"Redis MCP server or integration" matching MCP servers:

A Model Context Protocol (MCP) server for Redis. Connect to any Redis instance and execute queries through AI assistants.

MCP server that exposes Redis API to AI models

A safe, connection-efficient Redis MCP server that provides tools for reading and managing Redis data, with safeguards like confirmation requirements for destructive operations.

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Provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

Enables MCP clients to execute Redis commands and bounded/paged reads against selected logical databases per request, with multi-instance configuration and read-only or read-write permissions.

A secure Redis MCP server built with Node.js and TypeScript, enabling MCP hosts like Claude Desktop to safely access Redis through standardized tools.

MCP server for Redis interaction with dynamic connection setup and management.

Zero-config MCP server that empowers AI agents to safely query SQL and NoSQL databases like PostgreSQL, MySQL, SQLite, MongoDB, and Redis.

Enables AI coding agents to instantly provision ephemeral developer infrastructure like Postgres, Redis, MongoDB, and container deployments over HTTPS, with no Docker or signup required for the free anonymous tier.

Enables AI agents to inspect, debug, and operate Redis Queue (RQ) queues, jobs, and workers, with access gated by read-only, write, or admin modes.

Provides AI-enabled access to Amazon Business API documentation, sample code, and troubleshooting resources. Enables developers to search and retrieve API documentation, generate integration code, and get guided solutions for common errors during the API integration process.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Enables LLMs to safely explore and operate Redis instances, with read-only keyspace inspection, multi-structure data access, memory and big-key analysis, slow query diagnostics, and optional opt-in write operations.

MCP FOR ITSM TOOL INTEGRATION

Provides AI-assisted guidance for the Weik.io integration platform, enabling planning, implementation, testing, and deployment of integrations using Apache Camel and specialized Weik.io features.

A Model Context Protocol (MCP) server for integrating with the SATIM payment gateway system in Algeria, enabling AI assistants to process CIB/Edhahabia card payments through the SATIM-ePAY platform.

Enables AI assistants to manage BullMQ Redis-based job queues through natural language, supporting operations like job monitoring, queue control, and multi-instance Redis connections. Users can add, retry, promote, and clean jobs while accessing detailed job logs and queue statistics directly within the assistant.

Enables integration of local LLM capabilities with MCP-compatible clients like Claude Desktop, Continue.dev, and Cline. Provides tools for processing text prompts through local language models using a customizable inference function.

Enables managing SAP Cloud Integration iFlows, packages, configurations, deployments, and runtime artifacts via natural language through the OData API.

Provides comprehensive Redis database operations supporting all major data types (strings, lists, sets, hashes, sorted sets) with full CRUD functionality through natural language commands.

Enables users to perform Redis database operations using the Model Context Protocol (MCP) tools, allowing for efficient data management through commands like setting, getting, and scanning hash fields.

MCP server for Redis with data operations, permission control, and operation logging. Supports key management, dynamic tool lists, and auto-reconnection.

This MCP server implementation allows users to manage and expose actions as tools from their Integration App workspace through the Model Context Protocol.

A multi-node todo application server using MCP protocol, Redis for storage, and OpenRouter for AI-powered prioritization analysis.

A FastMCP-based server that provides secure sandboxed filesystem operations, API integration tools, and curated reasoning prompts for analysis and productivity tasks.

Next.js-based MCP server using mcp-handler for Vercel deployment, supporting SSE transport and Redis integration.

MCP server enabling AI agents to design and deploy WRedis/Redis-backed services using expert patterns, architecture scaffolding, and a unified CLI.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

A security-first, read-only MCP server for AI assistants to safely query MySQL, PostgreSQL, and Redis with layered safety checks.

Enables AI assistants to securely interact with Yandex Tracker, covering queues, issues, comments, worklogs, checklists, boards, sprints, attachments, and advanced query-language search. Supports OAuth 2.0 or static token authentication, optional Redis caching, and stdio, SSE, or HTTP transports.

Unified Model Context Protocol server that bundles Slack, GitHub, Jira, PostgreSQL, Redis, AWS, webhooks, and email into one lightweight Docker container, providing a single REST API and web dashboard for AI agent integration.

Enables Codex projects to read Git-backed kickoff, acceptance, handoff, progress, and next-step context, and to append validated, audited progress events through scoped MCP tools. This supports visible agent progress, resumable sessions, and safer handoffs.

Enables Codex and other MCP clients to read kickoff cards, acceptance criteria, Git evidence, and next steps, then append validated, audited progress events for resumable project handoffs.

stateful MCP server with Redis sessions, event sourcing, and horizontal scaling

A comprehensive Model Context Protocol server for YouTrack integration, providing extensive tools for issue tracking, project management, workflow automation, and team collaboration.

A deployment template for running Model Context Protocol servers as Vercel Functions. It provides a foundation for developers to build and host custom tools, prompts, and resources with optimized execution for MCP client integration.

Enables key-value storage operations using multiple backends (memory, filesystem, redis, MongoDB, HTTP) via MCP tools like get, set, and list.

Enables agents to read a project's kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, and to append validated, audited progress events with matching Git commits through short-lived scoped credentials.

Enables AI agents to retrieve Git-backed project context, handoff packages, progress, and next steps, and to append validated progress events with matching project-record commits. This supports visible agent progress, resumable work, and safe handoffs while keeping high-risk actions outside the MCP surface.