Mac Messages MCP - Alternatives & Competitors
Python bridge for macOS Messages via Model Context Protocol.
Mac Messages MCP enables seamless interaction with the macOS Messages app through the Model Context Protocol (MCP). It allows sending and reading messages, intelligently switching between iMessage and SMS/RCS depending on the recipient. The tool is designed for integration with platforms like Cursor and Claude Desktop, supporting features such as contact filtering, fuzzy search, message history access, and iMessage detection. Full Disk Access permission is required, and it can also be connected to Docker containers via a proxy.
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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 -
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iMessage MCP
MCP server enabling LLM integration with macOS iMessage data.
iMessage MCP offers a Model Context Protocol (MCP) server that facilitates seamless integration between large language models (LLMs) and macOS iMessage data. It provides robust tools for searching and managing iMessage messages, conversations, and contacts in a read-only manner. Features include message and contact search, chat listing, and context retrieval, making it suitable for conversational agents and context-aware applications. Built using Deno and designed for easy integration with applications such as Claude Desktop, it handles context management efficiently for AI models.
16 3 MCP -
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MCP Server for Milvus
Bridge Milvus vector database with AI apps using Model Context Protocol (MCP).
MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.
196 57 MCP -
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WhatsApp MCP Server
Bridge WhatsApp messaging to Model Context Protocol-compliant LLM agents.
WhatsApp MCP Server enables users to access, search, and interact with their personal WhatsApp messages through the Model Context Protocol. It connects to WhatsApp via the WhatsApp web multidevice API, stores messages locally in a SQLite database, and exposes them as tools to LLM-powered agents like Claude. Users can also send messages, media, and search contacts, all while retaining control over what is shared with the AI agent.
5,056 786 MCP -
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Homebrew MCP Python Server
Expose Homebrew management as MCP tools for integration with AI clients.
Homebrew MCP Python Server provides an MCP-compliant interface to manage Homebrew packages on macOS via a Python-based server. It enables standardized control of Homebrew commands through the Model Context Protocol, supporting integration with Claude Desktop, Cursor, and other MCP-compatible clients. The server operates via stdio using JSON-RPC 2.0, logs all interactions, and offers a declarative Python implementation. It is designed for seamless tool-chaining, advanced context management, and easy integration into LLM-driven environments.
18 5 MCP -
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Everything Search MCP Server
Fast, cross-platform file search via Model Context Protocol integration.
Everything Search MCP Server provides fast file and folder search capabilities across Windows, macOS, and Linux platforms as an MCP server. It leverages native search utilities such as the Everything SDK on Windows, mdfind on macOS, and locate/plocate on Linux. The tool exposes a standardized search interface with customizable parameters including query, sorting, and matching options. It is suitable for integration with AI clients or automation tools that follow the Model Context Protocol.
268 35 MCP -
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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 -
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mcp-server-chatsum
Summarize and query chat messages using the MCP Server protocol.
mcp-server-chatsum is an MCP Server designed to summarize and query chat messages. It provides tools to interact with chat data, enabling users to extract and summarize message content based on specified prompts. The server can be integrated with Claude Desktop and supports communication over stdio, offering dedicated debugging tools via the MCP Inspector. Environment variable support and database integration ensure flexible deployment for chat data management.
1,024 99 MCP -
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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 -
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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 -
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Bear MCP Server
MCP server for accessing and searching Bear Notes on macOS.
Bear MCP Server is an implementation of the Model Context Protocol that provides programmatic access to notes and tags stored in Bear Notes on macOS. It enables users to read, search, and list notes and tags via standardized MCP tools. The server connects to Bear's SQLite database and exposes essential commands for integration with AI models and workflows.
40 6 MCP -
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Apple Notes MCP Server
Enables Claude Desktop to access and interact with local Apple Notes.
Apple Notes MCP Server reads and provides access to local Apple Notes databases for use in Claude Desktop. It allows querying all notes, retrieving specific note content, and searching notes, facilitating deeper context integration for AI workflows. The server operates under the Model Context Protocol (MCP) and is designed for straightforward installation and integration. Currently, it supports reading and searching but does not handle encrypted notes, attachments, or note creation/editing.
121 14 MCP -
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Slack MCP Server
A feature-rich Model Context Protocol server for integrating Slack Workspaces with AI model context management.
Slack MCP Server acts as a Model Context Protocol (MCP) server tailored for Slack Workspaces, providing flexible integration modes including Stealth and OAuth. It enables advanced functionalities such as fetching channel and thread messages, supporting direct and group messages, smart history retrieval, and robust context management for AI workflows. Communication is supported over Stdio, SSE, and HTTP transports, and the platform includes enhanced features like user information embedding and cache support. Designed for enterprise and individual use, it allows seamless context extraction and management without compromising workspace security.
903 136 MCP -
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dicom-mcp
A Model Context Protocol server for managing and querying DICOM medical imaging data.
dicom-mcp enables AI assistants and tools to query, read, and transfer data on DICOM servers, such as PACS and VNA systems. It integrates with MCP-compatible clients, offering tooling for searching patient records, retrieving medical reports, and sending image data to analysis endpoints. Configurable via YAML, it streamlines operations on DICOM databases for research and development in medical imaging. It is explicitly designed for interoperability with LLM-based AI workflows.
74 21 MCP -
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MySQL MCP Server
Secure MCP interface for MySQL database interaction with AI applications.
MySQL MCP Server implements the Model Context Protocol (MCP) to provide a secure bridge between AI applications and MySQL databases. It enables structured exploration and controlled queries through a standardized communication interface, ensuring safe and logged access to data. Designed for integration with tools such as Claude Desktop and Visual Studio Code, MySQL MCP Server allows users to list, read, and query MySQL tables securely. Environment variable-based configuration and comprehensive logging enhance its reliability for sensitive database interactions.
980 203 MCP -
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spotify-mcp
Connect Claude with Spotify through the Model Context Protocol.
spotify-mcp is an MCP server designed to link Claude-powered AI interfaces with Spotify, enabling advanced music control and information retrieval. It supports actions like starting, pausing, and skipping playback, searching and retrieving details for tracks, albums, artists, and playlists. The project supports managing Spotify queues and playlists, leveraging the official Spotipy API. Configuration guidance for MCP-enabled clients and local/hosted deployment options are provided.
528 101 MCP -
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Langfuse Prompt Management MCP Server
Bridge Langfuse prompts into the Model Context Protocol ecosystem for seamless management and discovery.
Langfuse Prompt Management MCP Server enables users to access and manage prompts stored in Langfuse via standardized endpoints defined by the Model Context Protocol (MCP). It allows prompt discovery, retrieval, and compilation, translating Langfuse's prompt formats into MCP-compliant objects. The server supports cursor-based pagination, exposes a range of prompt-related operations, and includes compatibility features for MCP clients without prompt support. Integration instructions are provided for popular platforms like Claude Desktop and Cursor.
146 37 MCP -
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MCP SQLite Server
A Model Context Protocol server for interacting with SQLite databases.
MCP SQLite Server enables comprehensive interaction with SQLite databases via the Model Context Protocol. It allows users to perform full CRUD operations, explore database schema, and execute custom SQL queries in a standardized, MCP-compatible way. Designed for integration with modern IDEs, it streamlines database management and introspection for developers and AI model workflows.
65 10 MCP -
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Telephony MCP Server
MCP-based telephony server enabling LLMs to make voice calls and send SMS via Vonage.
Telephony MCP Server provides Model Context Protocol-based tools that allow integration of telephony operations, such as voice calls and SMS sending, with Large Language Model applications. Built with Python and leveraging the Vonage API, it exposes callable functions that LLMs can use to interact with the real world. The server defines tools like 'voice_call' and 'send_sms' for secure, programmatic communication via FastAPI interfaces. It is designed for agentic and tool-using AI systems to extend their operational capabilities beyond text generation.
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Couchbase MCP Server
Enable LLMs to interact directly with Couchbase clusters via the Model Context Protocol.
Couchbase MCP Server provides an MCP-compliant server for connecting Large Language Models to Couchbase clusters. It supports various database operations such as bucket and collection listing, document retrieval, upsert, and deletion, as well as running SQL++ queries and retrieving index information. Designed for easy integration with MCP clients like Claude Desktop, it includes features for secure authentication and query mode configuration. The server can be deployed using a prebuilt PyPI package or directly from source.
24 28 MCP -
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SQLite Explorer MCP Server
Secure, read-only access to SQLite databases for LLMs via the Model Context Protocol.
SQLite Explorer MCP Server provides a safe, read-only interface to SQLite databases using the Model Context Protocol (MCP). Built with the FastMCP framework, it enables large language models to explore, query, and retrieve database schema information with robust safety and validation mechanisms. The server exposes structured tools such as read_query, list_tables, and describe_table, ensuring secure and reliable access to database contents. Designed for integration with platforms like Claude Desktop and Cline VSCode Plugin.
93 24 MCP -
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Infobip MCP Servers
Build AI agents that connect to Infobip services via the Model Context Protocol.
Infobip MCP Servers enable AI agents to interact with the Infobip platform using the Model Context Protocol (MCP), supporting communication across various channels like SMS, WhatsApp, Viber, and RCS. The project provides production-grade, remote MCP servers with streamable HTTP and SSE transport options, facilitating messaging, 2FA, customer data management, and user account control. Standardized endpoints and authentication options, including API keys and OAuth 2.1, ensure secure and scalable integration. Usage examples and configuration guides are included for popular agent frameworks.
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mcp-server-duckdb
A Model Context Protocol server enabling SQL access to DuckDB databases.
Implements a Model Context Protocol (MCP) server for DuckDB, allowing structured database interaction via MCP-compliant tools and language models. Offers a unified query tool for executing any SQL statement, with support for read-only mode to ensure data integrity. Flexible configuration options include database path specification and connection management. Easily integrable with applications like Claude Desktop for enhanced local data analysis through LLMs.
171 22 MCP -
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Didlogic MCP Server
Standardized MCP interface for Didlogic API services
Didlogic MCP Server provides a Model Context Protocol-compliant server that enables Large Language Models to interact with Didlogic services through a standardized interface. It supports multiple transport modes, including STDIO, HTTP, and SSE, and offers tools for managing SIP accounts, balances, IP restrictions, and transaction histories. The server ensures secure API access via environment variables or bearer tokens and is easily configurable for LLM platforms, such as Claude.
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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.
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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.
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ntfy-me-mcp
Send real-time notifications from AI assistants to your devices using ntfy and the Model Context Protocol.
ntfy-me-mcp implements a streamlined Model Context Protocol (MCP) server, enabling AI assistants to send real-time notifications to user devices through the ntfy service. It supports both public and self-hosted ntfy instances with token authentication, allowing integration into various AI workflows. The server automatically detects URLs for interactive actions and applies smart markdown formatting to craft rich notifications suitable for important events and task updates.
48 11 MCP -
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mcpxcodebuild
Build and test iOS Xcode projects via the Model Context Protocol server.
mcpxcodebuild is a Model Context Protocol server that enables building and testing iOS Xcode workspace and project files. It facilitates seamless integration with Visual Studio Code extensions such as Cline or Roo Code, allowing remote build and test operations via standardized MCP tools. The tool can be installed using pip or uv and is easily configurable for use with platforms like Claude.app.
76 9 MCP -
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iOS Simulator MCP Server
A Model Context Protocol server for controlling and automating iOS simulators.
Provides a Model Context Protocol (MCP) server that enables interactions with iOS simulators. Allows users to obtain simulator information, automate UI interactions such as tapping, typing, swiping, and retrieve accessibility data. Designed for robust integration with automation, testing, and developer workflows via standardized MCP commands.
1,231 57 MCP -
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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 -
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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 -
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FastMCP SonarQube Metrics
Message-based access to SonarQube data via the Fast Model Context Protocol.
Provides a FastMCP-based framework for programmatically retrieving metrics, project lists, historical data, and issues from SonarQube instances. Facilitates simplified message-based client-server communication, abstracting direct API interactions and enabling automation, reporting, and integration. Supports key actions including project creation, deletion, metric retrieval, and issue listing for SonarQube environments. Designed for developers, DevOps engineers, and analysts seeking to incorporate SonarQube data into broader workflows.
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CallCenter.js MCP + CLI
An MCP server and CLI tool for automated phone calls via VoIP.
CallCenter.js MCP + CLI provides an MCP server, command-line tool, and TypeScript API that enable AI assistants like Claude to make phone calls on behalf of users using VoIP systems. It bridges OpenAI's Real-Time Voice API with SIP-compatible devices or services, supporting real-time voice interactions through standardized models. The tool allows direct control through MCP clients, CLI, or programmatic interfaces to automate and manage voice calls seamlessly. It supports multiple codecs and is compatible with popular VoIP hardware and services.
12 4 MCP -
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ClickHouse MCP Server
An MCP-compliant server for executing and managing SQL queries on ClickHouse and chDB.
ClickHouse MCP Server provides an MCP-compliant interface for executing SQL queries, listing databases, and managing tables on ClickHouse clusters. It supports both direct ClickHouse connections and embedded chDB engines, offering pagination, filtering, and detailed metadata in responses. Integrated health checks and flexible configuration options make it suitable for a variety of deployment scenarios.
592 127 MCP -
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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 -
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MCP Notify Server
Send desktop notifications with sound for completed agent/LLM tasks using the MCP protocol.
MCP Notify Server provides system desktop notifications and sound alerts when AI agent tasks or LLM jobs finish. Built on the standard Model Context Protocol, it is cross-platform and designed for smooth integration with clients like Claude Desktop, Cursor, and VSCode. This tool leverages the Apprise API for notification delivery and includes configuration details for easy adoption across popular AI/LLM development environments.
39 9 MCP -
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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 -
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PythonAnywhere Model Context Protocol Server
Bridge AI-powered tools with PythonAnywhere for secure, programmatic environment management.
PythonAnywhere Model Context Protocol Server implements the MCP, allowing AI clients and automation tools to securely manage files, web apps, and scheduled tasks within a PythonAnywhere account. It offers a standardized interface to perform core operations like editing files, deploying or managing web apps, and handling scheduled jobs with fine-grained access control. Designed for integration with tools such as Claude Desktop, GitHub Copilot, and Cursor, it ensures auditability of actions and supports multiple installation workflows.
8 4 MCP -
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Carbon Voice MCP Server
MCP server integration for Carbon Voice's conversational AI and voice messaging platform.
Carbon Voice MCP Server implements the Model Context Protocol (MCP) to integrate AI assistants with Carbon Voice’s API, offering tools for managing voice messages, conversations, users, folders, and workspaces. It supports both local (Stdio) and cloud (HTTP) deployments, prioritizing security and compliance with OAuth 2.1, HTTPS, and other best practices. The server is compatible with clients like Cursor and Claude Desktop, enabling AI-driven workflows across different environments. Key functionalities include message management, AI prompt handling, user and conversation operations, and attachment support.
4 4 MCP -
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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 -
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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 -
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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 -
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MCP Shell Server
A secure, configurable shell command execution server implementing the Model Context Protocol.
MCP Shell Server provides secure remote execution of whitelisted shell commands via the Model Context Protocol (MCP). It supports standard input, command output retrieval, and enforces strict safety checks on command operations. The tool allows configuration of allowed commands and execution timeouts, and can be integrated with platforms such as Claude.app and Smithery. With robust security assessments and flexible deployment methods, it facilitates controlled shell access for AI agents.
153 42 MCP -
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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 -
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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 -
46
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 -
47
blender-mcp
Seamless integration between Blender and Claude AI using the Model Context Protocol.
BlenderMCP enables direct interaction between Blender and Claude AI by leveraging the Model Context Protocol (MCP). It allows users to create, manipulate, and inspect 3D scenes in Blender through natural language commands sent to Claude, which communicates with Blender via a custom socket server and an addon. The solution features two-way communication, object and material manipulation, code execution within Blender, and easy integration with tools like Cursor, Visual Studio Code, and Claude for Desktop.
13,092 1,232 MCP -
48
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 -
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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 -
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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
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