Redis MCP server for AI agents

The Redis MCP Server is a natural language interface that allows AI agents to interact with Redis databases. It enables storing, retrieving, and manipulating data in Redis through conversational commands rather than writing complex Redis syntax.

Installation Options

Using PyPI (Recommended)

The simplest way to install Redis MCP Server is using the uvx command, which automatically downloads and runs the server:

{
  "mcpServers": {
    "RedisMCPServer": {
      "command": "uvx",
      "args": [
        "--from",
        "redis-mcp-server@latest",
        "redis-mcp-server",
        "--url",
        "\"redis://localhost:6379/0\""
      ]
    }
  }
}

You can also install it directly with pip:

pip install redis-mcp-server
uv python install 3.14
uv sync
uv run redis-mcp-server --url redis://localhost:6379/0

Using Docker

A Docker image is available for containerized deployment:

{
  "mcpServers": {
    "redis": {
      "command": "docker",
      "args": ["run",
                "--rm",
                "--name",
                "redis-mcp-server",
                "-i",
                "-e", "REDIS_HOST=<redis_hostname>",
                "-e", "REDIS_PORT=<redis_port>",
                "-e", "REDIS_USERNAME=<redis_username>",
                "-e", "REDIS_PWD=<redis_password>",
                "mcp/redis"]
    }
  }
}

Connecting to Redis

Connection URL Format

The server supports both standard Redis and SSL connections:

redis://user:secret@localhost:6379/0?foo=bar&qux=baz

For secure connections, use the rediss scheme:

rediss://user:secret@localhost:6379/0?foo=bar&qux=baz

To verify the server's identity:

rediss://user:secret@hostname:port?ssl_cert_reqs=required&ssl_ca_certs=path_to_the_certificate

Or for unverified connections:

rediss://user:secret@hostname:port?ssl_cert_reqs=none

Configuration

Command Line Arguments

# Basic Redis connection
uvx --from redis-mcp-server@latest redis-mcp-server \
  --host localhost \
  --port 6379 \
  --password mypassword

# Using Redis URI (simpler)
uvx --from redis-mcp-server@latest redis-mcp-server \
  --url redis://user:pass@localhost:6379/0

Environment Variables

Name	Description	Default Value
`REDIS_HOST`	Redis IP or hostname	`"127.0.0.1"`
`REDIS_PORT`	Redis port	`6379`
`REDIS_DB`	Database	0
`REDIS_USERNAME`	Default database username	`"default"`
`REDIS_PWD`	Default database password	""
`REDIS_SSL`	Enables or disables SSL/TLS	`False`
`REDIS_SSL_CA_PATH`	CA certificate for verifying server	None

EntraID Authentication (Azure Managed Redis)

The server supports Azure Active Directory authentication:

# For Service Principal authentication:
export REDIS_ENTRAID_AUTH_FLOW=service_principal
export REDIS_ENTRAID_CLIENT_ID=your-client-id
export REDIS_ENTRAID_CLIENT_SECRET=your-client-secret
export REDIS_ENTRAID_TENANT_ID=your-tenant-id

# For Managed Identity authentication:
export REDIS_ENTRAID_AUTH_FLOW=managed_identity
export REDIS_ENTRAID_IDENTITY_TYPE=system_assigned

Logging Configuration

Control logging level with the MCP_REDIS_LOG_LEVEL environment variable:

# See normal lifecycle messages
MCP_REDIS_LOG_LEVEL=INFO uv run src/main.py

# Very verbose for debugging
MCP_REDIS_LOG_LEVEL=DEBUG uvx --from redis-mcp-server@latest redis-mcp-server --url redis://localhost:6379/0

Integration with Tools

OpenAI Agents SDK

pip install openai-agents
export OPENAI_API_KEY="<openai_token>"
python3.14 redis_assistant.py

Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "redis-mcp-server": {
        "type": "stdio",
        "command": "/path/to/uvx",
        "args": [
            "--from", "redis-mcp-server@latest",
            "redis-mcp-server",
            "--url", "redis://localhost:6379/0"
        ]
    }
  }
}

VS Code with GitHub Copilot

Enable agent mode in settings.json:

{
  "chat.agent.enabled": true
}

Configure the server in mcp.json:

"servers": {
  "redis": {
    "type": "stdio",
    "command": "uvx",
    "args": [
      "--from", "redis-mcp-server@latest",
      "redis-mcp-server",
      "--url", "redis://localhost:6379/0"
    ]
  }
}

Available Tools

The Redis MCP Server provides tools for working with:

Strings: Set and get values with expiration
Hashes: Store field-value pairs, including vector embeddings
Lists: Append and pop items for queues and stacks
Sets: Track unique values and perform set operations
Sorted Sets: Create leaderboards and priority queues
Pub/Sub: Publish and subscribe to channels
Streams: Add, read, and delete from data streams
JSON: Store and manipulate JSON documents
Vector Search: Manage vector indexes and perform similarity searches
Server Management: Get database information

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "redis" '{"command":"uv","args":["--directory","<your_mcp_server_directory>","run","src/main.py"],"env":{"REDIS_HOST":"<your_redis_database_hostname>","REDIS_PORT":"<your_redis_database_port>","REDIS_USERNAME":"<your_redis_database_username>","REDIS_PWD":"<your_redis_database_password>"}}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "redis": {
            "command": "uv",
            "args": [
                "--directory",
                "<your_mcp_server_directory>",
                "run",
                "src/main.py"
            ],
            "env": {
                "REDIS_HOST": "<your_redis_database_hostname>",
                "REDIS_PORT": "<your_redis_database_port>",
                "REDIS_USERNAME": "<your_redis_database_username>",
                "REDIS_PWD": "<your_redis_database_password>"
            }
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "redis": {
            "command": "uv",
            "args": [
                "--directory",
                "<your_mcp_server_directory>",
                "run",
                "src/main.py"
            ],
            "env": {
                "REDIS_HOST": "<your_redis_database_hostname>",
                "REDIS_PORT": "<your_redis_database_port>",
                "REDIS_USERNAME": "<your_redis_database_username>",
                "REDIS_PWD": "<your_redis_database_password>"
            }
        }
    }
}

3. Restart Claude Desktop for the changes to take effect