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Redis MCP server

Provides a natural language interface to Redis databases, enabling operations on various data structures with tools for vector similarity search, pub/sub messaging, and server management.
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Setup instructions
Provider
Redis
Release date
Mar 29, 2025
Language
Python
Stats
317 stars
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The Redis MCP Server is a natural language interface that allows AI agents to interact with Redis databases efficiently. It enables storing, retrieving, and searching data in Redis using natural language queries, making it ideal for AI-driven applications that need to manage structured and unstructured data.

Installation

Using PyPI (Recommended)

The simplest way to install and use Redis MCP Server is through PyPI using the uvx command:

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

To install the package directly for testing:

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

Using GitHub

You can run Redis MCP Server directly from GitHub:

# Run with Redis URI
uvx --from git+https://github.com/redis/mcp-redis.git redis-mcp-server --url redis://localhost:6379/0

# Run with Redis URI and SSL
uvx --from git+https://github.com/redis/mcp-redis.git redis-mcp-server --url "rediss://<USERNAME>:<PASSWORD>@<HOST>:<PORT>?ssl_cert_reqs=required&ssl_ca_certs=<PATH_TO_CERT>"

# Run with individual parameters
uvx --from git+https://github.com/redis/mcp-redis.git redis-mcp-server --host localhost --port 6379 --password mypassword

Using Docker

You can use the official Docker image:

docker run --rm -i -e REDIS_HOST=<redis_hostname> -e REDIS_PORT=<redis_port> -e REDIS_USERNAME=<redis_username> -e REDIS_PWD=<redis_password> mcp/redis

Configuration

URL Specification

The Redis MCP Server accepts Redis connection URLs in the following format:

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

For encrypted connections, use the rediss scheme:

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

Command Line Options

Configure the server with these command-line arguments:

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

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

Available options:

  • --url - Redis connection URI
  • --host - Redis hostname (default: 127.0.0.1)
  • --port - Redis port (default: 6379)
  • --db - Redis database number (default: 0)
  • --username - Redis username
  • --password - Redis password
  • --ssl - Enable SSL connection
  • --ssl-ca-path - Path to CA certificate file
  • --ssl-keyfile - Path to SSL key file
  • --ssl-certfile - Path to SSL certificate file
  • --ssl-cert-reqs - SSL certificate requirements
  • --ssl-ca-certs - Path to CA certificates file
  • --cluster-mode - Enable Redis cluster mode

Environment Variables

You can also configure the server using 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
REDIS_SSL_KEYFILE Client's private key file None
REDIS_SSL_CERTFILE Client's certificate file None
REDIS_SSL_CERT_REQS Whether to verify the server's certificate "required"
REDIS_SSL_CA_CERTS Path to trusted CA certificates None
REDIS_CLUSTER_MODE Enable Redis Cluster mode False

EntraID Authentication for Azure Managed Redis

Redis MCP Server supports EntraID (Azure Active Directory) authentication:

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

Managed Identity Authentication:

# System-assigned managed identity
export REDIS_ENTRAID_AUTH_FLOW=managed_identity
export REDIS_ENTRAID_IDENTITY_TYPE=system_assigned

# User-assigned managed identity
export REDIS_ENTRAID_AUTH_FLOW=managed_identity
export REDIS_ENTRAID_IDENTITY_TYPE=user_assigned
export REDIS_ENTRAID_USER_ASSIGNED_CLIENT_ID=your-identity-client-id

Default Azure Credential:

export REDIS_ENTRAID_AUTH_FLOW=default_credential
export REDIS_ENTRAID_SCOPES=https://redis.azure.com/.default

Logging

Control logging verbosity 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

Integrating with MCP Clients

OpenAI Agents SDK

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

Augment

Use Easy MCP or manually configure with:

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

Claude Desktop

Add this to your claude_desktop_config.json:

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

VS Code with GitHub Copilot

Enable agent mode and configure 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 these tools to work with Redis data:

  • String tools: Set and get strings with expiration
  • Hash tools: Store field-value pairs including vector embeddings
  • List tools: Append and pop items for queues or recent actions
  • Set tools: Track unique values and perform set operations
  • Sorted set tools: Manage leaderboards and priority queues
  • Pub/Sub functionality: Publish messages to channels
  • Streams tools: Add, read, and delete from data streams
  • JSON tools: Store and manipulate complex nested data structures
  • Query engine: Manage vector indexes and perform vector search
  • Server management: Retrieve database information

Testing

Use the MCP Inspector for visual debugging:

npx @modelcontextprotocol/inspector uv run src/main.py

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

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