8|Updated Jan 16, 2026
Search Tags:#automation#integration#MCP#server#Python#connector#skills-library
One-click install
npx skills add https://github.com/Sounder25/Google-Antigravity-Skills-Library --skill mcp-connector
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: MCP Connector
Source: https://github.com/Sounder25/Google-Antigravity-Skills-Library/tree/main/16_mcp_connector
Command: npx skills add https://github.com/Sounder25/Google-Antigravity-Skills-Library --skill mcp-connector

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill exposes the Antigravity Skills Library to MCP-compliant agents, enabling external systems to invoke library tools as native MCP tools.

Core Features & Use Cases

  • MCP server exposure: list skills, run a skill by id, and read a skill's specification.
  • Integrator-friendly: enables MCP clients like Claude Desktop to plug in the library for automated workflows.
  • Use Case: Connect a client to call a skill by id and retrieve artifacts or results for downstream processing.

Quick Start

Start the MCP server by running python server.py from this directory. Then configure your MCP client with the provided JSON configuration to point to the server and use list_skills() or run_skill(id, args) to interact with the library.

Frequently Asked Questions about MCP Connector

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

FAQPage Schema
How do I expose a Python skills library to an MCP server?▼

To expose a Python skills library to an MCP server, run the server script and configure your MCP client to invoke library tools as native MCP tools for automated execution and artifact retrieval.

Can I connect Claude Desktop to a Python library using MCP?▼

Yes, you can connect Claude Desktop to a Python library using MCP by configuring the client with the provided JSON configuration to point to the running server and call list_skills() or run_skill(id, args).

What do I need to run an MCP server for automation scripts?▼

To run an MCP server for automation scripts, you need Python 3.10+, the mcp package, and access to the server script to successfully list, run, and read skill specifications.

How does an MCP connector handle external agent integration?▼

An MCP connector handles external agent integration by providing a server interface that enables external systems to invoke library tools as native MCP tools, allowing scripted execution and downstream artifact processing.

Does the MCP server integration support retrieving artifacts after running a skill?▼

Yes, the MCP server integration supports retrieving artifacts after running a skill by allowing external agents to call a skill by id and retrieve the results or artifacts for downstream processing.

What is the best way to list and run skills from an external agent?▼

The best way to list and run skills from an external agent is to start the MCP server and use the list_skills() and run_skill(id, args) functions to interact with the library.

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