Alibaba Cloud Tablestore MCP Servers - Alternatives & Competitors

Ranked by Relevance

• 1
  

  Agentset MCP

  Open-source MCP server for Retrieval-Augmented Generation (RAG) document applications.

  Agentset MCP provides a Model Context Protocol (MCP) server designed to power context-aware, document-based applications using Retrieval-Augmented Generation. It enables developers to rapidly integrate intelligent context retrieval into their workflows and supports integration with AI platforms such as Claude. The server is easily installable via major JavaScript package managers and supports environment configuration for namespaces, tenant IDs, and tool descriptions.

  22 10 MCP
• 2
  

  Ragie Model Context Protocol Server

  Seamless knowledge base retrieval via Model Context Protocol for enhanced AI context.

  Ragie Model Context Protocol Server enables AI models to access and retrieve information from a Ragie-managed knowledge base using the standardized Model Context Protocol (MCP). It provides a retrieve tool with customizable query options and supports integration with tools like Cursor and Claude Desktop. Users can configure API keys, specify partitions, and override tool descriptions. Designed for rapid setup via npx and flexible for project-specific or global usage.

  81 18 MCP
• 3
  

  Quarkus Model Context Protocol Servers

  Extensible Java-based servers implementing the Model Context Protocol for context-aware LLM integrations.

  Quarkus Model Context Protocol Servers offers a collection of Java-based servers implementing the Model Context Protocol (MCP) to extend the capabilities of language model applications. Built with the Quarkus MCP server framework, it enables integration with JDBC databases, JVM processes, file systems, JavaFX, Kubernetes, containers, and Wolfram Alpha. The project allows easy deployment and extension of context-aware services for AI applications via MCP. Its servers can be run across different environments using jbang and are easily extensible for new capabilities.

  176 46 MCP
• 4
  

  Driflyte MCP Server

  Bridging AI assistants with deep, topic-aware knowledge from web and code sources.

  Driflyte MCP Server acts as a bridge between AI-powered assistants and diverse, topic-aware content sources by exposing a Model Context Protocol (MCP) server. It enables retrieval-augmented generation workflows by crawling, indexing, and serving topic-specific documents from web pages and GitHub repositories. The system is extensible, with planned support for additional knowledge sources, and is designed for easy integration with popular AI tools such as ChatGPT, Claude, and VS Code.

  9 2 MCP
• 5
  

  Airtable MCP Server

  Advanced AI-powered server enabling enterprise-grade automation and analytics for Airtable through MCP.

  Airtable MCP Server is an AI-enhanced MCP-compliant server designed to provide seamless integration with Airtable databases. It offers intelligent automation, predictive analytics, natural language querying, and comprehensive schema management, powered by a robust TypeScript architecture. The solution is equipped with multi-base support, enterprise-level security, and advanced governance, making it suitable for diverse workflow automation and analytics scenarios.

  45 17 MCP
• 6
  

  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
• 7
  

  Model Context Protocol Servers (Archived)

  Archived reference implementations of Model Context Protocol servers for various data sources.

  Provides historical reference implementations of servers that demonstrate features and SDK capabilities of the Model Context Protocol (MCP). Covers integrations with a variety of services such as AWS KB Retrieval, Brave Search, GitHub, Google Drive, PostgreSQL, Redis, and more. These implementations are no longer maintained and are intended solely for archival and educational purposes.

  180 108 MCP
• 8
  

  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
• 9
  

  airtable-mcp-server

  MCP server providing LLMs with read/write access to Airtable databases.

  airtable-mcp-server enables language models to inspect Airtable schemas and interact with Airtable databases through the Model Context Protocol (MCP). It provides tools for listing, reading, and writing records, allowing integration with environments like Claude Desktop, Cursor, and Cline. The solution uses user-provided Airtable API keys for authentication, supporting secure access and manipulation of Airtable data via standardized MCP-compatible clients.

  343 119 MCP
• 10
  

  RAG Documentation MCP Server

  Vector-based documentation search and context augmentation for AI assistants

  RAG Documentation MCP Server provides vector-based search and retrieval tools for documentation, enabling large language models to reference relevant context in their responses. It supports managing multiple documentation sources, semantic search, and real-time context delivery. Documentation can be indexed, searched, and managed with queueing and processing features, making it highly suitable for AI-driven assistants. Integration with Claude Desktop and support for Qdrant vector databases is also available.

  238 29 MCP
• 11
  

  OpenLink MCP Server for JDBC

  A lightweight Java-based MCP server enabling model context protocol integration with any JDBC-compatible database.

  OpenLink MCP Server for JDBC provides a Java-based implementation of the Model Context Protocol (MCP), facilitating structured, context-aware interactions with relational databases via JDBC. It supports a variety of database operations, including schema and table discovery, table element descriptions, SQL query execution in multiple formats, and Virtuoso-specific features. Easily configurable and designed for integration with tools like Claude Desktop, it enables model-context-aware applications to access and manage database content effectively.

  8 7 MCP
• 12
  

  mcp-server-tidb

  MCP server implementation for TiDB serverless databases.

  mcp-server-tidb provides an implementation of the Model Context Protocol (MCP) for TiDB, enabling integration with serverless TiDB databases. It supports configuration through environment variables or .env files and connects with applications such as Claude Desktop via standardized configuration. The server facilitates managing context between conversational AI models and a TiDB backend in a consistent and standardized way.

  22 6 MCP
• 13
  

  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
• 14
  

  Trino MCP Server

  Expose Trino tables and querying via the Model Context Protocol.

  Trino MCP Server acts as an MCP-compatible interface, allowing users to query and list tables from Trino using Python. It bridges Trino's distributed SQL engine with the Model Context Protocol, exposing Trino tables as MCP resources. The server supports executing arbitrary SQL queries against Trino through a standardized protocol. It uses environment variable configuration for seamless integration and is built to interface with the broader MCP ecosystem.

  18 9 MCP
• 15
  

  Postgres MCP Pro

  A Model Context Protocol server for advanced PostgreSQL management, tuning, and AI-powered context.

  Postgres MCP Pro is an open-source Model Context Protocol (MCP) server designed to enhance the entire PostgreSQL lifecycle, from development and testing to production tuning and maintenance. It provides deep database health analysis, intelligent index tuning, query plan optimization, schema-aware SQL generation, and safe SQL execution with robust access controls. The solution supports both standard input/output and server-sent events transports, enabling integration with AI agents for automated or context-aware database operations.

  1,487 166 MCP
• 16
  

  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
• 17
  

  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
• 18
  

  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
• 19
  

  mindsdb

  Connect, unify, and query data at scale with an open-source AI platform.

  MindsDB enables seamless connection to and unification of data from hundreds of enterprise sources, allowing for highly accurate responses across large-scale federated systems. It provides an open-source server with built-in support for the Model Context Protocol (MCP) to facilitate standardized interaction with AI-driven question answering over diverse data sets. The platform offers tools for preparing, organizing, and transforming both structured and unstructured data via knowledge bases, views, and scheduled jobs. Its agent framework and SQL interface empower users to configure data-centric agents, automate workflows, and interact with data conversationally.

  35,487 5,735 MCP
• 20
  

  books-mcp-server

  A server implementation supporting Model Context Protocol integration with cherry-studio.

  books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

  5 2 MCP
• 21
  

  mcp-server-templates

  Deploy Model Context Protocol servers instantly with zero configuration.

  MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.

  5 1 MCP
• 22
  

  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
• 23
  

  MCP Server for Iaptic

  A Model Context Protocol server for accessing and managing Iaptic data with AI agents.

  MCP Server for Iaptic implements the Model Context Protocol to enable AI models, such as Claude, to securely and efficiently interact with Iaptic's customer, purchase, transaction, and statistics data. The server provides a standardized interface and command set for querying and managing information related to customers, purchases, transactions, events, and application management. Designed for integration with Claude Desktop and similar AI clients, it offers both automated and manual installation options.

  5 7 MCP
• 24
  

  Outsource MCP

  Unified MCP server for multi-provider AI text and image generation

  Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.

  26 5 MCP
• 25
  

  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
• 26
  

  Qiniu MCP Server

  Bridge AI models to Qiniu cloud storage and multimedia services via the Model Context Protocol.

  Qiniu MCP Server implements the Model Context Protocol (MCP) to enable AI model clients to seamlessly access Qiniu cloud storage, multimedia, and CDN services within the context of user interactions. It provides capabilities such as bucket and file listing, file uploading, file reading, image processing tasks like resizing and rounded corners, as well as CDN cache operations. The server is designed to be integrated with AI tooling like VS Code's Cline plugin, supporting contextual data access and manipulation via a standardized protocol.

  30 13 MCP
• 27
  

  anyquery

  Universal SQL query engine for files, databases, apps, and LLM integration.

  Anyquery is a SQL query engine that enables users to run SQL queries on a wide array of data sources, including files, databases, and popular applications via plugins. It supports integrations with large language models (LLMs) through the Model Context Protocol (MCP), providing seamless access for AI models to query data. Built on SQLite, it extends functionality with a plugin system and can also function as a MySQL server for compatibility with conventional SQL clients. Its flexible installation options and broad plugin ecosystem allow extensive customization and integration.

  1,298 77 MCP
• 28
  

  magg

  Meta-MCP aggregator and manager for LLM capability extension.

  Magg is a server that implements the Model Context Protocol (MCP), acting as a central aggregator and proxy for multiple MCP servers. It enables Large Language Models (LLMs) to dynamically discover, add, configure, and manage external tools at runtime. By aggregating tools from different MCP servers under unified namespaces, it streamlines capability management and introduces features such as configuration persistence, authentication, and real-time notifications. Magg offers both command-line and Docker deployment, with support for HTTP, stdio, and in-memory transport.

  62 14 MCP
• 29
  

  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
• 30
  

  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
• 31
  

  Telegram MCP Server

  A bridge connecting AI assistants to the Telegram API via the Model Context Protocol.

  Telegram MCP Server facilitates secure and structured interaction between AI assistants and the Telegram API by implementing the Model Context Protocol. It enables AI-powered tools to access, organize, and manage Telegram messages, chats, and user data while maintaining user control and privacy. The server offers capabilities for retrieving messages, managing conversations, sending drafts, and organizing chats, making it a versatile tool for AI integrations with Telegram.

  237 26 MCP
• 32
  

  MCP-Twikit

  A Model Context Protocol server for Twitter search and interaction.

  MCP-Twikit is an MCP-compliant server that enables interaction with the Twitter platform via the Model Context Protocol. It supports functions such as searching tweets, analyzing sentiments across accounts, and retrieving a user's Twitter timeline. The tool is designed for integration with AI clients to facilitate structured, context-aware access to Twitter data.

  211 27 MCP
• 33
  

  code-to-tree

  Universal Code-to-AST MCP Server for LLM Integration

  code-to-tree is an MCP (Model Context Protocol) server that enables large language models to accurately convert source code into abstract syntax trees (AST) across multiple programming languages. It provides a standalone executable that integrates with MCP clients, ensuring seamless parsing using the tree-sitter framework. The server supports languages including C, C++, Rust, Ruby, Go, Java, and Python, with minimal dependencies required. Its design focuses on ease of setup and integration in AI workflows requiring code analysis capabilities.

  66 8 MCP
• 34
  

  FHIR MCP Server

  A Model Context Protocol server for seamless interaction with FHIR resources and AI tools.

  FHIR MCP Server implements a full Model Context Protocol server, enabling large language model agents to perform comprehensive CRUD operations on FHIR-compliant healthcare data. It offers standardized integration with various clinical data sources, natural-language query capabilities, and supports secure authentication via OAuth2. The server includes semantic search, AI-powered document processing, terminology resolution, Docker deployment, and is optimized for use with MCP-compatible clients like Claude Desktop.

  34 5 MCP
• 35
  

  wizzy-mcp-tmdb

  Standardized MCP server to access and search The Movie Database content for AI clients.

  wizzy-mcp-tmdb is a Model Context Protocol (MCP) server implemented in JavaScript, designed to provide AI clients with tools to search and retrieve data from The Movie Database (TMDB). It offers standardized endpoints for multi-search, fetching detailed movie or TV information, and retrieving trending content. The server communicates over stdio and can be easily integrated into MCP-compatible clients via configuration. Comprehensive unit and integration tests ensure reliability across typical and edge-case API uses.

  0 3 MCP
• 36
  

  ACP to MCP Adapter

  Bridge ACP Agents with MCP Applications Seamlessly

  ACP to MCP Adapter is a lightweight standalone server that connects Agent Communication Protocol (ACP) agents to Model Context Protocol (MCP) applications. It enables MCP applications, such as Claude Desktop, to discover and interact with ACP agents as resources by exposing ACP agent runs as MCP tools. The adapter facilitates interoperability with minimal configuration, though it currently treats ACP agents as tools rather than peers and supports only basic content translation.

  30 5 MCP
• 37
  

  OpenMCP

  A standard and registry for converting web APIs into MCP servers.

  OpenMCP defines a standard for converting various web APIs into servers compatible with the Model Context Protocol (MCP), enabling efficient, token-aware communication with client LLMs. It also provides an open-source registry of compliant servers, allowing clients to access a wide array of external services. The platform supports integration with local and remote hosting environments and offers tools for configuring supported clients, such as Claude desktop and Cursor. Comprehensive guidance is offered for adapting different API formats including REST, gRPC, GraphQL, and more into MCP endpoints.

  252 27 MCP
• 38
  

  python-openstackmcp-server

  MCP server enabling AI-powered OpenStack cloud management

  python-openstackmcp-server implements the Model Context Protocol (MCP) to provide an interface for AI assistants to interact seamlessly with OpenStack cloud services. It supports the management of compute, image, identity, network, and block storage resources via the MCP standard, bridging the gap between AI clients and OpenStack APIs. The server connects to the OpenStack SDK and exposes capabilities such as authentication, configuration management, and resource operations for cloud environments.

  15 6 MCP
• 39
  

  Telegram MCP Server

  Full-featured Telegram integration for MCP-compatible clients using Telethon.

  Telegram MCP Server enables programmatic interaction with Telegram through the Model Context Protocol (MCP). It allows automation of messaging, chat and group management, and other essential Telegram operations by exposing an extensive suite of tools via MCP. Designed for seamless integration with platforms like Claude and Cursor, the server is powered by Telethon and supports context-aware interactions with Telegram accounts.

  448 125 MCP
• 40
  

  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
• 41
  

  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
• 42
  

  MCP Rubber Duck

  A bridge server for querying multiple OpenAI-compatible LLMs through the Model Context Protocol.

  MCP Rubber Duck acts as an MCP (Model Context Protocol) server that enables users to query and manage multiple OpenAI-compatible large language models from a unified API. It supports parallel querying of various providers, context management across sessions, failover between providers, and response caching. This tool is designed for debugging and experimentation by allowing users to receive diverse AI-driven perspectives from different model endpoints.

  56 7 MCP
• 43
  

  Product Hunt MCP Server

  Plug-and-play MCP server for accessing Product Hunt data with LLMs and agents.

  Product Hunt MCP Server acts as a bridge between Product Hunt’s API and any agent or LLM that supports the Model Context Protocol (MCP). It enables fast and standardized access to posts, collections, topics, users, comments, and votes on Product Hunt. Built on FastMCP, it ensures seamless compatibility with popular AI tooling like Claude Desktop and Cursor. Integration is straightforward, requiring only a Product Hunt API token and simple configuration.

  33 8 MCP
• 44
  

  MCP Teams Server

  Model Context Protocol server implementation for Microsoft Teams integration.

  MCP Teams Server implements the Model Context Protocol (MCP) to enable integration with Microsoft Teams, allowing for reading, creating, and replying to messages as well as managing mentions and channel members. It offers seamless server capabilities that bridge MCP-compliant tools with Microsoft Teams environments. The solution supports message threading, user mentions, and team/channel context management, enhancing collaboration and automation in Teams. Pre-built Docker images and straightforward deployment options are provided.

  331 27 MCP
• 45
  

  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
• 46
  

  pluggedin-mcp-proxy

  Unified proxy server for Model Context Protocol data exchanges and AI integrations

  Aggregates multiple Model Context Protocol (MCP) servers into a single, unified proxy interface, supporting real-time discovery, management, and orchestration of AI model resources, tools, and prompts. Enables seamless interaction between MCP clients such as Claude, Cline, and Cursor, while integrating advanced document search, AI document exchange, and workspace management. Provides flexible transport modes (STDIO and Streamable HTTP), robust authentication, and comprehensive security measures for safe and scalable AI data exchange.

  87 15 MCP
• 47
  

  iMessage Query MCP Server

  Securely query and analyze your iMessage history with LLMs using the Model Context Protocol.

  iMessage Query MCP Server is an MCP-compliant server that provides safe access to the macOS iMessage database for Large Language Models (LLMs). Built with the FastMCP framework and imessagedb library, it enables querying, validation, and analysis of iMessage conversations, complete with proper phone number handling and permissions management. The tool integrates seamlessly with MCP clients such as Claude Desktop and CLine for VSCode, allowing for controlled retrieval of chat histories via standardized protocols. Enhanced security features and automated dependency management ensure a smooth and safe user experience.

  71 13 MCP
• 48
  

  quran-mcp-server

  MCP server to access Quran.com API with AI tool compatibility.

  quran-mcp-server exposes the Quran.com corpus and associated data through a Model Context Protocol (MCP) server generated from an OpenAPI specification. It provides tool endpoints for chapters, verses, translations, tafsirs, audio, languages, and more. The server is designed for seamless integration with large language models (LLMs) and AI tools, supporting both Docker and Node.js environments. Advanced logging features and flexible deployment options are included for debugging and development.

  49 10 MCP
• 49
  

  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
• 50
  

  Query MCP server for Supabase

  Open-source MCP server for secure and managed Supabase project operations.

  Query MCP server provides an open-source implementation of the Model Context Protocol (MCP) for Supabase, enabling secure execution of SQL, schema management, and project administration directly from compatible IDEs. It offers robust safety measures, runtime SQL validation, and transaction handling, supporting collaboration across MCP clients. The server empowers developers to manage Supabase projects, users, and schema while ensuring built-in safety controls.

  811 99 MCP