wredis-mcp
Provides tools for searching, designing, and deploying Redis-backed services, offering a pattern catalog, architecture enforcement, and scaffolding for various Redis data structures and caching strategies.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@wredis-mcpScaffold a WRedis project for a task queue"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
π₯ wredis-mcp
Transform your AI Agents into expert WRedis Architects.
wredis-mcp is a professional Model Context Protocol (MCP) server that bridges the gap between AI Agents (Claude, Gemini, OpenCode) and WRedis. It empowers agents to search, design, and deploy high-performance Redis-backed services following strict industry-standard patterns.
β¨ Key Features
π Expert Pattern Catalog: Query production-ready patterns across all WRedis data structures (Hash, Queue, Stream, Pub/Sub, SortedSet, Geo, Bitmap, HyperLogLog, Pipeline, Transaction, Cache, HA).
ποΈ Strict Architecture Enforcement: Guides AI to output clean code using mandatory
config/,cache/,repositories/, andmain.pyfolder structures.π Architect's Manual: Built-in expertise for Monolith-to-Redis refactoring, TTL management, key naming, and atomicity patterns.
π» Unified CLI: Manage your MCP service with simple commands:
run,start,stop, andconfig.π‘οΈ Privacy First: 100% local execution via
stdioorSSE.
Related MCP server: Tyra Advanced Memory MCP Server
π Quick Start
1. Installation
Clone the repository and run the automated installer, or install via pip:
pip install -e .2. Integration
Get your agent-specific configuration block and installation commands by running:
wredis-mcp configThe CLI will dynamically detect your Python environment and provide exact copy-paste commands for Gemini CLI (e.g. gemini mcp add ...) and JSON blocks for Claude Desktop.
π οΈ CLI Usage
Command | Description |
| Start the server in |
| Start as an SSE server in the background. |
| Stop the background server. |
| Generate and save JSON config to |
| Show JSON configuration in stdout (no file creation). |
| Show available tools and commands. |
π οΈ MCP Tools
Tool | Description |
| Copy-pasteable expert code for caching, queues, streams, sessions and atomic transactions. |
| Search the official/community catalog for production-ready Redis patterns. |
| Deploy a professional WRedis project structure ( |
| Expert manual for building high-performance Redis-backed systems. |
π Project Structure
src/wredis_mcp/: Core server logic and tools.src/wredis_mcp/catalog.py: Pattern catalog synchronization with local fallbacks.src/wredis_mcp/templates.py: Professional boilerplate definitions.examples/: Sample implementations and use cases.
π License
MIT License - Crafted with β€οΈ by William Rodriguez (wisrovi).
π€ Autor & AfiliaciΓ³n Oficial
William Steve Rodriguez Villamizar (Wisrovi)
Cargo: Principal AI Engineer & Applied AI Solutions Architect | Scientific Researcher
π§ Email: wisrovi.rodriguez@gmail.com
π Portal Oficial: wisrovi.dev
πΌ LinkedIn: wisrovi-rodriguez
π ORCID: 0009-0005-0710-1861
π¦ PyPI: pypi.org/user/wisrovi/
π GitHub: @wisrovi
This server cannot be deployed
Maintenance
Related MCP Connectors
MCP server for AI agents to plan, verify, and deploy Cloudflare-native apps.
MCP server for building and testing AI agents with multi-model experimentation and insights.
MCP server for your apps' tools and custom tools, plus hosted AI agents and approval-gated workflows
- UnifAPIOAuthcom.unifapi
Hosted MCP server for live public-data APIs and Skills for AI agents.
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceA Redis-backed MCP server that enables multiple AI agents to communicate, coordinate, and collaborate while working on parallel development tasks, preventing conflicts in shared codebases.20MIT
- -licenseNot gradedqualityNot gradedmaintenanceA sophisticated MCP server providing advanced memory capabilities with RAG, hallucination detection, and enterprise-grade AI infrastructure for intelligent agent ecosystems.-
- AlicenseBqualityCmaintenanceMCP server that exposes Redis API to AI models4415 PyPIMIT
- AlicenseNot gradedqualityCmaintenanceMCP server that enables agents to dynamically switch between multiple AI models (OpenAI, Anthropic, Google, etc.) with unified protocol-driven configuration and capability discovery.Apache 2.0