gget-mcp alternatives

1

opengenes-mcp

Standardized MCP server for aging and longevity genetics data from OpenGenes.

Implements the Model Context Protocol (MCP) to provide a standardized interface for accessing and querying the OpenGenes database, focused on aging and longevity genetics research. Enables AI assistants and agents to perform structured queries on comprehensive experimental, classification, and association data via SQL. Automatically downloads and syncs the latest databases and documentation from Hugging Face for up-to-date information. Seamlessly integrates with multiple MCP clients and is part of the broader Holy Bio MCP bioinformatics ecosystem.

10 2 MCP

2

synergy-age-mcp

MCP server for standardized access to SynergyAge genetic intervention and lifespan data.

Implements the Model Context Protocol (MCP) for the SynergyAge database, enabling AI systems and agents to access, query, and analyze curated synergistic and antagonistic genetic interventions affecting lifespan in model organisms. Provides structured, read-only SQL access to experimentally validated datasets with schema documentation, example queries, and integrated quality assurance. Supports interaction via STDIO, HTTP, and SSE modes, with automatic data updates from the Hugging Face Hub.

8 1 MCP

3

fhir-mcp-server

Model Context Protocol (MCP) Server for seamless AI integration with FHIR healthcare APIs.

fhir-mcp-server implements a Model Context Protocol (MCP) server that integrates Fast Healthcare Interoperability Resources (FHIR) APIs with modern AI and LLM tools. It acts as a bridge between AI clients and healthcare data, enabling secure, context-aware search, retrieval, and management of clinical information. The server supports multiple customizable transports—including HTTP, stdio, and Server-Sent Events (SSE)—and is compatible with a variety of MCP clients such as VS Code, Claude Desktop, and MCP Inspector. Features include SMART-on-FHIR authentication, support for standard FHIR operations, and comprehensive tooling for development and testing.

37 9 MCP

4

servers

Reference implementations and catalog of Model Context Protocol (MCP) servers.

Demonstrates reference implementations and community integrations for the Model Context Protocol (MCP), providing secure and extensible ways for AI models to interact with tools and data sources. Offers a comprehensive catalog of both official and third-party MCP servers covering a wide array of domains, from databases and productivity tools to cloud services and specialized APIs. Enables users to browse, deploy, and contribute MCP server implementations in multiple programming languages, with extensive instructions and examples for setup and integration. Fosters collaboration and growth of the MCP ecosystem through open source contributions and extensive documentation.

66,929 7,841 MCP

5

aws-mcp-server

Bridge AI assistants with AWS CLI using the Model Context Protocol.

AWS MCP Server provides a lightweight service that allows MCP-aware AI assistants—such as Claude Desktop, Cursor, and Windsurf—to securely execute AWS CLI commands and retrieve AWS documentation through the Model Context Protocol. It acts as an interface between AI tools and the AWS CLI, incorporating robust security features, multi-architecture Docker deployment, and customizable command validation. The solution emphasizes secure handling of AWS credentials, IAM least-privilege enforcement, and pre-defined prompt templates for common AWS operations.

161 26 MCP

6

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

7

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

8

medical-mcp

Aggregated medical knowledge and statistics from authoritative sources via Model Context Protocol.

Medical MCP Server implements the Model Context Protocol (MCP) to provide comprehensive medical information by integrating data from FDA, WHO, PubMed, RxNorm, and Google Scholar. It offers specialized tools for drug information, health statistics, drug nomenclature, and academic literature search. The server exposes a standardized interface for MCP-compatible clients and ensures robust error handling and web scraping protection. It supports connecting to multiple medical APIs for up-to-date, authoritative insights.

16 7 MCP

9

mcp-cyclops

Abstract Kubernetes complexity for AI agents with Model Context Protocol.

Cyclops MCP enables AI agents to safely manage Kubernetes applications by providing a Model Context Protocol (MCP) server. It abstracts Kubernetes resources into high-level Cyclops Modules, reducing the risk of misconfiguration and streamlining application deployment and updates. The server offers tools for creating, updating, and managing modules and templates, and integrates easily with popular AI agent interfaces.

29 3 MCP

10

omop_mcp

LLM-powered server for mapping clinical terms to OMOP concepts using the Model Context Protocol.

OMOP MCP Server implements the Model Context Protocol (MCP) for mapping clinical terminology to OMOP standard concepts using Large Language Models. It provides tools for validating and searching OMOP vocabularies, supporting terminology conversion and enhancing mapping accuracy through context-aware prompts. Configuration support for integration with Claude Desktop and preference for specific vocabularies is included. The server offers detailed mapping responses to streamline medical data standardization.

4 1 MCP

11

mcp-browser-kit

Connect your AI assistant to local browsers via MCP.

MCP Browser Kit acts as a server implementing the Model Context Protocol (MCP), allowing AI assistants to securely interact with users' local browsers. It provides browser extension builds for Chrome, Brave, Edge, Firefox, and Safari, supporting different levels of integration. The kit enables AI-driven automation and context-aware interactions within browser environments. Users are advised to isolate browser data for security while leveraging the server's capabilities.

31 5 MCP

12

mcp

Automate your browser with AI using Model Context Protocol.

Browser MCP is an MCP server and Chrome extension enabling users to automate their browser through integration with AI applications such as VS Code, Claude, Cursor, and Windsurf. It executes automation tasks locally for enhanced speed, privacy, and seamless usage of the existing browser profile. The project emphasizes user privacy, retained logged-in sessions, and stealthy operation that can bypass common automation detection methods. Adapted from Playwright MCP, it focuses on leveraging the user's active browser profile for efficient and undetectable automation.

4,094 287 MCP

13

web-search

A Model Context Protocol server enabling web search via Google without API keys.

Web Search MCP Server is a Model Context Protocol server that enables free web searching through Google by scraping public search results, bypassing the need for API keys or authentication. It returns structured search results including titles, URLs, and descriptions, and allows users to configure the number of results per query. Designed to integrate easily with various MCP-compatible tools, it offers straightforward configuration for development environments like VSCode and Claude Desktop. The tool is intended for personal use and implements rate limiting guidance to comply with responsible usage.

277 96 MCP

14

mcp-aoai-web-browsing

Bridge Model Context Protocol with Azure OpenAI and web browsing automation.

Implements an MCP (Model Context Protocol) server and client to enable secure, controlled AI interactions with web resources using Azure OpenAI and Playwright. Utilizes FastMCP for server-side handling and converts MCP responses to OpenAI function calling format. Integrates a custom MCP-LLM Bridge for seamless communication between MCP and OpenAI-compatible models, supporting advanced web automation tasks. Provides a minimal yet extensible example for combining protocol-driven AI, cloud LLM services, and browser automation.

30 10 MCP

15

ashra-mcp

A Model Context Protocol server tailored for Ashra integration.

Ashra MCP provides a server implementation of the Model Context Protocol (MCP) designed to enable Ashra's integration with tools like Claude. It allows seamless context management and communication with AI models using standardized protocols. Users can configure it as an MCP server in Claude, supplying an Ashra API key and connecting via the generated build. This solution facilitates interoperability and extensibility for Ashra-based workflows within environments supporting the MCP.

40 8 MCP

16

bilibili-mcp-js

Standardized Bilibili video search server based on Model Context Protocol.

Provides a Bilibili video search server that implements the Model Context Protocol (MCP), offering standardized API endpoints for querying video data. Supports features like paginated search, returning video details (title, author, views, duration), and showcases integration examples with LangChain. Designed to be used as an MCP-compliant service within larger AI-driven applications or pipelines. Includes setup instructions and testing scripts for both bun and npm ecosystems.

116 21 MCP

17

yutu

Fully automated YouTube workflow automation tool and MCP server.

Yutu is a fully functional Model Context Protocol (MCP) server and CLI tool designed to automate YouTube workflows. It enables manipulation of various YouTube resources including videos, playlists, channels, comments, and captions through both command-line and server interfaces. Yutu integrates seamlessly with popular MCP clients such as VS Code, Cursor, and Claude Desktop, providing a chat-like interface for interaction with YouTube. Installation options include Docker, Homebrew, WinGet, and Go, with strong emphasis on authentication and credential management for secure API access.

217 17 MCP

18

gomcp

Go-based Model Context Protocol server for integrating Lightpanda Browser with AI tools via CDP.

gomcp is a server implementation of the Model Context Protocol (MCP) written in Go. It enables interaction between Lightpanda Browser and AI tools using the Chrome DevTools Protocol (CDP) over various transports such as standard input/output and Server-Sent Events. gomcp can operate as a backend for desktop AI assistants like Claude Desktop, providing tools to manage browser-based context. It facilitates easy browser orchestration and context sharing in standardized ways for downstream applications.

26 6 MCP

19

4everland-hosting-mcp

MCP server for instant AI code deployment to decentralized storage.

4EVERLAND Hosting MCP Server is an implementation of the Model Context Protocol that enables AI-driven deployment of code to decentralized storage platforms including Greenfield, IPFS, and Arweave. It allows users to instantly deploy AI-generated code and receive a unique, accessible web domain for the deployed application. Features include visual project management, secure tamper-resistant storage options, and seamless integration with platforms such as Cursor and Claude Desktop.

0 3 MCP

20

esp-rainmaker-mcp

MCP server enabling AI and applications to control ESP RainMaker IoT devices via natural language and Python.

ESP RainMaker MCP Server is a Model Context Protocol (MCP) server wrapper around the esp-rainmaker-cli Python library. It enables MCP-compatible clients such as LLMs and specialized AI applications to interact with and control ESP RainMaker IoT devices using natural language. The server runs locally, leveraging official RainMaker cloud APIs through authenticated CLI sessions, and provides tools for managing device parameters, schedules, and groups. Integration is seamless across multiple clients including Cursor, Claude Desktop, Windsurf, and Gemini CLI, making IoT management intuitive and accessible.

8 5 MCP

21

alibaba-cloud-ops-mcp-server

MCP-compliant server enabling seamless AI-powered operations on Alibaba Cloud resources.

Alibaba Cloud Ops MCP Server is an open-source implementation of the Model Context Protocol (MCP), designed for integrating AI assistants with Alibaba Cloud APIs. It enables automated operations on cloud resources such as ECS, RDS, VPC, OSS, and Cloud Monitor, supporting multiple cloud management tasks. The server provides out-of-the-box compatibility with popular MCP clients and various ecosystem platforms, and offers extensive tooling for resource management, monitoring, and automation. It is integrated with leading marketplaces and designed to be easily configured and extended.

72 19 MCP

22

mcp-server-apple-shortcuts

Enables AI assistants to control Apple Shortcuts via MCP.

Provides a Model Context Protocol (MCP) server that allows AI assistants, such as Claude, to list and run Apple Shortcuts on macOS securely. It exposes a controlled interface for automation tasks, integrating with Claude Desktop and supporting both global and local setups. Built for Node.js, it ensures safe execution while keeping the user in control.

239 25 MCP

23

k8s-mcp-server

Securely enable Claude to run Kubernetes CLI tools via Anthropic's Model Context Protocol.

K8s MCP Server provides a Docker-based implementation of Anthropic's Model Context Protocol (MCP), allowing Claude to securely execute Kubernetes CLI tools such as kubectl, helm, istioctl, and argocd within a containerized environment. It integrates with Claude Desktop so users can interact with their Kubernetes clusters using natural language. The server emphasizes security by operating as a non-root user and offering strict command validation, while also supporting major cloud providers like AWS, Google Cloud, and Azure. Easy configuration and support for various Unix tools further enhance its capabilities.

166 31 MCP

24

browser-use-mcp-server

Enables AI agents to control web browsers via the Model Context Protocol.

browser-use-mcp-server provides an MCP (Model Context Protocol) server that allows AI agents to automate and control browsers using browser-use. It supports dual transport through SSE and stdio, integrates with VNC for real-time browser streaming, and offers asynchronous browser operation execution. The server can be deployed locally or via Docker, and is designed to work seamlessly with tools like Vibe Browser and agent-browser.

727 99 MCP

25

MCP-Server-Playwright

Browser automation via Model Context Protocol using Playwright

MCP-Server-Playwright provides browser automation capabilities through the Model Context Protocol (MCP), enabling large language models (LLMs) to interact with web pages directly. It leverages Playwright to allow navigation, element manipulation, screenshots, JavaScript execution, and access to console logs in real browser environments. The server integrates with AI assistants such as Claude and Cursor, making advanced web interaction possible for AI-driven workflows. Configuration and installation are streamlined for various desktop clients, with cross-platform compatibility for Windows and macOS.

251 33 MCP

26

mcp-server-browserbase

Cloud browser automation server for LLMs via the Model Context Protocol.

Provides cloud browser automation capabilities to LLM applications through the Model Context Protocol (MCP). Integrates with Browserbase and Stagehand to allow AI models to interact with web pages, take screenshots, extract data, and perform advanced automation tasks. Supports multiple LLM providers including Gemini, OpenAI, and Claude, along with robust session and context management features. Enables seamless orchestration of browser sessions, proxy support, and persistent contexts for advanced AI-powered workflows.

2,546 279 MCP

27

UI-TARS-desktop

Multimodal AI Agent Desktop Stack for Automated GUI Interaction

UI-TARS-desktop provides a native desktop application for AI-driven GUI automation, powered by vision-language models. It supports both local and remote computer/browser operators, enabling sophisticated control via natural language. Built on the Model Context Protocol (MCP), it integrates real-world tools and supports out-of-the-box CLI and Web UI workflows. The project enables human-like task completion with features such as visual recognition, context-driven event streaming, and hybrid browser automation.

18,276 1,732 MCP

28

playwright-plus-python-mcp

A Model Context Protocol server offering browser automation via Playwright and integrated note management.

playwright-plus-python-mcp implements a Model Context Protocol (MCP) server that provides Playwright-powered browser automation tools through a standardized context interface. It supports operations like navigation, screenshotting, DOM interaction, script evaluation, and content extraction. Additionally, it includes a simple note storage resource with summarization prompts for managing and summarizing notes. This MCP server integrates tightly with tools such as Claude Desktop and provides configuration guidance for local and published server deployments.

148 23 MCP

29

mcp-playwright

A Model Context Protocol server for browser automation using Playwright.

Playwright MCP Server provides browser automation capabilities through the Model Context Protocol, enabling large language models to interact with web pages programmatically. It supports features such as taking screenshots, generating test code, web scraping, and executing JavaScript in real browser sessions. The server can be installed via npm, Smithery, or mcp-get, and comes with tooling for integration into editors like VS Code and client environments like Claude Desktop. It offers robust testing with Jest and evaluation via mcp-eval, allowing seamless collaboration with LLM agents in automated workflows.

4,707 408 MCP

30

mcp-server-youtube-transcript

Retrieve YouTube video transcripts via a Model Context Protocol server.

This project implements a Model Context Protocol (MCP) server that provides seamless access to YouTube video transcripts and subtitles. Users can extract captions from videos using a simple and standardized interface, with support for multiple video URL formats and language-specific transcript retrieval. The server is designed for integration with tools such as Claude Desktop and includes robust error handling, security features, and automated deployment capabilities.

308 52 MCP

31

mcp-ipfs

MCP-compatible server for IPFS and storacha.network integration via w3 CLI

Implements the Model Context Protocol (MCP) as a Node.js server, allowing language models and other MCP clients to interact with the storacha.network platform through w3 CLI command wrapping. Facilitates authenticated data storage, space management, file uploads/downloads, delegations, keys, and advanced storage features in a seamless MCP-compatible interface. Designed to work with tools like Docker and NPX for flexible deployment. Provides well-structured MCP tool handlers and schema validation for robust API exposure.

11 11 MCP

32

adls-mcp-server

A Model Context Protocol server for Azure Data Lake Storage Gen2

Implements a Model Context Protocol (MCP) server interface for Azure Data Lake Storage Gen2, enabling standardized file and directory operations through MCP-compatible tools. Allows users to interact with ADLS2 storage by providing commands for managing filesystems, files, and directories, supporting both upload and download workflows as well as metadata operations. Designed for integration with environments such as Claude Desktop, it supports a highly configurable setup through environment variables and authentication with Azure CLI or keys. The solution aims to simplify programmatic access and management of Azure-based data storage within broader AI/data workflows.

4 5 MCP

33

playwright-mcp

Browser automation via Model Context Protocol using Playwright

Provides a Model Context Protocol (MCP) server that enables language models to interact with and automate web browsers through structured accessibility snapshots using Playwright. It offers fast, lightweight, and deterministic browser automation without requiring pixel-based or vision models. Supports a wide variety of MCP clients, enables fine-grained browser and network control, and provides a comprehensive set of tools for web page interaction, tab management, and verification. The server can be configured for persistent or isolated user profiles, supports Docker deployment, and offers programmatic usage.

19,099 1,474 MCP

34

mcp-browser-agent

Browser automation and API tooling for Claude via Model Context Protocol.

MCP Browser Agent enables autonomous browser automation and HTTP API interaction for Claude Desktop through the Model Context Protocol (MCP). It leverages Playwright to perform advanced browser actions such as navigation, DOM interaction, and screenshot capture, as well as structured API requests. The server maintains persistent browser sessions, exposes browser logs and screenshots as resources, and supports multi-step AI-driven workflows. Integration and configuration options are provided for seamless use with Claude Desktop.

21 4 MCP

35

mcp-server-aws-sso

Seamlessly connect AI assistants to AWS resources using Single Sign-On.

mcp-server-aws-sso enables integration of AI assistants such as Claude and Cursor AI with AWS resources via AWS SSO. It facilitates secure, natural language access and management of AWS infrastructure, including executing CLI commands, listing accounts and roles, and performing EC2 operations. MCP transport modes are supported, including STDIO and HTTP, making it compatible with a wide range of MCP-compliant clients.

4 7 MCP

36

web-eval-agent

Autonomous browser-based agent for web app testing and debugging, integrated with MCP.

web-eval-agent launches an MCP-compliant server that enables automated UX evaluation and debugging of web applications using a browser-driven agent. It autonomously navigates web apps, captures network and console logs, and generates detailed reports. The solution integrates with code editors such as Cursor, enabling seamless in-editor tool invocation and efficient end-to-end testing workflows. Features include browser state management, rich context reporting, and API key-based authentication.

1,175 97 MCP

37

mcp-server-apple-reminders

MCP server enabling direct integration with Apple Reminders on macOS.

Provides a standardized Model Context Protocol (MCP) server for native integration with Apple Reminders on macOS, supporting robust management of reminders and lists. Enables AI tools and platforms to create, update, delete, organize, and search reminders through a unified API with advanced filtering, organization strategies, and locale-aware date handling. Delivers performance and reliability via TypeScript and native Swift components, with built-in security and error handling. Supports seamless connectivity with AI assistants such as Claude Desktop, Cursor, and ChatWise for natural language interactions.

103 19 MCP

38

browser-control-mcp

Secure AI assistant access to browser tabs, history, and content via MCP.

Browser Control MCP provides a Model Context Protocol (MCP) server and a Firefox browser extension that enable AI assistants to securely interact with a user's browser. It allows AI systems to manage tabs, access browsing history, and read webpage content, with explicit user consent for sensitive actions. The implementation focuses on security, user consent, and privacy, and does not allow arbitrary scripting or web page modification. It is designed to enable contextual browsing assistance for AI models while protecting the user's personal data.

139 31 MCP

39

esxi-mcp-server

RESTful server for managing VMware ESXi and vCenter via Machine Control Protocol

ESXi MCP Server provides an API-based management system for VMware ESXi and vCenter environments using the Machine Control Protocol. It offers RESTful and JSON-RPC interfaces for virtual machine lifecycle operations, performance monitoring, and real-time communication through SSE. The server supports secure configuration, API key authentication, and flexible setup through YAML, JSON, or environment variables.

36 18

40

biothings-mcp

Model Context Protocol server for structured biomedical data access.

Implements a Model Context Protocol (MCP) server designed to provide standardized, type-safe API interfaces to authoritative biomedical data sources such as mygene.info, myvariant.info, and mychem.info. Offers seamless integration with AI assistants and clients via natural language queries, supporting multiple communication modes including HTTP, STDIO, and SSE. Local file saving, output directory management, and inspection tools are included for flexible workflows. Utilizes the biothings-typed-client library, ensuring validated and structured data transactions.

23 4 MCP

41

biomcp

Open-source Model Context Protocol toolkit for biomedical data access

BioMCP is an open source toolkit designed to connect AI assistants and agents with authoritative biomedical data sources, following the Model Context Protocol (MCP). It enables structured and natural language queries against clinical trials, biomedical literature, and genomic variant databases, and is certified by MCPHub for protocol compliance. The system provides flexible transport options, including STDIO and HTTP, and integrates with major biomedical APIs such as PubMed, ClinicalTrials.gov, MyVariant.info, and cBioPortal. With a suite of core and specialized tools, it supports both unified and domain-specific searches, as well as detailed data retrieval, for comprehensive biomedical research workflows.

276 41 MCP

42

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

43

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

44

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

45

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

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

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

48

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

49

anilist-mcp

MCP server enabling LLM access to AniList anime, manga, and user data.

AniList MCP Server is an implementation of the Model Context Protocol (MCP) that interfaces directly with the AniList API. It provides tools for searching, retrieving, and managing anime, manga, character, staff, studio, and user data, including features requiring user authentication. Designed for integration with LLM and AI clients like Claude Desktop, it allows seamless interaction with AniList resources via standardized protocol methods.

52 7 MCP

50

McGravity

Unified load balancer and proxy for multiple MCP servers

McGravity acts as a scalable unified proxy and load balancer for multiple MCP (Model Context Protocol) servers. It allows clients to connect through a single endpoint to access and manage multiple MCP servers efficiently. The tool offers load balancing, configuration via YAML, CLI and Docker support, and plans to evolve with features such as health checks and a web interface. Designed for modern GenAI infrastructure, it simplifies connection, balancing, and scalability of MCP server deployments.

68 3 MCP

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