Redis MCP
DatabaseRedis database operations including key management, data types, and pub/sub messaging.
Author
Community
Category
Database
GitHub Stars
100+
Clients
1 supported
Sample Configuration
Add this to your MCP client configuration file (e.g., claude_desktop_config.json for Claude Desktop):
{
"mcpServers": {
"redis": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-redis"
]
}
}
}Use our MCP Manifest Generator to build complete configurations visually, or the MCP Config Validator to check your existing config.
Compatible Clients
Details
| Server ID | redis |
| Author | Community |
| Category | Database |
| Compatible With | Claude Desktop |
| Tags | rediscachedatabase |
| GitHub | https://github.com/modelcontextprotocol/servers/tree/main/src/redis |
| GitHub Stars | 100+ |
About Redis MCP
Redis MCP is a Model Context Protocol (MCP) server created by Community. It enables AI assistants to interact with Redis capabilities.
MCP (Model Context Protocol) is an open standard that allows AI models to securely connect to external tools and data sources. By installing Redis MCP, you give your AI assistant the ability to perform real actions through a standardized interface, rather than just generating text about them.
This server is compatible with Claude Desktop and has 100+ stars on GitHub. It falls under the "Database" category of MCP servers.
To get started, use our MCP Manifest Generator to create a complete configuration, or validate your existing setup with the MCP Config Validator.
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FAQ
How do I install Redis MCP?
Visit the GitHub repository at https://github.com/modelcontextprotocol/servers/tree/main/src/redis for detailed installation instructions. Setup steps vary depending on your MCP client.
What clients work with Redis MCP?
Redis MCP is compatible with Claude Desktop. Each client has its own configuration file format, but the MCP server setup is similar across all of them.
What can I do with Redis MCP?
Redis database operations including key management, data types, and pub/sub messaging. Once configured, your AI assistant can interact with these capabilities through natural language commands, making it possible to perform real actions directly from your AI chat interface.