# Query Neo4j graph data from agent workflows through MCP

> Connect MCP-compatible agents to Neo4j so they can inspect graph schemas, run Cypher queries, manage graph memory, and operate Aura instances from chat.

- Skill: `agentskillexchange/query-neo4j-graph-data-from-agent-workflows-through-mcp` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/query-neo4j-graph-data-from-agent-workflows-through-mcp`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/query-neo4j-graph-data-from-agent-workflows-through-mcp/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/query-neo4j-graph-data-from-agent-workflows-through-mcp

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# Query Neo4j graph data from agent workflows through MCP

Connect MCP-compatible agents to Neo4j so they can inspect graph schemas, run Cypher queries, manage graph memory, and operate Aura instances from chat.

## Prerequisites

Neo4j database or Aura account, APOC for schema inspection, Python package or uvx, MCP-compatible client

## Installation

Requirements and caveats from upstream:
- **Requirement**: Requires the [APOC plugin](https://neo4j.com/docs/apoc/current/installation/) to be installed and enabled on the Neo4j instance for schema inspection.

Basic usage or getting-started notes:
- To run a server in HTTP mode, use the --transport http flag:

- Source: https://github.com/neo4j-contrib/mcp-neo4j
- Extracted from upstream docs: https://raw.githubusercontent.com/neo4j-contrib/mcp-neo4j/HEAD/README.md

## Documentation

- https://neo4j.com/developer/genai-ecosystem/model-context-protocol-mcp/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/query-neo4j-graph-data-from-agent-workflows-through-mcp/)