"Upstash - A Serverless Data Platform for Redis and Kafka" matching MCP servers:

The official Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis.

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Upstash Developer API's.

Provides a serverless implementation of the Model Context Protocol for registering and managing tools, enabling in-memory client-server connections and credential transmission via request context.

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

Enables MCP hosts like ChatGPT and Claude to query data platform metadata, explore schemas and tables, inspect SQL explain plans, and monitor DAG and ETL status through standardized tools.

Enables AI assistants to perform comprehensive Redis database operations including managing strings, hashes, lists, sets, sorted sets, TTL management, and data backup/restore. Supports secure connections and provides batch operations for efficient Redis interaction through natural language.

An MCP server that enables interaction with Kafka clusters to manage topics, monitor consumer groups, and stream messages. It provides a comprehensive suite of tools for broker metadata inspection and local Kafka user management.

Read-only MCP server for Kafka cluster health, consumer lag, partition state, and replay-readiness, enabling AI agents to diagnose streaming incidents without write access.

An MCP server that enables LLM coding agents to deploy web applications to AWS serverless infrastructure, supporting backend, frontend, and fullstack deployments.

Bootstrap MCP server for future data exploration and querying across multiple databases, currently only provides a hello_world tool with no actual data connectivity.

A framework to deploy MCP servers on AWS using serverless services like Lambda, API Gateway, and EventBridge, with dynamic tools, prompts, and resources managed via SSM parameters and Lambda functions.

Enterprise support ticket system using FastMCP server with Redis for persistent state and multiple clients.

A minimal MCP server deployed on AWS Lambda and exposed via API Gateway, enabling tools like addition through JSON-RPC interactions.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

A shared communication bus for multiple agents using NATS and MCP, enabling MCP clients to list, message, and query agents.

An MCP server with 66+ tools for data engineering, enabling AI assistants to interact with Kafka, databases, AWS, data pipelines, infrastructure, and more.

Deploys a stateless MCP server on AWS Lambda and API Gateway using CDK, supporting Express.js or Hono implementations with bearer token authentication and MCP tools, resources, and prompts.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

MCP server for the loc8n Geographic Data API. Exposes U.S. demographics, housing, mortgage, migration, employment, and geographic data as tools.

Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.