MCPR alternatives

1

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

2

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

3

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

4

Box MCP Server (Remote)

Securely connect AI agents to Box content and Box AI using the Model Context Protocol.

Box MCP Server (Remote) enables AI agent platforms to securely interact with Box data and AI-powered tools via the Model Context Protocol. It supports OAuth-based authentication and provides various capabilities, including user identification, file and folder operations, and access to Box AI tools. The service exposes an endpoint for easy integration by MCP-compatible clients while ensuring data never leaves the Box environment. It offers both admin console and developer console setup options and comprehensive documentation for connection.

0 3 MCP

5

MCP Server for Data Exploration

Interactive Data Exploration and Analysis via Model Context Protocol

MCP Server for Data Exploration enables users to interactively explore and analyze complex datasets using prompt templates and tools within the Model Context Protocol ecosystem. Designed as a personal Data Scientist assistant, it facilitates the conversion of raw data into actionable insights without manual intervention. Users can load CSV datasets, run Python scripts, and generate tailored reports and visualizations through an AI-powered interface. The server integrates directly with Claude Desktop, supporting rapid setup and seamless usage for both macOS and Windows.

503 63 MCP

6

MetaTrader MCP Server

Let AI assistants trade for you using natural language.

MetaTrader MCP Server is a bridge that connects AI assistants such as Claude and ChatGPT to the MetaTrader 5 trading platform via the Model Context Protocol (MCP). It enables users to perform trading actions on MetaTrader 5 through natural language instructions. The system supports real-time data access, full account management, and secure local credential handling, offering both MCP and REST API interfaces.

120 34 MCP

7

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

8

MemoryMesh

A knowledge graph server for structured AI memory and context management.

MemoryMesh is a knowledge graph server designed to help AI models maintain structured, consistent memory, especially for interactive storytelling and RPG contexts. It is based on the Model Context Protocol (MCP), as explicitly stated, and retains core MCP server functionalities. By utilizing dynamic, schema-based configuration, the server enables creation and management of nodes and relationships, offering comprehensive tools for data integrity, feedback, and event tracking. MemoryMesh emphasizes flexibility, supporting both predefined and dynamic schemas for guiding AI interactions.

313 43 MCP

9

Codex MCP Server

An MCP-compatible server delivering enriched blockchain data for AI models.

Codex MCP Server implements the Model Context Protocol to provide enriched blockchain data from Codex. It is compatible with MCP clients such as Claude Desktop and Claude CLI, allowing seamless integration in AI workflows that require blockchain context. Users can run the server locally or via npx, and configure it for various MCP-compatible tools using their Codex API key.

20 4 MCP

10

Smart Tree

Lightning Fast Directory Visualization and AI-Enabled Context Compression.

Smart Tree is a high-performance directory visualization tool built with Rust, offering advanced context management and AI-integrated features. It supports persistent memory anchoring, compressed context formats for reduced token usage, and real-time, interactive terminal UI via Spicy TUI mode. The tool provides programmatic hooks for MCP compliance, enabling AI assistants to recall and leverage project insights efficiently.

175 15 MCP

11

Webpage Screenshot MCP Server

Capture web page screenshots programmatically for AI agent workflows.

Webpage Screenshot MCP Server enables the capture of webpage and element screenshots using Puppeteer, providing a Model Context Protocol-compliant interface for AI agents. It supports various image formats, flexible authentication, and session persistence to facilitate integration with tools like Claude and Cursor. The server simplifies visual verification and monitoring of web applications by returning base64-encoded screenshots through customizable options. It also allows manual login workflows and multi-step web interactions with session continuity.

44 4 MCP

12

Agent-MCP

Multi-Agent Collaboration Protocol for Coordinated AI Software Development

Agent-MCP enables advanced multi-agent orchestration for AI-driven software development, allowing specialized agents to collaborate via a shared persistent context. Its system manages parallel execution, persistent memory graphs, and real-time task coordination with robust visualization tools. Designed for experienced developers, it features intelligent task management and conflict prevention for scalable and complex codebases. The protocol emphasizes maintaining and sharing context among agents through standardized mechanisms.

1,021 124 MCP

13

Code Assistant

AI coding assistant with multi-modal tool execution and MCP integration

Code Assistant is an AI-powered coding assistant written in Rust that provides both command-line and graphical user interfaces for autonomous code analysis and modification. It supports multi-modal tool invocation, real-time streaming, and session-based project management. The tool features full Model Context Protocol (MCP) compatibility, enabling seamless integration with MCP clients, and offers advanced project-level configuration and formatting capabilities.

110 18 MCP

14

mcp

Universal remote MCP server connecting AI clients to productivity tools.

WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

27 6 MCP

15

mcp-server-js

Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.

YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.

31 13 MCP

16

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

17

Desktop Commander MCP

AI-powered local tool for managing files, processes, and terminals using Model Context Protocol.

Desktop Commander MCP enables users to search, manage files, run terminal commands, and automate development tasks through Model Context Protocol (MCP). It offers interactive process management, in-memory code execution, advanced file operations, pattern-based file editing, and comprehensive audit logging. Built on top of MCP Filesystem Server, it integrates multiple developer tools within a conversational interface, supporting enhanced process control and efficient workflow automation.

4,883 541 MCP

18

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

19

Redis MCP Server

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.

325 75 MCP

20

liveblocks-mcp-server

Enable AI models to interact with Liveblocks via standardized MCP server endpoints.

liveblocks-mcp-server provides a Model Context Protocol (MCP) server allowing AI clients to access, create, modify, and delete resources within Liveblocks such as rooms, threads, comments, and notifications. The server also offers read access to Liveblocks Storage and Yjs, making it easier for AI interfaces to manage collaborative features through Liveblocks’ REST API. Integration is supported for various clients including Cursor, Claude Desktop, and VS Code. Secure authentication is handled via project-specific secret keys.

11 8 MCP

21

Jupyter MCP Server

Real-time, context-aware MCP server for managing and interacting with Jupyter Notebooks.

Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) designed to enable AI-driven, real-time management and interaction with Jupyter Notebooks. It offers context-aware capabilities, smart execution features, and multimodal output handling, seamlessly integrating with JupyterLab and supporting multiple notebooks simultaneously. The server is compatible with any MCP client and can work with local or hosted Jupyter deployments.

765 127 MCP

22

Octocode MCP

Enterprise-grade AI context server for codebase research and analysis.

Octocode MCP is a Model Context Protocol (MCP) server designed to enable AI assistants to search, analyze, and extract insights from millions of GitHub repositories with high security and token efficiency. It offers intelligent orchestration for deep code research, planning, and agentic workflows, streamlining the process of building and understanding complex software projects. The platform features robust tools and commands, such as /research for expert code research, designed to support developers and AI systems with context-rich information.

577 45 MCP

23

Mindpilot MCP

Visualize and understand code structures with on-demand diagrams for AI coding assistants.

Mindpilot MCP provides AI coding agents with the capability to visualize, analyze, and understand complex codebases through interactive diagrams. It operates as a Model Context Protocol (MCP) server, enabling seamless integration with multiple development environments such as VS Code, Cursor, Windsurf, Zed, and Claude Code. Mindpilot ensures local processing for privacy, supports multi-client connections, and offers robust configuration options for server operation and data management. Users can export diagrams and adjust analytics settings for improved user control.

61 8 MCP

24

mcp-v8

Expose a secure V8 JavaScript runtime to AI agents via the Model Context Protocol

mcp-v8 is a Rust-based server that implements the Model Context Protocol, providing a secure and isolated V8 JavaScript runtime for AI agents like Claude and Cursor. It supports persistent heap snapshots using S3 or a local filesystem and offers both stateless and stateful execution modes. The server is easily configurable, supporting multiple transports such as stdio, HTTP, and Server-Sent Events for flexible integration. Designed for modern AI development environments, it enables seamless context handling and interoperability for agent tools.

23 4 MCP

25

mcpmcp-server

Seamlessly discover, set up, and integrate MCP servers with AI clients.

mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

17 6 MCP

26

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

27

Postmancer

A standalone MCP server for API testing and management via AI assistants.

Postmancer is a Model Context Protocol (MCP) server designed to facilitate API testing and management through natural language interactions with AI assistants. It enables HTTP requests, organizes API endpoints into collections, and provides tools for managing environment variables, authentication, and request history. Postmancer is particularly aimed at integrating with AI platforms like Claude for seamless, automated API workflows.

28 4 MCP

28

MCP GitLab Jira Server

MCP server for seamless GitLab and Jira integration

MCP GitLab Jira Server acts as a bridge, enabling AI agents to interact programmatically with GitLab and Jira instances via the Model Context Protocol. It provides a standardized server interface for operations on projects, merge requests, pipelines, branches, issues, releases, and users in GitLab, as well as tickets and project management features in Jira. The server can be run as a CLI tool or in a Docker container, making it compatible with tools like gemini-cli. Configuration via environment variables allows secure authentication and flexible deployment.

6 4 MCP

29

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

30

mcp-server-atlassian-jira

Seamlessly connect AI assistants to Jira for project and issue management via Model Context Protocol.

Enables AI assistants like Claude and Cursor to interact directly with Atlassian Jira projects, issues, and workflows using the Model Context Protocol (MCP). Provides standardized context and actions such as querying project status, searching issues, and managing comments through a command-line MCP server. Designed for integration with multiple AI tools, allowing natural language project interaction and instant workflow insights.

39 16 MCP

31

1mcp-app/agent

A unified server that aggregates and manages multiple Model Context Protocol servers.

1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

96 14 MCP

32

Currents MCP Server

Connect AI agents to test results context via Currents MCP Server.

Currents MCP Server provides a standardized Model Context Protocol (MCP) server for integrating test results and debugging data into AI agents. It enables seamless communication between CI test data in Currents and AI-powered tools, such as Cursor Editor and Claude Desktop, facilitating actions like test optimization and failure diagnosis. The server exposes a suite of tools for retrieving detailed project, run, and performance metrics and is easily configurable via command-line for development and integration. Secure handling of API keys and support for local development are included.

14 6 MCP

33

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

34

Azure Resource Graph MCP Server

MCP server for querying Azure Resource Graph across subscriptions

Azure Resource Graph MCP Server enables users to perform Azure Resource Graph queries via the Model Context Protocol, offering seamless access to Azure resource information across multiple subscriptions. It supports both default and custom queries and integrates with development environments like Cursor IDE and Visual Studio Code. The server authenticates using Azure credentials and facilitates efficient retrieval of resource details such as resource ID, name, type, and location.

13 7 MCP

35

Neovim MCP Server

Connect AI assistants to Neovim via the Model Context Protocol.

Neovim MCP Server enables seamless integration between Neovim instances and AI assistants by implementing the Model Context Protocol (MCP). It allows for multi-connection management, supports both stdio and HTTP server transport modes, and provides access to structured diagnostic information via URI schemes. With LSP integration, plugin support, and an extensible tool system, it facilitates advanced interaction with Neovim for context-aware AI workflows.

20 3 MCP

36

GitMCP

Instantly turn any GitHub repository into an AI-ready documentation hub.

GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that gives AI assistants real-time access to the latest documentation and code from any GitHub repository. It transforms any GitHub project into an accessible documentation hub, enabling AI tools to deliver accurate results, reduce hallucinations, and improve code correctness. Supporting both specific and generic server modes, it allows seamless integration into developer workflows with zero setup. GitMCP emphasizes privacy, flexibility, and up-to-date information retrieval.

6,916 571 MCP

37

dbt MCP Server

Bridge dbt projects and AI agents with rich project context.

dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

420 90 MCP

38

Memcord

Privacy-first, self-hosted chat memory and context management for Claude and AI applications.

Memcord serves as a self-hosted MCP (Model Context Protocol) server that enables users to securely organize, summarize, and search through their chat history with AI, especially for Claude, without compromising privacy. It offers intelligent memory management, conversation auto-summarization, deduplication, and context merging to build a searchable knowledge base across multiple conversations. Memcord also integrates seamlessly with Claude Desktop, VSCode, and supports various installation methods for flexibility.

18 5 MCP

39

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

40

awslabs/mcp

Specialized MCP servers for seamless AWS integration in AI and development environments.

AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

6,220 829 MCP

41

Pica MCP Server

A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.

Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

8 5 MCP

42

Neo4j MCP Clients & Servers

Seamless natural language and knowledge graph integration for Neo4j via Model Context Protocol.

Neo4j MCP Clients & Servers provide standardized interfaces that enable large language models and AI assistants to interact with Neo4j databases and cloud services using natural language through the Model Context Protocol (MCP). It includes multiple servers for translating natural language to Cypher queries, managing graph memory, handling Neo4j Aura cloud services, and supporting interactive data modeling. Multiple transport modes such as STDIO, HTTP, and SSE offer flexibility for various deployments including cloud and local environments.

797 209 MCP

43

Druid MCP Server

Comprehensive Model Context Protocol server for advanced Apache Druid management and analytics

Druid MCP Server provides a fully MCP-compliant interface for managing, analyzing, and interacting with Apache Druid clusters. Leveraging tools, resources, and AI-assisted prompts, it enables LLM clients and AI agents to perform operations such as time series analysis, statistical exploration, and data management through standardized protocols. The server is built with a feature-based architecture, offers real-time communication via multiple transports, and includes automatic discovery and registration of MCP components.

9 4 MCP

44

Winx Agent

High-performance Rust agent for AI code execution and context management with Model Context Protocol support.

Winx Agent is a Rust implementation of WCGW, offering advanced shell execution and file management for large language model code agents. It delivers high-performance, multi-provider AI integration, including automatic fallbacks and code analysis capabilities. Designed for seamless integration with Claude and other LLMs, it leverages the Model Context Protocol (MCP) for standardized context handling. Multiple operational modes, advanced file operations, and interactive shell support make it suitable for robust AI-driven code workflows.

21 8 MCP

45

JVM MCP Server

Lightweight multi-agent protocol server for JVM monitoring and diagnostics.

JVM MCP Server provides a lightweight, zero-dependency server that implements the Multi-Agent Communication Protocol for monitoring and diagnosing Java applications. It leverages native JDK tools to enable powerful AI agent interactions for gathering JVM metrics, analyzing memory and threads, and performing advanced diagnostics without relying on third-party software. The server supports both local and remote Java environments through SSH, ensuring cross-platform compatibility and secure operation.

71 15 MCP

46

Mermaid MCP Server

AI-powered natural language to Mermaid diagram server via Model Context Protocol

Mermaid MCP Server enables seamless integration with AI assistants, allowing users to generate professional architecture diagrams, flowcharts, and more using natural language. It implements the Model Context Protocol (MCP), providing a standardized interface for AI tools like GitHub Copilot and Claude to interact with diagram generation workflows. The server offers over 50 pre-built templates, fast SVG rendering, and broad integration support across VS Code, CLI, and desktop applications.

3 1 MCP

47

Portainer MCP

Connect AI assistants securely to Portainer environments using the Model Context Protocol.

Portainer MCP is an implementation of the Model Context Protocol (MCP) designed for seamless integration between AI assistants and Portainer-managed container environments. It enables management of Portainer resources and allows execution of Docker and Kubernetes commands through AI interfaces in a secure, standardized manner. The tool provides direct protocol-based access to environment data, facilitating automation and operational insights for container infrastructures.

81 16 MCP

48

OpsLevel MCP Server

Read-only MCP server for integrating OpsLevel data with AI tools.

OpsLevel MCP Server implements the Model Context Protocol to provide AI tools with a secure way to access and interact with OpsLevel account data. It supports read-only operations for a wide range of OpsLevel resources such as actions, campaigns, checks, components, documentation, domains, and more. The tool is compatible with popular environments including Claude Desktop and VS Code, enabling easy integration via configuration and API tokens. Installation options include Homebrew, Docker, and standalone binaries.

8 7 MCP

49

cloudflare/mcp-server-cloudflare

Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

2,919 251 MCP

50

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

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