Neo4j MCP Server
A TypeScript MCP server for executing Cypher queries and exploring Neo4j graph databases, enabling natural language database interaction through Claude.
README
🔍⁉️ Neo4j MCP Server (TypeScript)
🌟 Overview
A Model Context Protocol (MCP) server implementation in TypeScript that provides database interaction and allows graph exploration capabilities through Neo4j. This server enables running Cypher graph queries, analyzing complex domain data, and automatically generating business insights that can be enhanced with Claude's analysis.
This is a TypeScript port of the original Python mcp-neo4j-cypher server.
🧩 Components
🛠️ Tools
The server offers these core tools:
📊 Query Tools
-
read_neo4j_cypher- Execute Cypher read queries to read data from the database
- Input:
query(string): The Cypher query to executeparams(object, optional): Parameters to pass to the Cypher query
- Returns: Query results as JSON serialized array of objects
-
write_neo4j_cypher- Execute updating Cypher queries
- Input:
query(string): The Cypher update queryparams(object, optional): Parameters to pass to the Cypher query
- Returns: A JSON serialized result summary counter with update statistics
🕸️ Schema Tools
get_neo4j_schema- Get a list of all node types in the graph database, their attributes with name, type and relationships to other node types
- No input required
- Returns: JSON serialized list of node labels with two dictionaries: one for attributes and one for relationships
🏷️ Namespacing
The server supports namespacing to allow multiple Neo4j MCP servers to be used simultaneously. When a namespace is provided, all tool names are prefixed with the namespace followed by a hyphen (e.g., mydb-read_neo4j_cypher).
📦 Installation
- Clone this repository or copy the source files to your project
- Install dependencies:
cd neo4j-mcp-typesccript yarn install - Build the TypeScript code:
yarn build
🧪 Testing the Connection
Before running the server, you can test your Neo4j connection:
yarn test:connection
This will verify that the server can connect to your Neo4j instance.
🚀 Usage
🖥️ Command Line
You can run the server directly from the command line:
# Using stdio transport (default)
node dist/index.js --db-url bolt://localhost:7687 --username neo4j --password password
# Using HTTP transport
node dist/index.js --transport http --server-host 0.0.0.0 --server-port 8000
# Using SSE transport
node dist/index.js --transport sse --server-host 0.0.0.0 --server-port 8000
🔧 Environment Variables
You can also configure the server using environment variables:
# Neo4j Connection
export NEO4J_URI=bolt://localhost:7687
export NEO4J_USERNAME=neo4j
export NEO4J_PASSWORD=password
export NEO4J_DATABASE=neo4j
# MCP Server Configuration
export NEO4J_TRANSPORT=stdio
export NEO4J_NAMESPACE=mydb
export NEO4J_MCP_SERVER_HOST=127.0.0.1
export NEO4J_MCP_SERVER_PORT=8000
export NEO4J_MCP_SERVER_PATH=/mcp/
# Then run
node dist/index.js
💻 Claude Desktop Integration
Add the server to your claude_desktop_config.json:
{
"mcpServers": {
"neo4j-typescript": {
"command": "node",
"args": ["/path/to/neo4j-mcp-typescript/dist/index.js"],
"env": {
"NEO4J_URI": "bolt://localhost:7687",
"NEO4J_USERNAME": "neo4j",
"NEO4J_PASSWORD": "your-password",
"NEO4J_DATABASE": "neo4j"
}
}
}
}
🐳 Docker Support
You can also run this in a Docker container. Create a Dockerfile:
FROM node:18-alpine
WORKDIR /app
# Copy package files
COPY package*.json ./
RUN npm install
# Copy source files
COPY . .
# Build TypeScript
RUN npm run build
# Set environment variables
ENV NEO4J_URI="bolt://host.docker.internal:7687"
ENV NEO4J_USERNAME="neo4j"
ENV NEO4J_PASSWORD="password"
ENV NEO4J_DATABASE="neo4j"
ENV NEO4J_TRANSPORT="http"
ENV NEO4J_MCP_SERVER_HOST="0.0.0.0"
ENV NEO4J_MCP_SERVER_PORT="8000"
ENV NEO4J_MCP_SERVER_PATH="/api/mcp/"
EXPOSE 8000
CMD ["node", "dist/index.js"]
🚀 Transport Modes
The server supports different transport protocols:
- STDIO (default for local development): Standard input/output for Claude Desktop and local tools
- HTTP: RESTful HTTP for web deployments and microservices
- SSE: Server-Sent Events for web-based deployments
🔧 Development
- Clone the repository
- Install dependencies:
yarn install - Run in development mode:
yarn dev - Build for production:
yarn build - Run tests:
yarn test(if tests are added)
📄 License
This MCP server is licensed under the MIT License.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。