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lanliwz
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MCP Server Expert

Register async tools and configure Stdio or HTTP transports for the Onto2AI MCP Server.

2|Updated Mar 17, 2024
Search Tags:#logging#mcp#async#server#neo4j#tool-registration#tool-config
One-click install
npx skills add https://github.com/lanliwz/neo4j-onto2ai-toolset --skill mcp-server-expert
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: MCP Server Expert
Source: https://github.com/lanliwz/neo4j-onto2ai-toolset/tree/main/skills/onto2ai_mcp_expert
Command: npx skills add https://github.com/lanliwz/neo4j-onto2ai-toolset --skill mcp-server-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

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

Frequently Asked Questions about MCP Server Expert

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

FAQPage Schema
How do I add a new tool to an MCP server using async registration?▼

MCP server transports include Stdio and HTTP (SSE) for tool integration. Stdio is the default mode used for local agents, while HTTP provides remote access capabilities depending on your deployment scenario.

How do I start the MCP server in stdio mode for local development?▼

MCP server tool registration requires async functions annotated with @mcp.tool() and clear docstrings for argument descriptions. This prerequisite ensures tools integrate properly with the structured config and logger for robust server operation.

Can I configure the MCP server to use HTTP SSE transport for remote access?▼

Neo4j MCP server integration enables tool registration and server mode configuration within the Onto2AI framework. You get a maintained server instance supporting structured logging, async tools, and data normalization for robust operation.

How do I handle errors and return structured JSON from MCP server tools?▼

Neo4j graph database integration complements the MCP server by providing the backend data layer for the Onto2AI toolset. You achieve persistent storage and querying capabilities that work in synergy with the registered async tools.

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