gomcp alternatives

1

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

2

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

3

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

4

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

5

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

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

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

8

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

9

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

10

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

11

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

12

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

13

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

14

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

15

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

16

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

17

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

18

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

19

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

20

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

21

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

22

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

23

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

24

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

25

mcpmcp-server

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

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

17 6 MCP

26

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

27

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

28

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

29

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

30

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

31

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

32

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

33

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

34

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

35

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

36

mcp-access-point

Bridge HTTP services with Model Context Protocol (MCP) clients seamlessly.

MCP Access Point acts as a lightweight gateway that enables direct communication between MCP-compatible clients and traditional HTTP services without requiring server-side modifications. Built on the high-performance Pingora proxy library, it supports protocol conversion between HTTP, SSE, and MCP, supporting multi-tenancy and customizable routing. It empowers various MCP clients, such as Cursor Desktop, MCP Inspector, and VS Code, to interact with existing APIs efficiently. Configuration is flexible via YAML, and deployment is possible both locally and through Docker.

118 21 MCP

37

mcp-server

A production-ready Model Context Protocol server for advanced aerospace and astrodynamics calculations.

The mcp-server provides a Model Context Protocol (MCP) server specifically designed for aerospace and astrodynamics computations. It offers both STDIO and HTTP/SSE transport options, enabling seamless integration with MCP clients for tasks like celestial body ephemeris, orbital mechanics, geometry, ground station operations, and time system conversions. Powered by the IO Aerospace Astrodynamics framework, it supports rapid, context-aware scientific tool execution for applications in mission analysis and research. Extensible deployment methods, including Docker and .NET, and a focus on easy client integration are core components.

1 1 MCP

38

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

39

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

40

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

41

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

42

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

43

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

44

discogs-mcp-server

Expose Discogs catalog operations via the Model Context Protocol

Discogs MCP Server enables music catalog operations and search functionality for the Discogs API using the Model Context Protocol (MCP). It allows integration with popular AI model clients such as Claude, LibreChat, and LM Studio by conforming to MCP standards. Built with FastMCP, it provides easy configuration, inspection tools, and Docker support for seamless deployment. The server facilitates user authentication, collection editing, and context-rich tool access for music data management.

46 3 MCP

45

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

46

mcp

Cloud-based Model Context Protocol (MCP) server for remote 3D printer access and AI-driven control.

OctoEverywhere's MCP provides a secure, free, and private cloud server for accessing, monitoring, and controlling 3D printers via the Model Context Protocol. It supports linking a wide range of 3D printers and enables live status monitoring, print control, and webcam snapshots. Designed for integration with AI chatbots, agents, and workflows, it simplifies remote 3D printer management through MCP access tokens. The service emphasizes privacy, security, and accessibility for the global 3D printing community.

7 2 MCP

47

davinci-resolve-mcp

Model Context Protocol server connecting AI assistants to DaVinci Resolve.

Provides a Model Context Protocol (MCP) server that enables AI coding assistants such as Cursor and Claude Desktop to interact with DaVinci Resolve via natural language. Facilitates querying and controlling DaVinci Resolve, supporting project management, timeline operations, and media pool functions. Offers cross-platform support for macOS and Windows, and integrates seamlessly with popular AI assistant tools. Includes robust scripts for setup, client-specific configuration, and troubleshooting.

301 28 MCP

48

aseprite-mcp

Python MCP server for integrating Aseprite with programmable clients

Aseprite MCP Tools is a Python module that acts as an MCP (Model Context Protocol) server, providing programmatic access to the Aseprite API. It can be deployed via Docker or locally using Python, and integrates with platforms such as Steam for installing Aseprite. The project enables scripted or automated control over Aseprite by way of the MCP, facilitating advanced workflows such as remote drawing or context-driven tool manipulation.

79 8 MCP

49

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

50

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

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