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MCP Server Expert

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Maintain and extend the Onto2AI MCP Server.

Software Engineering#logging#mcp#async#server#neo4j#tool-registration#tool-config
Authorlanliwz
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Instructions for maintaining, running, and extending the Onto2AI MCP Server.

Core Features & Use Cases

  • Register new tools using the @mcp.tool() decorator. Every tool must be async and have clear docstrings with argument descriptions.
  • Support two transports: Stdio (default) for local agents and HTTP (SSE) for remote access, with notes on how to run each mode.
  • Provide maintenance and debugging guidance, including how to return structured JSON outputs, handle errors, and normalize identifiers with the to_camel_case() helper.

Quick Start

Start the MCP server in stdio mode by running python neo4j_onto2ai_toolset/onto2ai_mcp.py

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: MCP Server Expert
Download link: https://github.com/lanliwz/neo4j-onto2ai-toolset/archive/main.zip#mcp-server-expert

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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