Mcp Neo4j Cypher

io.github.neo4j-contrib由 GitHub 账号 neo4j-contrib 发布v1.0.0更新于 Oct 24, 2026

A simple Neo4j MCP server that allows you to run Cypher queries against a Neo4j database.

已验证STDIO仅桌面数据库数据与分析

概览

AI 生成的概览

让助手对 Neo4j 图数据库执行 Cypher 读写查询并查看其模式结构。

可以做什么
提供针对 Neo4j 实例执行 Cypher 查询的工具:read_neo4j_cypher 以 JSON 返回查询结果,write_neo4j_cypher 执行更新查询并返回节点与关系变更的摘要,get_neo4j_schema 列出节点标签、属性及关系。读查询有可配置的超时和响应 token 上限;模式检查按标签抽样节点。命名空间功能可让多个 Neo4j 服务器同时运行。
适用场景
适合助手需要探索或查询 Neo4j 图数据库的场景,包括把自然语言问题转成 Cypher 查询的 Text2Cypher 工作流。也适合通过命名空间在同一会话中连接多个 Neo4j 数据库。
运行要求
以本地 Python 包(例如通过 uvx)或 Docker 方式运行。需要一个正在运行的 Neo4j 实例(Aura 或自建),并安装并启用 APOC 插件以支持模式检查。连接信息来自 NEO4J_URI、NEO4J_USERNAME 和 NEO4J_PASSWORD,另有可选的 NEO4J_DATABASE、NEO4J_NAMESPACE、NEO4J_READ_ONLY、NEO4J_READ_TIMEOUT、NEO4J_RESPONSE_TOKEN_LIMIT 和 NEO4J_SCHEMA_SAMPLE_SIZE。
安装前请注意
该服务器持有数据库凭据,包括 NEO4J_PASSWORD,并且可以执行会更改或删除图数据的写查询;可设置 NEO4J_READ_ONLY=true 限制为只读。通过 HTTP 暴露时,允许的主机和来源应保持具体而非通配符,生产环境应使用 HTTPS。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Mcp Neo4j Cypher,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

🔍⁉️ Neo4j MCP Server

mcp-name: io.github.neo4j-contrib/mcp-neo4j-cypher

🌟 Overview

A Model Context Protocol (MCP) server implementation 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 further with an application's analysis tools.

This MCP server facilitates Text2Cypher workflows like the one detailed below.

  • Blue steps are handled by the agent
  • Purple by the Cypher or another MCP server
  • Green by the user

A user question is input to the process and the output is an answer generated by the agent.

[text2cypher-workflow]

📋 Prerequisites

  • Neo4j Database: A running Neo4j instance (Aura or Self-Managed)
  • APOC Plugin: The APOC plugin must be installed and enabled on your Neo4j instance. This is required for the get_neo4j_schema tool to function correctly.

🧩 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 execute
      • params (dictionary, optional): Parameters to pass to the Cypher query
    • Returns: Query results as JSON serialized array of objects
    • Timeout: Read queries are subject to a configurable timeout (default: 30 seconds) to prevent long-running queries from disrupting conversational flow
  • write_neo4j_cypher

    • Execute updating Cypher queries
    • Input:
      • query (string): The Cypher update query
      • params (dictionary, optional): Parameters to pass to the Cypher query
    • Returns: A JSON serialized result summary counter with { nodes_updated: number, relationships_created: number, ... }
    • Availability: May be disabled by supplying --read-only as cli flag or NEO4J_READ_ONLY=true environment variable
🕸️ Schema Tools
  • get_neo4j_schema
    • Get a list of all nodes types in the graph database, their attributes with name, type and relationships to other node types
    • Requirement: Requires the APOC plugin to be installed and enabled.
    • Input:
      • sample_param (integer, optional): Number of nodes to sample for schema analysis. Overrides server default if provided.
    • Returns: JSON serialized list of node labels with two dictionaries: one for attributes and one for relationships
    • Performance: Uses sampling by default (1000 nodes per label). Reduce number for faster analysis on large databases. To stop sampling, set to -1.

🏷️ 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).

This is useful when you need to connect to multiple Neo4j databases or instances from the same session.

⚙️ Query Configuration

The server provides configuration options to optimize query performance and manage response sizes:

⏱️ Query Timeouts

Configure timeouts for read queries to prevent long-running queries from disrupting conversational flow:

Command Line:

bash
mcp-neo4j-cypher --read-timeout 60  # 60 seconds

Environment Variable:

bash
export NEO4J_READ_TIMEOUT=60

Docker:

bash
docker run -e NEO4J_READ_TIMEOUT=60 mcp-neo4j-cypher:latest

Default: 30 seconds. Read queries that exceed this timeout will be automatically cancelled to maintain responsive interactions with AI models.

📏 Token Limits

Control the maximum size of query responses to prevent overwhelming the AI model:

Command Line:

bash
mcp-neo4j-cypher --token-limit 4000

Environment Variable:

bash
export NEO4J_RESPONSE_TOKEN_LIMIT=4000

Docker:

bash
docker run -e NEO4J_RESPONSE_TOKEN_LIMIT=4000 mcp-neo4j-cypher:latest

When a response exceeds the token limit, it will be automatically truncated to fit within the specified limit using tiktoken. This ensures:

  • Consistent Performance: Responses stay within model context limits
  • Cost Control: Prevents excessive token usage in AI interactions
  • Reliability: Large datasets don't break the conversation flow

Note: Token limits only apply to read_neo4j_cypher responses. Schema queries and write operations return summary information and are not affected.

🔍 Schema Sampling

Control the performance and scope of schema inspection with the sample parameter for the get_neo4j_schema tool:

Command Line:

bash
mcp-neo4j-cypher --sample 1000  # Sample 1000 nodes per label

Environment Variable:

bash
export NEO4J_SCHEMA_SAMPLE_SIZE=1000

Docker:

bash
docker run -e NEO4J_SCHEMA_SAMPLE_SIZE=1000 mcp-neo4j-cypher:latest

The sample parameter controls how many nodes are examined when generating the database schema:

  • Default: 1000 nodes per label are sampled for schema analysis
  • Performance: Lower values (100, 500) provide faster schema inspection on large databases
  • Accuracy: Higher values (5000, 10000) provide more comprehensive schema coverage
  • Full Scan: Set to -1 to examine all nodes (can be very slow on large databases)
  • Per-Call Override: The get_neo4j_schema tool accepts a sample_param parameter to override the server default

How Sampling Works (via APOC's apoc.meta.schema):

  • For each node label, a skip count is calculated: totalNodesForLabel / sample ± 10%
  • Every Nth node is examined based on the skip count
  • Higher sample numbers result in more nodes being examined
  • Results may vary between runs due to random sampling

Example Scenarios:

bash
# Fast schema inspection for large databasesexport NEO4J_SCHEMA_SAMPLE_SIZE=100
# Balanced performance and accuracy (default)export NEO4J_SCHEMA_SAMPLE_SIZE=1000
# Comprehensive schema analysisexport NEO4J_SCHEMA_SAMPLE_SIZE=5000
# Full database scan (use with caution on large databases)export NEO4J_SCHEMA_SAMPLE_SIZE=-1

Performance Considerations:

  • Large Databases: Use lower sample values (100-500) to prevent timeouts
  • Development: Higher sample values (1000-5000) for thorough schema understanding
  • Production: Balance between performance and schema completeness based on your use case

🏗️ Local Development & Deployment

🐳 Local Docker Development

Build and run locally for testing or remote deployment:

bash
# Build the Docker image with a custom name from your local version of the serverdocker build -t mcp-neo4j-cypher:latest .
# Run locally (uses http transport by default for Docker)docker run -p 8000:8000 \  -e NEO4J_URI="bolt://host.docker.internal:7687" \  -e NEO4J_USERNAME="neo4j" \  -e NEO4J_PASSWORD="your-password" \  mcp-neo4j-cypher:latest
# Access the server at http://localhost:8000/mcp/

🚀 Transport Modes

The server supports different transport protocols depending on your deployment:

  • STDIO (for local development): Standard input/output for Claude Desktop and local tools
  • HTTP (for remote deployments): RESTful HTTP for web deployments and microservices
  • SSE: Server-Sent Events for legacy web-based deployments

Choose your transport based on use case:

  • Local development/Claude Desktop: Use stdio
  • Remote deployment: Use http
  • Legacy web clients: Use sse

🔒 Security Protection

The server includes comprehensive security protection with secure defaults that protect against common web-based attacks while preserving full MCP functionality when using HTTP transport.

🛡️ DNS Rebinding Protection

TrustedHost Middleware validates Host headers to prevent DNS rebinding attacks:

Secure by Default:

  • Only localhost and 127.0.0.1 hosts are allowed by default
  • Malicious websites cannot trick browsers into accessing your local server

Environment Variable:

bash
export NEO4J_MCP_SERVER_ALLOWED_HOSTS="example.com,www.example.com"

🌐 CORS Protection

Cross-Origin Resource Sharing (CORS) protection blocks browser-based requests by default:

Environment Variable:

bash
export NEO4J_MCP_SERVER_ALLOW_ORIGINS="https://example.com,https://example.com"

🔧 Complete Security Configuration

Development Setup:

bash
mcp-neo4j-cypher --transport http \  --allowed-hosts "localhost,127.0.0.1" \  --allow-origins "http://localhost:3000"

Production Setup:

bash
mcp-neo4j-cypher --transport http \  --allowed-hosts "example.com,www.example.com" \  --allow-origins "https://example.com,https://example.com"

🚨 Security Best Practices

For allow_origins:

  • Be specific: ["https://example.com", "https://example.com"]
  • Never use "*" in production with credentials
  • Use HTTPS origins in production

For allowed_hosts:

  • Include your actual domain: ["example.com", "www.example.com"]
  • Include localhost only for development
  • Never use "*" unless you understand the risks

🔧 Usage with Claude Desktop

Using DXT

Download the latest .dxt file from the releases page and install it with your MCP client.

💾 Released Package

Can be found on PyPi https://pypi.org/project/mcp-neo4j-cypher/

Add the server to your claude_desktop_config.json with the database connection configuration through environment variables. You may also specify the transport method, namespace and other config variables with cli arguments or environment variables.

json
{  "mcpServers": {    "neo4j-database": {      "command": "uvx",      "args": [ "[email protected]", "--transport", "stdio"  ],      "env": {        "NEO4J_URI": "bolt://localhost:7687",        "NEO4J_USERNAME": "neo4j",        "NEO4J_PASSWORD": "<your-password>",        "NEO4J_DATABASE": "neo4j"      }    }  }}

🌐 HTTP Transport Configuration

For custom HTTP configurations with security middleware:

bash
# Complete HTTP configuration with securitymcp-neo4j-cypher --transport http \  --server-host 127.0.0.1 \  --server-port 8080 \  --server-path /mcp/ \  --allowed-hosts "localhost,127.0.0.1,example.com" \  --allow-origins "https://yourapp.com"
# Using environment variablesexport NEO4J_TRANSPORT=httpexport NEO4J_MCP_SERVER_HOST=127.0.0.1export NEO4J_MCP_SERVER_PORT=8080export NEO4J_MCP_SERVER_PATH=/mcp/export NEO4J_MCP_SERVER_ALLOWED_HOSTS="localhost,127.0.0.1,example.com"export NEO4J_MCP_SERVER_ALLOW_ORIGINS="https://yourapp.com"mcp-neo4j-cypher

Multiple Database Example

Here's an example of connecting to multiple Neo4j databases using namespaces:

json
{  "mcpServers": {    "movies-neo4j": {      "command": "uvx",      "args": ["[email protected]", "--namespace", "movies"],      "env": {        "NEO4J_URI": "neo4j+s://demo.neo4jlabs.com",        "NEO4J_USERNAME": "recommendations",        "NEO4J_PASSWORD": "recommendations",        "NEO4J_DATABASE": "recommendations"      }    },    "local-neo4j": {      "command": "uvx",      "args": ["[email protected]"],      "env": {        "NEO4J_URI": "bolt://localhost:7687",        "NEO4J_USERNAME": "neo4j",        "NEO4J_PASSWORD": "password",        "NEO4J_DATABASE": "neo4j",        "NEO4J_NAMESPACE": "local"      }    }  }}

In this setup:

  • The movies database tools will be prefixed with movies- (e.g., movies-read_neo4j_cypher)
  • The local database tools will be prefixed with local- (e.g., local-get_neo4j_schema)

Syntax with --db-url, --username, --password, --read-timeout and other command line arguments is still supported but environment variables are preferred:

Legacy Syntax
json
"mcpServers": {  "neo4j": {    "command": "uvx",    "args": [      "[email protected]",      "--db-url",      "bolt://localhost",      "--username",      "neo4j",      "--password",      "<your-password>",      "--namespace",      "mydb",      "--transport",      "sse",      "--server-host",      "127.0.0.1",      "--server-port",      "8000"      "--server-path",      "/mcp/"    ]  }}

🐳 Using with Docker

Here we use the Docker Hub hosted Cypher MCP server image with stdio transport for use with Claude Desktop.

Config details:

  • -i: Interactive mode - keeps STDIN open for stdio transport communication
  • --rm: Automatically remove container when it exits (cleanup)
  • -p 8000:8000: Port mapping - maps host port 8000 to container port 8000
  • NEO4J_TRANSPORT=stdio: Uses stdio transport for Claude Desktop compatibility
  • NEO4J_NAMESPACE=neo4j: Prefixes tools with "neo4j-" (e.g., neo4j-read_neo4j_cypher)
  • NEO4J_URI=bolt://host.docker.internal:7687: Allows Docker container to connect to Neo4j running on host machine
json
{  "mcpServers": {    "neo4j": {      "command": "docker",      "args": [        "run",        "-i",        "--rm",        "-p",         "8000:8000",        "-e", "NEO4J_URI=bolt://host.docker.internal:7687",        "-e", "NEO4J_USERNAME=neo4j",        "-e", "NEO4J_PASSWORD=password",        "-e", "NEO4J_NAMESPACE=neo4j",        "-e", "NEO4J_TRANSPORT=stdio",        "mcp/neo4j-cypher:latest"      ]    }  }}

🐳 Docker Deployment

The Neo4j MCP server can be deployed using Docker for remote deployments. Docker deployment should use HTTP transport for web accessibility. In order to integrate this deployment with applications like Claude Desktop, you will have to use a proxy in your MCP configuration such as mcp-remote.

📦 Using Your Built Image

After building locally with docker build -t mcp-neo4j-cypher:latest .:

bash
# Run with http transport (default for Docker)docker run --rm -p 8000:8000 \  -e NEO4J_URI="bolt://host.docker.internal:7687" \  -e NEO4J_USERNAME="neo4j" \  -e NEO4J_PASSWORD="password" \  -e NEO4J_DATABASE="neo4j" \  -e NEO4J_TRANSPORT="http" \  -e NEO4J_MCP_SERVER_HOST="0.0.0.0" \  -e NEO4J_MCP_SERVER_PORT="8000" \  -e NEO4J_MCP_SERVER_PATH="/mcp/" \  mcp/neo4j-cypher:latest
# Run with security middleware for productiondocker run --rm -p 8000:8000 \  -e NEO4J_URI="bolt://host.docker.internal:7687" \  -e NEO4J_USERNAME="neo4j" \  -e NEO4J_PASSWORD="password" \  -e NEO4J_DATABASE="neo4j" \  -e NEO4J_TRANSPORT="http" \  -e NEO4J_MCP_SERVER_HOST="0.0.0.0" \  -e NEO4J_MCP_SERVER_PORT="8000" \  -e NEO4J_MCP_SERVER_PATH="/mcp/" \  -e NEO4J_MCP_SERVER_ALLOWED_HOSTS="example.com,www.example.com" \  -e NEO4J_MCP_SERVER_ALLOW_ORIGINS="https://example.com" \  mcp/neo4j-cypher:latest

🔧 Environment Variables

VariableDefaultDescription
NEO4J_URIbolt://localhost:7687Neo4j connection URI
NEO4J_USERNAMEneo4jNeo4j username
NEO4J_PASSWORDpasswordNeo4j password
NEO4J_DATABASEneo4jNeo4j database name
NEO4J_TRANSPORTstdio (local), http (remote)Transport protocol (stdio, http, or sse)
NEO4J_NAMESPACE(empty)Tool namespace prefix
NEO4J_MCP_SERVER_HOST127.0.0.1 (local)Host to bind to
NEO4J_MCP_SERVER_PORT8000Port for HTTP/SSE transport
NEO4J_MCP_SERVER_PATH/mcp/Path for accessing MCP server
NEO4J_MCP_SERVER_ALLOW_ORIGINS(empty - secure by default)Comma-separated list of allowed CORS origins
NEO4J_MCP_SERVER_ALLOWED_HOSTSlocalhost,127.0.0.1Comma-separated list of allowed hosts (DNS rebinding protection)
NEO4J_RESPONSE_TOKEN_LIMIT(none)Maximum tokens for read query responses
NEO4J_READ_TIMEOUT30Timeout in seconds for read queries
NEO4J_READ_ONLYfalseAllow only read-only queries (true/false)
NEO4J_SCHEMA_SAMPLE_SIZE1000Number of nodes to sample for schema inspection (set to -1 for full scan)

🌐 SSE Transport for Legacy Web Access

When using SSE transport (for legacy web clients), the server exposes an HTTP endpoint:

bash
# Start the server with SSE transportdocker run -d -p 8000:8000 \  -e NEO4J_URI="neo4j+s://demo.neo4jlabs.com" \  -e NEO4J_USERNAME="recommendations" \  -e NEO4J_PASSWORD="recommendations" \  -e NEO4J_DATABASE="recommendations" \  -e NEO4J_TRANSPORT="sse" \  -e NEO4J_MCP_SERVER_HOST="0.0.0.0" \  -e NEO4J_MCP_SERVER_PORT="8000" \  --name neo4j-mcp-server \  mcp-neo4j-cypher:latest
# Test the SSE endpointcurl http://localhost:8000/sse
# Use with MCP Inspectornpx @modelcontextprotocol/inspector http://localhost:8000/sse

🐳 Docker Compose

For more complex deployments, you may use Docker Compose:

yaml
version: '3.8'
services:  # Deploy Neo4j Database (optional)  neo4j:    image: neo4j:5.26.1 # or another version    environment:      - NEO4J_AUTH=neo4j/password      - NEO4J_PLUGINS=["apoc"]    ports:      - '7474:7474' # HTTP      - '7687:7687' # Bolt    volumes:      - neo4j_data:/data
  # Deploy Cypher MCP Server  mcp-neo4j-cypher-server:    image: mcp/neo4j-cypher:latest    ports:      - '8000:8000'    environment:      - NEO4J_URI=bolt://host.docker.internal:7687      - NEO4J_USERNAME=neo4j      - NEO4J_PASSWORD=password      - NEO4J_DATABASE=neo4j      - NEO4J_TRANSPORT=http      - NEO4J_MCP_SERVER_HOST=0.0.0.0 # must be 0.0.0.0 for sse  or http transport in Docker      - NEO4J_MCP_SERVER_PORT=8000      - NEO4J_MCP_SERVER_PATH=/mcp/      - NEO4J_NAMESPACE=local    depends_on:      - neo4j
volumes:  neo4j_data:

Run with: docker-compose up -d

🔗 Claude Desktop Integration with Docker

For Claude Desktop integration with a Dockerized server using http transport:

json
{  "mcpServers": {    "neo4j-docker": {      "command": "npx",      "args": ["-y", "mcp-remote@latest", "http://localhost:8000/mcp/"]    }  }}

Note: First start your Docker container with HTTP transport, then Claude Desktop can connect to it via the HTTP endpoint and proxy server like mcp-remote.

🚀 Development

📦 Prerequisites

  1. Install uv:
bash
# Using pippip install uv
# Using Homebrew on macOSbrew install uv
# Using cargo (Rust package manager)cargo install uv
  1. Clone the repository and set up development environment:
bash
# Clone the repositorygit clone https://github.com/neo4j-contrib/mcp-neo4j.gitcd mcp-neo4j-cypher
# Create and activate virtual environment using uvuv venvsource .venv/bin/activate  # On Unix/macOS.venv\Scripts\activate     # On Windows
# Install dependencies including dev dependenciesuv pip install -e ".[dev]"
  1. Run Integration Tests
bash
./tests.sh

🔧 Development Configuration

For development with Claude Desktop using the local source:

json
{  "mcpServers": {    "neo4j-dev": {      "command": "uv",      "args": ["--directory", "/path/to/mcp-neo4j-cypher", "run", "mcp-neo4j-cypher", "--transport", "stdio", "--namespace", "dev"],      "env": {        "NEO4J_URI": "bolt://localhost:7687",        "NEO4J_USERNAME": "neo4j",        "NEO4J_PASSWORD": "<your-password>",        "NEO4J_DATABASE": "neo4j"      }    }  }}

Replace /path/to/mcp-neo4j-cypher with your actual project directory path.

📄 License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

来源:servers/mcp-neo4j-cypher/README.md,提交 1c7ad07

工具

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SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v1.0.0最新Sep 16, 2026

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