Redis MCP Server - Alternatives & Competitors

Natural language interface for managing and querying Redis via the Model Context Protocol.

Redis MCP Server provides an MCP-compliant interface for agentic applications to interact with Redis using natural language commands. It enables AI-driven workflows to store, search, and manage structured or unstructured data efficiently. The server integrates seamlessly with any MCP client, supporting full Redis data structures and advanced querying. It is designed for scalable, high-performance data operations and native support for Azure authentication.

#redis #natural-language-interface #agentic workflows #Data Management #azure authentication #data search

Ranked by Relevance

  • 1
    Azure MCP Server

    Azure MCP Server

    Connect AI agents with Azure services through Model Context Protocol.

    Azure MCP Server provides a seamless interface between AI agents and Azure services by implementing the Model Context Protocol (MCP) specification. It enables integration with tools like GitHub Copilot for Azure and supports a wide range of Azure resource management tasks directly via conversational AI interfaces. Designed for extensibility and compatibility, it offers enhanced contextual capabilities for agents working with Azure environments.

    1,178 351 MCP
  • 2
    Azure DevOps MCP Server

    Azure DevOps MCP Server

    Standardized AI access to Azure DevOps via Model Context Protocol.

    Implements the Model Context Protocol (MCP) to enable AI assistants to securely and efficiently interact with Azure DevOps resources. Provides a standardized bridge for managing projects, work items, repositories, pull requests, and pipelines through natural language interfaces. Supports modular authentication and a feature-based architecture for scalability and integration. Facilitates seamless integration with AI tools such as Claude Desktop and Cursor AI.

    306 93 MCP
  • 3
    Multi-Database MCP Server (by Legion AI)

    Multi-Database MCP Server (by Legion AI)

    Unified multi-database access and AI interaction server with MCP integration.

    Multi-Database MCP Server enables seamless access and querying of diverse databases via a unified API, with native support for the Model Context Protocol (MCP). It supports popular databases such as PostgreSQL, MySQL, SQL Server, and more, and is built for integration with AI assistants and agents. Leveraging the MCP Python SDK, it exposes databases as resources, tools, and prompts for intelligent, context-aware interactions, while delivering zero-configuration schema discovery and secure credential management.

    76 19 MCP
  • 4
    YDB MCP

    YDB MCP

    MCP server for AI-powered natural language database operations on YDB.

    YDB MCP acts as a Model Context Protocol server enabling YDB databases to be accessed via any LLM supporting MCP. It allows AI-driven and natural language interaction with YDB instances by bridging database operations with language model interfaces. Flexible deployment through uvx, pipx, or pip is supported, along with multiple authentication methods. The integration empowers users to manage YDB databases conversationally through standardized protocols.

    24 7 MCP
  • 5
    mcp-server-docker

    mcp-server-docker

    Natural language management of Docker containers via Model Context Protocol.

    mcp-server-docker enables users to manage Docker containers using natural language instructions through the Model Context Protocol. It allows composing, introspecting, and debugging containers, as well as managing persistent Docker volumes. The tool is suitable for server administrators, tinkerers, and AI enthusiasts looking to leverage LLM capabilities for Docker management. Integration with tools like Claude Desktop and Docker ensures flexible deployment and easy connectivity to Docker engines.

    648 86 MCP
  • 6
    APISIX Model Context Protocol Server

    APISIX Model Context Protocol Server

    Bridge LLMs with APISIX for natural language API management.

    APISIX Model Context Protocol (MCP) Server enables large language models to interact with and manage APISIX resources via natural language commands. It provides a standardized protocol for connecting AI clients like Claude, Cursor, and Copilot to the APISIX Admin API. The server supports a range of operations including CRUD for routes, services, upstreams, plugins, security configurations, and more. Installation is streamlined via Smithery, npm, or direct source setup with customizable environment variables.

    29 9 MCP
  • 7
    ROADrecon MCP Server

    ROADrecon MCP Server

    Expose ROADRecon Azure AD data to AI assistants for advanced security analysis.

    ROADrecon MCP Server implements the Model Context Protocol to provide seamless access to Azure AD data from ROADRecon instances for AI assistants like Claude. It enables secure retrieval and analysis of directory data, offers pre-built security analysis tools, and supplies prompt templates for common security tasks. The server facilitates structured data access and tool execution, streamlining organizational security reviews.

    47 8 MCP
  • 8
    Yandex Tracker MCP Server

    Yandex Tracker MCP Server

    A Model Context Protocol server for secure and flexible integration with Yandex Tracker APIs.

    Yandex Tracker MCP Server enables AI assistants to securely interact with Yandex Tracker APIs by providing authenticated access to issues, queues, comments, worklogs, and more. It supports advanced query capabilities, optional Redis caching for enhanced performance, and multiple transport options including HTTP and stdio. The server features OAuth 2.0 authentication, granular security controls, and can be seamlessly integrated as an extension in various AI clients, such as Claude Desktop.

    28 6 MCP
  • 9
    Membase-MCP Server

    Membase-MCP Server

    Decentralized memory layer server for AI agents using the Model Context Protocol.

    Membase-MCP Server provides decentralized and persistent storage of conversation history and agent knowledge for AI agents using Unibase and the Model Context Protocol. It supports secure, traceable storage and retrieval of messages to ensure agent continuity and personalization within interactions. The server offers integration with Claude, Windsurf, Cursor, and Cline, allowing dynamic context management such as switching conversations and saving or retrieving messages. The server leverages the Unibase DA network for verifiable storage and agent data interoperability.

    15 4 MCP
  • 10
    Memory MCP

    Memory MCP

    A Model Context Protocol server for managing LLM conversation memories with intelligent context window caching.

    Memory MCP provides a Model Context Protocol (MCP) server for logging, retrieving, and managing memories from large language model (LLM) conversations. It offers features such as context window caching, relevance scoring, and tag-based context retrieval, leveraging MongoDB for persistent storage. The system is designed to efficiently archive, score, and summarize conversational context, supporting external orchestration and advanced memory management tools. This enables seamless handling of conversation history and dynamic context for enhanced LLM applications.

    10 6 MCP
  • 11
    Snowflake Cortex AI Model Context Protocol (MCP) Server

    Snowflake Cortex AI Model Context Protocol (MCP) Server

    Tooling and orchestration for Snowflake Cortex AI via Model Context Protocol.

    Provides an MCP server that brings Snowflake Cortex AI, object management, and SQL orchestration to the MCP ecosystem. Enables Cortex Search, Analyst, and Agent services for structured and unstructured data querying, along with automated SQL execution and object management. Designed for integration with MCP clients to streamline AI-powered data workflows and context-sensitive operations within Snowflake environments.

    176 60 MCP
  • 12
    Modbus MCP Server

    Modbus MCP Server

    Standardizes Modbus data for seamless AI integration via the Model Context Protocol.

    Modbus MCP Server provides an MCP-compliant interface that standardizes and contextualizes Modbus device data for use with AI agents and industrial IoT systems. It supports flexible Modbus connections over TCP, UDP, or serial interfaces and offers a range of Modbus tools for reading and writing registers and coils. With customizable prompts and structured tool definitions, it enables natural language-driven interactions and analysis of Modbus data within AI workflows. The solution is designed to ensure interoperability and easy configuration within MCP-compatible environments.

    18 7 MCP
  • 13
    CircleCI MCP Server

    CircleCI MCP Server

    Enable LLM-driven automation for CircleCI with the Model Context Protocol.

    CircleCI MCP Server is an implementation of the Model Context Protocol (MCP) designed to bridge CircleCI with large language models and AI assistants. It supports integration with tools like Cursor IDE, Windsurf, Copilot, and VS Code, allowing users to interact with CircleCI using natural language. The server can be deployed locally via NPX or Docker and remotely, making CircleCI workflows accessible and manageable through standardized protocol operations.

    69 38 MCP
  • 14
    Supabase MCP Server

    Supabase MCP Server

    Connect Supabase projects to AI assistants using the Model Context Protocol.

    Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.

    2,263 253 MCP
  • 15
    Databricks Genie MCP Server

    Databricks Genie MCP Server

    Bridge natural language queries to Databricks Genie via Model Context Protocol.

    Databricks Genie MCP Server enables interaction between large language models and the Databricks Genie API using the Model Context Protocol. It allows users to ask natural language questions, start and manage conversations, and run SQL queries in Genie spaces. The tool provides structured results, supports follow-up queries, and facilitates connection through both standard and Docker-based setups. Designed for use with Claude Desktop, it streamlines conversational analytics within Databricks workspaces.

    12 2 MCP
  • 16
    Higress OPS MCP Server

    Higress OPS MCP Server

    Model Context Protocol server and client for fully managed Higress configuration.

    Higress OPS MCP Server delivers a Model Context Protocol-compliant server and client for centralized configuration and management of Higress. It leverages a flexible tool-based architecture and offers seamless integration with LangGraph and LangChain MCP Adapters, streamlining agent-driven workflows for system operations. The package allows developers to define, extend, and register custom tools, supporting secure interaction with the Higress Console API. Sensitive actions can be flagged for human confirmation to enhance operational safety.

    22 8 MCP
  • 17
    SkySQL MCP Server

    SkySQL MCP Server

    Serverless MariaDB database management with AI-powered agents via Model Context Protocol.

    SkySQL MCP Server implements the Model Context Protocol to provide a robust interface for launching and managing serverless MariaDB and MySQL database instances. It offers capabilities to interact with AI-powered agents for intelligent database operations, execute SQL queries, and manage credentials and security settings. Integration with tools like MCP CLI, Smithery.ai, and Cursor.sh is supported for interactive usage. Designed for efficiency and scalability, it enables streamlined database workflows with advanced AI assistance.

    2 3 MCP
  • 18
    ROS MCP

    ROS MCP

    Natural language interface for controlling ROS robots using the Model Context Protocol

    ROS MCP is a server that implements the Model Context Protocol (MCP) to enable natural language control of robots in ROS environments. It facilitates communication with ROS topics, services, and actions, supporting any ROS message type. The system integrates with GUI tools through a socket server and can be used with Claude Desktop for interactive robot management. Key functionalities include topic management, node control, service interaction, and process management for ROS2-powered robots.

    26 3 MCP
  • 19
    mcp-recon

    mcp-recon

    Conversational reconnaissance interface and MCP server for HTTP and ASN analysis.

    mcp-recon acts as a conversational interface and Model Context Protocol (MCP) server, enabling seamless web domain and ASN reconnaissance through natural language prompts. It integrates powerful tooling like httpx and asnmap to conduct lightweight or full HTTP analysis and ASN lookups, exposing these capabilities to any MCP-compatible AI assistant. With predefined prompts and Docker-based deployment, it streamlines infrastructure analysis via AI interfaces such as Claude Desktop.

    22 5 MCP
  • 20
    PGMCP

    PGMCP

    Natural language PostgreSQL interface via the Model Context Protocol.

    PGMCP enables seamless interaction with any PostgreSQL database through natural language queries, translating user intent into structured SQL results. It acts as a Model Context Protocol (MCP) server, connecting AI assistants and MCP-compatible clients to databases with features like streaming, robust error handling, and optional AI-powered SQL generation. The tool ensures secure, read-only access to existing databases using HTTP/MCP protocol. Compatibility includes tools such as Cursor, Claude Desktop, and VS Code extensions.

    499 53 MCP
  • 21
    XiYan MCP Server

    XiYan MCP Server

    A server enabling natural language queries to SQL databases via the Model Context Protocol.

    XiYan MCP Server is a Model Context Protocol (MCP) compliant server that allows users to query SQL databases such as MySQL and PostgreSQL using natural language. It leverages the XiYanSQL model, providing state-of-the-art text-to-SQL translation and supports both general LLMs and local deployment for enhanced security. The server lists available database tables as resources and can read table contents, making it simple to integrate with different applications.

    218 43 MCP
  • 22
    Kafka Schema Registry MCP Server

    Kafka Schema Registry MCP Server

    MCP-compliant server for advanced Kafka Schema Registry management and integration.

    Kafka Schema Registry MCP Server is a fully-compliant Model Context Protocol (MCP) server built with the FastMCP 2.8.0+ framework. It provides advanced schema context support, enables multi-registry management, and offers comprehensive schema export capabilities. The tool is designed for seamless integration with Claude Desktop and other MCP clients using JSON-RPC over stdio. It supports Docker-based deployment and includes features to streamline both administrator and end-user workflows.

    26 7 MCP
  • 23
    mcp-server-rabbitmq

    mcp-server-rabbitmq

    RabbitMQ Reference Implementation for the Model Context Protocol (MCP)

    Implements a server for the Model Context Protocol (MCP) using RabbitMQ as the messaging backend. Provides a standardized approach for handling model context, enabling scalable and efficient context management for AI applications. The project has been migrated to the official Amazon MQ repository.

    40 10 MCP
  • 24
    OPNsense MCP Server

    OPNsense MCP Server

    AI-powered firewall and network management for OPNsense

    OPNsense MCP Server provides a comprehensive Model Context Protocol server for automating and managing OPNsense firewall configurations. It enables AI assistants, such as Claude, to directly interact with and control networking features including firewall rules, NAT, VLANs, diagnostics, and advanced system operations via API and SSH. The tool supports batch operations, direct command execution, and advanced troubleshooting, enhancing network management automation. It also supports integration for infrastructure as code and toolchains supporting MCP environments.

    26 3 MCP
  • 25
    Agentic Long-Term Memory with Notion Integration

    Agentic Long-Term Memory with Notion Integration

    Production-ready agentic long-term memory and Notion integration with Model Context Protocol support.

    Agentic Long-Term Memory with Notion Integration enables AI agents to incorporate advanced long-term memory capabilities using both vector and graph databases. It offers comprehensive Notion workspace integration along with a production-ready Model Context Protocol (MCP) server supporting HTTP and stdio transports. The tool facilitates context management, tool discovery, and advanced function chaining for complex agentic workflows.

    4 2 MCP
  • 26
    codelogic-mcp-server

    codelogic-mcp-server

    Leverage CodeLogic’s dependency data for AI-powered impact analysis.

    Codelogic-mcp-server implements an MCP (Model Context Protocol) server, enabling integration of CodeLogic's software dependency data into AI programming assistants. It provides tools for code and database impact assessments by interacting with a CodeLogic server, enhancing context-aware code and database analysis. The server supports integration with popular IDEs, including VS Code and Claude Desktop, using Astral UV/UVX for communication. This solution is designed to bring actionable dependency insights to AI coding workflows.

    31 14 MCP
  • 27
    mcp-server-atlassian-bitbucket

    mcp-server-atlassian-bitbucket

    Seamlessly connect AI assistants to your Bitbucket repositories for smart code insights and workflow automation.

    mcp-server-atlassian-bitbucket enables direct integration of AI assistants such as Claude and Cursor AI with Bitbucket repositories, pull requests, and code. It provides instant code insights, automates code reviews, and supports a variety of repository management actions via natural language commands. The tool utilizes Model Context Protocol (MCP) to standardize AI interaction with repository context data. It offers support for Bitbucket's new Scoped API Tokens and legacy app passwords for authentication.

    84 39 MCP
  • 28
    MCPR

    MCPR

    Stateful Human-AI Collaboration and Persistent R Sessions

    MCPR enables AI agents to establish interactive, persistent sessions within a live R environment, allowing for stateful, multi-step analytical workflows. By leveraging JSON-RPC 2.0 over `nanonext` sockets, it facilitates robust, asynchronous communication and exposes R session functionalities as modular tools. The framework includes session management, service discovery, and advanced plot rendering capabilities, making it ideal for collaborative and iterative data analysis.

    16 5 MCP
  • 29
    CRIC物业AI MCP Server

    CRIC物业AI MCP Server

    行业级物业AI智能体,基于MCP协议的多场景助手

    CRIC物业AI MCP Server is a server-side implementation based on the Model Context Protocol (MCP), offering intelligent assistance specifically for the property management sector. It integrates multi-modal large models and RAG technology to provide industry research, legal insights, community governance, project operations, and copywriting support. The platform leverages extensive proprietary datasets and real-time data monitoring to deliver accurate, context-driven services for diverse property-related business scenarios.

    1 3 MCP
  • 30
    MCP AI SOC Sher

    MCP AI SOC Sher

    AI-driven SOC Text2SQL framework with security threat analysis

    MCP AI SOC Sher is an advanced AI-powered platform that converts natural language prompts into optimized SQL queries using a Model Context Protocol-based server setup. It supports Text2SQL translation, real-time query processing, and security threat analysis across multiple database types. The tool offers multiple interfaces including STDIO, SSE, and REST API for flexible integration, and features in-depth SOC (Security Operations Center) monitoring capabilities. Built-in security features include SQL injection detection, sensitive table monitoring, and configurable security levels.

    5 2 MCP
  • 31
    GhidraMCP

    GhidraMCP

    AI-powered binary analysis through Model Context Protocol integration with Ghidra

    GhidraMCP is a Ghidra plugin that implements the Model Context Protocol (MCP), enabling seamless connectivity between Ghidra and AI-powered assistants for advanced binary analysis. It allows users to interact with binaries using natural language, automate security and code analysis, and retrieve detailed program insights through a socket-based architecture. The plugin offers functions for exploring binary structures, analyzing memory layouts, and identifying vulnerabilities, providing a flexible and efficient reverse engineering workflow.

    77 13 MCP
  • 32
    EntraID MCP Server (Microsoft Graph FastMCP)

    EntraID MCP Server (Microsoft Graph FastMCP)

    A modular FastMCP server for managing Microsoft Graph resources with advanced context and security.

    EntraID MCP Server provides a modular, resource-oriented implementation of a FastMCP server tailored for Microsoft Graph API interactions. It supports advanced operations across users, groups, applications, service principals, MFA, and sign-in logs, offering extensibility and strong security practices. Resource modules use a centralized authentication client, while comprehensive permission management, consistent context handling, error reporting, and logging are built in. The tool is designed for ease of development and extensibility, supporting standardized model context protocols.

    29 9 MCP
  • 33
    Vercel AI SDK Documentation MCP Agent

    Vercel AI SDK Documentation MCP Agent

    AI-powered documentation agent for Vercel AI SDK with Model Context Protocol support.

    The Vercel AI SDK Documentation MCP Agent is a server implementing the Model Context Protocol to enable AI-powered search and conversational querying of the Vercel AI SDK documentation. It features natural language understanding, semantic search using FAISS, and session-based context management for in-depth assistance. Integration with popular MCP clients like Claude Desktop and Cursor ensures seamless use in developer workflows. Automated documentation indexing and a Gemini-powered agent enhance accuracy and contextuality of responses.

    41 8 MCP
  • 34
    Package Registry MCP Server

    Package Registry MCP Server

    MCP server for searching and retrieving package registry information.

    Package Registry MCP Server provides a Model Context Protocol interface that enables AI assistants and agents such as Claude, Cursor, and Copilot to search and retrieve up-to-date information from major package registries. It supports searching and querying detailed data for NPM, crates.io, NuGet, PyPI, and Go modules directly from the source registries. Integrations are provided for various AI tools, facilitating easy and standardized package data access.

    28 6 MCP
  • 35
    Opik MCP Server

    Opik MCP Server

    A unified Model Context Protocol server for Opik with multi-transport IDE integration.

    Opik MCP Server is an open-source implementation of the Model Context Protocol (MCP) designed for the Opik platform. It enables seamless integration with compatible IDEs and provides a unified interface to manage Opik's features such as prompts, projects, traces, and metrics. Supporting multiple transport mechanisms like stdio and experimental SSE, it simplifies workflow integration and platform management for LLM applications. The tool aims to streamline development and monitoring by offering standardized access and control over Opik's capabilities.

    182 27 MCP
  • 36
    ApeRAG

    ApeRAG

    Hybrid RAG platform with MCP integration for intelligent knowledge management

    ApeRAG is a production-ready Retrieval-Augmented Generation (RAG) platform that integrates graph-based, vector, and full-text search capabilities. It enables the construction of knowledge graphs and supports MCP (Model Context Protocol), allowing AI assistants direct interaction with knowledge bases. Features include advanced document parsing, multimodal processing, intelligent agent workflows, and enterprise management tools. Deployment is streamlined via Docker and Kubernetes, with extensive support for customization and scalability.

    920 96 MCP
  • 37
    Weaviate MCP Server

    Weaviate MCP Server

    A server implementation for the Model Context Protocol (MCP) built on Weaviate.

    Weaviate MCP Server provides a backend implementation of the Model Context Protocol, enabling interaction with Weaviate for managing, inserting, and querying context objects. The server facilitates object insertion and hybrid search retrieval, supporting context-driven workflows required for LLM orchestration and memory management. It includes tools for building and running a client application, showcasing integration with Weaviate's vector database.

    157 38 MCP
  • 38
    Unitree Go2 MCP Server

    Unitree Go2 MCP Server

    Control Unitree Go2 robot using natural language via Model Context Protocol.

    Unitree Go2 MCP Server is a server implementation based on the Model Context Protocol (MCP) that enables natural language command of the Unitree Go2 robot, interpreted by a large language model and translated into ROS2 instructions. This tool bridges AI-driven intent parsing with robot control through well-defined MCP functions. It includes configuration instructions for ROS2 environments, flexible integration with Claude Desktop and other AI systems, and direct interaction with the robot using contextual commands.

    55 10 MCP
  • 39
    Octomind MCP Server

    Octomind MCP Server

    Let agents create and manage automated end-to-end tests with Octomind.

    Octomind MCP Server enables agents to interact with Octomind's end-to-end testing platform, allowing the creation, execution, and management of automated tests. It provides a server that integrates with various clients and allows for configuration, session management, and access to multiple testing tools and resources. The server supports extensible session storage options and integrates with external platforms like TestRail and Redis for advanced scenarios. It is designed to facilitate local development and enhance test management workflows.

    21 9 MCP
  • 40
    MCP-NixOS

    MCP-NixOS

    Stop AI hallucinations about NixOS packages—get accurate, real-time information.

    MCP-NixOS is a Model Context Protocol server designed to provide AI assistants with accurate, up-to-date information about NixOS packages, configuration options, Home Manager settings, and nix-darwin configurations. By interfacing with NixOS and NixHub.io, it enables detailed package search, version history, and configuration queries, drastically reducing AI-generated inaccuracies. It works cross-platform and can be deployed via different methods including uvx, Nix, and Docker.

    328 17 MCP
  • 41
    JSR MCP

    JSR MCP

    A Model Context Protocol server enabling full JSR registry access and LLM integration.

    JSR MCP provides a Model Context Protocol (MCP) server designed for robust interaction with the JSR (JavaScript Registry) via Deno. It enables large language models (LLMs) to search, retrieve, and manage JavaScript packages, scopes, users, and registry metadata. The server exposes 40 comprehensive tools for operations such as searching packages, managing versions, handling scopes and permissions, and accessing authentication-secured functionality. Ideal for integrating JSR operations into automated systems or AI model workflows.

    0 1 MCP
  • 42
    dolphindb-mcp-server

    dolphindb-mcp-server

    A FastMCP-compatible server plugin for DolphinDB database operations.

    dolphindb-mcp-server provides a plugin service enabling external tools to interact with DolphinDB databases through standardized MCP interfaces. The server exposes commonly used functions for listing databases and tables, querying table disk usage, and executing scripts via the FastMCP protocol. It supports flexible installation methods and environment configuration, allowing seamless integration with LLM toolchains or MCP frontends.

    4 3 MCP
  • 43
    Shrimp Task Manager

    Shrimp Task Manager

    Intelligent task management for AI-powered development workflows.

    Shrimp Task Manager is an MCP (Model Context Protocol) server designed to enhance AI-driven software development by persisting project context, breaking down complex tasks, and guiding structured workflows. It integrates with MCP-compatible clients such as Claude Code to maintain task memory across sessions and streamline planning and execution. The system enables persistent memory, context preservation, and automated task decomposition, helping AI models work more efficiently and effectively within project constraints.

    1,868 230 MCP
  • 44
    Crypto RSS MCP

    Crypto RSS MCP

    Real-time cryptocurrency news aggregation and AI context enrichment via MCP.

    Crypto RSS MCP serves as a Model Context Protocol (MCP) server that aggregates real-time cryptocurrency news from a variety of RSS feeds. It offers features such as keyword filtering, OPML feed import, and output formatting designed for ingestion by AI agents. The tool enables seamless integration with Large Language Models through custom prompts for summarizing news content and detecting market trends, aiding decision making in volatile crypto markets.

    8 5 MCP
  • 45
    Rust Docs MCP Server

    Rust Docs MCP Server

    Serving up-to-date Rust crate documentation as an MCP server for coding assistants.

    Rust Docs MCP Server provides AI coding assistants with a focused tool to query current documentation for specific Rust crates. It runs as a standard MCP server over stdio, enabling context-driven semantic searches and LLM-generated answers based only on retrieved documentation. It fetches crate docs, generates embeddings, and leverages OpenAI APIs for accurate and relevant code support, with support for caching and multi-crate operation.

    208 30 MCP
  • 46
    Redis Cloud API MCP Server

    Redis Cloud API MCP Server

    Natural language interface for managing Redis Cloud via Model Context Protocol

    Provides a Model Context Protocol (MCP) server that enables users to manage Redis Cloud resources and accounts using natural language commands. Supports integration with clients such as Claude Desktop and Cursor IDE, facilitating operations such as creating databases, managing subscriptions, retrieving billing information, and monitoring tasks. Offers standardized endpoints to simplify cloud provider and plan selection, as well as database module configuration and task tracking.

    37 16 MCP
  • 47
    CockroachDB MCP Server

    CockroachDB MCP Server

    Natural language interface for managing CockroachDB via MCP protocol

    CockroachDB MCP Server enables natural language interactions with CockroachDB, integrating with Model Context Protocol (MCP) clients. It supports comprehensive database management, cluster monitoring, and SQL operations through standardized tools. Designed for LLMs and agentic applications, it facilitates seamless AI-driven workflows to query, manipulate, and monitor CockroachDB databases. The system emphasizes performance, scalability, and easy integration with popular LLM tools.

    6 3 MCP
  • 48
    Kubectl MCP Server

    Kubectl MCP Server

    Natural language Kubernetes management for AI assistants using the Model Context Protocol.

    Kubectl MCP Server enables AI assistants such as Claude and Cursor to interact with Kubernetes clusters using natural language through the Model Context Protocol (MCP). It supports a wide range of Kubernetes operations including resource management, Helm integration, monitoring, diagnostics, and advanced security features. The server is designed to handle context-aware commands, maintain session memory, and provide intelligent command construction and explanations. Integration with multiple AI assistants and flexible transport protocols are supported for a seamless user experience.

    734 137 MCP
  • 49
    MongoDB MCP Server

    MongoDB MCP Server

    A Model Context Protocol server for enabling LLM interaction with MongoDB databases.

    MongoDB MCP Server empowers language models to interface directly with MongoDB databases using the Model Context Protocol (MCP). It enables natural language querying and management of collections, documents, and indexes. Users can inspect database schemas, execute document operations, and manage indexes seamlessly. The tool integrates with clients like Claude Desktop for conversational database management.

    172 33 MCP
  • 50
    Aiven MCP Server

    Aiven MCP Server

    Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.

    Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.

    11 11 MCP

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