YCloud WhatsApp API MCP Server - Alternatives & Competitors
Bridge YCloud WhatsApp API to AI models via Model Context Protocol.
YCloud WhatsApp API MCP Server enables seamless integration between the YCloud WhatsApp OpenAPI and AI models using the Model Context Protocol (MCP). It dynamically generates MCP tools from the OpenAPI specification, supporting interaction with all YCloud API endpoints. The server includes built-in handling for API authentication, parameter validation, and HTTP request/response management, and can be easily integrated with Claude desktop applications. Environment variable configuration allows flexible deployment and usage.
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Make MCP Server (legacy)
Enable AI assistants to utilize Make automation workflows as callable tools.
Make MCP Server (legacy) provides a Model Context Protocol (MCP) server that connects AI assistants with Make scenarios configured for on-demand execution. It parses and exposes scenario parameters, allowing AI systems to invoke automation workflows and receive structured JSON outputs. The server supports secure integration through API keys and facilitates seamless communication between AI and Make's automation platform.
142 39 MCP -
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OpenAI MCP Server
Bridge between Claude and OpenAI models using the MCP protocol.
OpenAI MCP Server enables direct querying of OpenAI language models from Claude via the Model Context Protocol (MCP). It provides a configurable Python server that exposes OpenAI APIs as MCP endpoints. The server is designed for seamless integration, requiring simple configuration updates and environment variable setup. Automated testing is supported to verify connectivity and response from the OpenAI API.
77 19 MCP -
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youtube_mcp
YouTube transcription server with Model Context Protocol integration.
youtube_mcp is a server that enables transcription of YouTube videos using the Model Context Protocol (MCP). Users can set up the server, authenticate via an MCP key, and stream video transcript data for integrated AI tools. Designed for use with applications like Claude desktop, it supports OpenAI APIs and utilizes browser cookies for access.
26 3 MCP -
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QuantConnect MCP Server
Official bridge for secure AI access to QuantConnect's algorithmic trading cloud platform
QuantConnect MCP Server enables artificial intelligence systems such as Claude and OpenAI to interface with QuantConnect's cloud platform through an official, secure, and dockerized implementation of the Model Context Protocol (MCP). It facilitates automated project management, strategy writing, backtesting, and live deployment by exposing a comprehensive suite of API tools for users with valid access credentials. As the maintained official version, it ensures security, easy deployment, and cross-platform compatibility for advanced algorithmic trading automation.
50 19 MCP -
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Pica MCP Server
A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.
Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.
8 5 MCP -
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MCP Server for Iaptic
A Model Context Protocol server for accessing and managing Iaptic data with AI agents.
MCP Server for Iaptic implements the Model Context Protocol to enable AI models, such as Claude, to securely and efficiently interact with Iaptic's customer, purchase, transaction, and statistics data. The server provides a standardized interface and command set for querying and managing information related to customers, purchases, transactions, events, and application management. Designed for integration with Claude Desktop and similar AI clients, it offers both automated and manual installation options.
5 7 MCP -
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YDB MCP
MCP server for AI-powered natural language database operations on YDB.
YDB MCP acts as a Model Context Protocol server enabling YDB databases to be accessed via any LLM supporting MCP. It allows AI-driven and natural language interaction with YDB instances by bridging database operations with language model interfaces. Flexible deployment through uvx, pipx, or pip is supported, along with multiple authentication methods. The integration empowers users to manage YDB databases conversationally through standardized protocols.
24 7 MCP -
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MCP OpenAI Server
Seamlessly connect OpenAI's models to Claude via Model Context Protocol.
MCP OpenAI Server acts as a Model Context Protocol (MCP) bridge allowing Claude Desktop to access and interact with multiple OpenAI chat models. It enables users to leverage models such as GPT-4o and O1 directly from Claude using a straightforward message-passing interface. The server supports easy integration through configuration and provides basic error handling. Designed for use with Node.js and requiring an OpenAI API key, it is tailored for macOS with support for other platforms in progress.
69 23 MCP -
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Taskade MCP
Tools and server for Model Context Protocol workflows and agent integration
Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.
90 20 MCP -
10
Weblate MCP Server
Seamlessly connect AI assistants to Weblate for translation management via the Model Context Protocol.
Weblate MCP Server enables AI assistants and clients to directly manage Weblate translation projects through the Model Context Protocol (MCP). It integrates with the Weblate REST API, allowing natural language interaction for project and translation management. The tool offers multiple transport options including HTTP, SSE, and STDIO, and is optimized for large language model workflows. Full support for project, component, and translation operations is provided, with a focus on type safety and flexible environment configuration.
9 5 MCP -
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box-mcp-server
Expose your Box files to AI with a Model Context Protocol server.
box-mcp-server lets users connect their Box accounts to AI applications via the Model Context Protocol (MCP). It securely authenticates to Box with enterprise credentials or developer tokens and serves file search and reading capabilities to downstream clients. Designed for use with Claude Desktop and the MCP Inspector, it provides seamless integration of Box documents into AI workflows.
10 11 MCP -
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Firefly MCP Server
Seamless resource discovery and codification for Cloud and SaaS with Model Context Protocol integration.
Firefly MCP Server is a TypeScript-based server implementing the Model Context Protocol to enable integration with the Firefly platform for discovering and managing resources across Cloud and SaaS accounts. It supports secure authentication, resource codification into infrastructure as code, and easy integration with tools such as Claude and Cursor. The server can be configured via environment variables or command line and communicates using standardized MCP interfaces. Its features facilitate automation and codification workflows for cloud resource management.
15 6 MCP -
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MCP Swagger Server (mss)
Seamlessly convert OpenAPI/Swagger specs into Model Context Protocol tools for AI integration.
MCP Swagger Server converts OpenAPI/Swagger API specifications into Model Context Protocol (MCP) compatible tools, enabling REST APIs to become directly callable by AI systems. It supports zero-configuration conversion, multiple transport protocols (SSE, Streamable, Stdio), and secure API access through Bearer Token authentication. The tool offers an interactive command-line interface and configuration options to filter operations, customize transports, and manage API security. Its modular structure includes OpenAPI parsing, web UI, and backend services.
38 8 MCP -
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Perplexity MCP Server
MCP Server integration for accessing the Perplexity API with context-aware chat completion.
Perplexity MCP Server provides a Model Context Protocol (MCP) compliant server that interfaces with the Perplexity API, enabling chat completion with citations. Designed for seamless integration with clients such as Claude Desktop, it allows users to send queries and receive context-rich responses from Perplexity. Environment configuration for API key management is supported, and limitations with long-running requests are noted. Future updates are planned to enhance support for client progress reporting.
85 35 MCP -
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Yuque-MCP-Server
Seamless integration of Yuque knowledge base with Model-Context-Protocol for AI model context management.
Yuque-MCP-Server provides an MCP-compatible server for interacting with the Yuque knowledge base platform. It enables AI models to retrieve, manage, and analyze Yuque documents and user information through a standardized Model-Context-Protocol interface. The server supports operations such as document creation, reading, updating, deletion, advanced search, and team statistics retrieval, making it ideal for AI-powered workflows. Inspired by Figma-Context-MCP, it facilitates contextual awareness and dynamic knowledge management for AI applications.
31 13 MCP -
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MCP-wolfram-alpha
An MCP server for querying the Wolfram Alpha API.
MCP-wolfram-alpha provides an implementation of the Model Context Protocol, enabling integration with the Wolfram Alpha API. It exposes prompts and tools to facilitate AI systems in answering natural language queries by leveraging Wolfram Alpha's computational knowledge engine. The server requires an API key and offers configuration examples for seamless setup and development.
64 17 MCP -
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IP Find MCP Server
A Model Context Protocol server for IP location lookups by AI assistants.
IP Find MCP Server acts as a Model Context Protocol (MCP) server, allowing AI assistants to access geolocation data from the IP Find API. It connects the IP Find API with AI tools, enabling the retrieval of IP address location information in standardized contexts. Designed for integration with MCP clients such as the Claude Desktop App, it simplifies configuration and secure API key management. The server is certified by MCPHub.
2 6 MCP -
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Postmancer
A standalone MCP server for API testing and management via AI assistants.
Postmancer is a Model Context Protocol (MCP) server designed to facilitate API testing and management through natural language interactions with AI assistants. It enables HTTP requests, organizes API endpoints into collections, and provides tools for managing environment variables, authentication, and request history. Postmancer is particularly aimed at integrating with AI platforms like Claude for seamless, automated API workflows.
28 4 MCP -
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MCP Server for TheHive
Connect AI-powered automation tools to TheHive incident response platform via MCP.
MCP Server for TheHive enables AI models and automation clients to interact with TheHive incident response platform using the Model Context Protocol. It provides tools to retrieve and analyze security alerts, manage cases, and automate incident response operations. The server facilitates seamless integration by exposing these functionalities over the standardized MCP protocol through stdio communication. It offers both pre-compiled binaries and a source build option with flexible configuration for connecting to TheHive instances.
11 3 MCP -
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mcp-server-home-assistant
A Model Context Protocol Server integration for Home Assistant.
Provides an MCP server interface for Home Assistant, enabling context sharing between Home Assistant and AI models through the Model Context Protocol. Allows users to connect Claude Desktop and similar tools to Home Assistant via a WebSocket API and secure API token. Facilitates seamless integration by leveraging a custom Home Assistant component that is migrating into Home Assistant Core. Enables access and manipulation of smart home context data in standardized ways.
64 8 MCP -
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AgentQL MCP Server
MCP-compliant server for structured web data extraction using AgentQL.
AgentQL MCP Server acts as a Model Context Protocol (MCP) server that leverages AgentQL's data extraction capabilities to fetch structured information from web pages. It allows integration with applications supporting MCP, such as Claude Desktop, VS Code, and Cursor, by providing an accessible interface for extracting structured data based on user-defined prompts. With configurable API key support and streamlined installation, it simplifies the process of connecting web data extraction workflows to AI tools.
120 28 MCP -
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Insforge MCP Server
A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.
Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.
3 2 MCP -
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Qlik MCP Server
Connect Claude AI to Qlik Cloud applications and extract insights via the Model Context Protocol.
Qlik MCP Server enables integration between Claude AI and Qlik Cloud applications through the Model Context Protocol (MCP). It exposes API tools for listing Qlik apps, retrieving sheets and charts, and extracting chart data programmatically. The server supports deployment via Docker, Deno, or Node.js, and can be configured for use with tools like Claude Desktop and Cursor. The setup emphasizes secure handling of Qlik Cloud credentials and flexible environment configuration.
7 5 MCP -
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OpsLevel MCP Server
Read-only MCP server for integrating OpsLevel data with AI tools.
OpsLevel MCP Server implements the Model Context Protocol to provide AI tools with a secure way to access and interact with OpsLevel account data. It supports read-only operations for a wide range of OpsLevel resources such as actions, campaigns, checks, components, documentation, domains, and more. The tool is compatible with popular environments including Claude Desktop and VS Code, enabling easy integration via configuration and API tokens. Installation options include Homebrew, Docker, and standalone binaries.
8 7 MCP -
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YAMCP
Unified management and orchestration of Model Context Protocol servers via a local gateway workspace.
YAMCP is a command-line tool that enables organizing and managing multiple MCP (Model Context Protocol) servers as unified workspaces. It allows users to connect to various local or remote MCP servers, group them by functionality or application, and expose them as a single MCP server gateway for AI applications. The tool simplifies monitoring and debugging by centralizing server communication logs and provides workspace management and runtime control. YAMCP facilitates seamless integration with AI applications by providing a consolidated configuration and context management interface.
57 9 MCP -
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gqai
Expose GraphQL operations as Model Context Protocol (MCP) tools for AI models.
gqai is a lightweight proxy that converts GraphQL operations into MCP-compatible tools, enabling integration with AI systems such as ChatGPT, Claude, and Cursor. It automatically discovers and exposes GraphQL queries and mutations as callable tools via an MCP server, powered by your existing GraphQL backend. Configuration is managed via standard .graphqlrc.yml and .graphql files, with support for dynamic endpoints and environment variables.
21 4 MCP -
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mcp-miro
Model Context Protocol server for integrating MIRO Whiteboard with AI workflows.
mcp-miro is a Model Context Protocol (MCP) compliant server that connects the MIRO Whiteboard Application to AI-based systems, such as Claude Desktop. It enables board manipulation, sticky note creation, bulk operations, and more through standardized MCP interfaces. Users can authenticate via OAuth and interact with MIRO boards programmatically for collaborative whiteboarding and automation tasks. The server can be installed using Smithery or mcp-get and supports debugging with the MCP Inspector.
97 31 MCP -
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MCP Link
Convert Any OpenAPI V3 API to an MCP Server for seamless AI Agent integration.
MCP Link enables automatic conversion of any OpenAPI v3-compliant RESTful API into a Model Context Protocol (MCP) server, allowing instant compatibility with AI-driven agent frameworks. It eliminates the need for manual interface creation and code modification by translating OpenAPI schemas into MCP endpoints. MCP Link supports robust feature mapping and authentication, making it easy to expose existing APIs to AI ecosystems using a standardized protocol. The tool is designed for both developers and organizations seeking to streamline API integration with AI agents.
572 68 MCP -
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Supabase MCP Server
Connect Supabase projects to AI assistants using the Model Context Protocol.
Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.
2,263 253 MCP -
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MCP Server for Cortex
Bridge Cortex threat analysis capabilities to MCP-compatible clients like Claude.
MCP Server for Cortex exposes the analysis capabilities of a Cortex instance as tools consumable by Model Context Protocol (MCP) clients, such as large language models. It enables these clients to request threat intelligence analyses via Cortex and receive structured results. The server supports easy configuration, secure authentication, and flexible analyzer selection for integrating threat intelligence tasks into automated AI workflows.
12 4 MCP -
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Yandex Tracker MCP Server
A Model Context Protocol server for secure and flexible integration with Yandex Tracker APIs.
Yandex Tracker MCP Server enables AI assistants to securely interact with Yandex Tracker APIs by providing authenticated access to issues, queues, comments, worklogs, and more. It supports advanced query capabilities, optional Redis caching for enhanced performance, and multiple transport options including HTTP and stdio. The server features OAuth 2.0 authentication, granular security controls, and can be seamlessly integrated as an extension in various AI clients, such as Claude Desktop.
28 6 MCP -
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Airtable MCP Server
Advanced AI-powered server enabling enterprise-grade automation and analytics for Airtable through MCP.
Airtable MCP Server is an AI-enhanced MCP-compliant server designed to provide seamless integration with Airtable databases. It offers intelligent automation, predictive analytics, natural language querying, and comprehensive schema management, powered by a robust TypeScript architecture. The solution is equipped with multi-base support, enterprise-level security, and advanced governance, making it suitable for diverse workflow automation and analytics scenarios.
45 17 MCP -
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Meta Ads MCP
AI-powered Meta Ads campaign analysis and management via MCP
Meta Ads MCP is a Model Context Protocol (MCP) server for managing, analyzing, and optimizing Meta advertising campaigns. It enables AI interfaces, such as LLMs, to retrieve ad performance data, visualize creatives, and provide strategic insights across Facebook, Instagram, and related platforms. The solution supports integration with platforms like Claude and Cursor, leveraging Meta's public APIs to deliver actionable insights and campaign management capabilities. Authentication options include interactive login and token-based flows for various MCP clients.
342 86 MCP -
34
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 -
35
YouTube MCP Server
Connect YouTube subtitles to Claude via the Model Context Protocol.
YouTube MCP Server integrates with Claude AI by providing a bridge between YouTube subtitles and the Model Context Protocol. It utilizes yt-dlp to download video subtitles and makes this context accessible through MCP-compliant interactions with Claude. Designed for easy installation with mcp-installer, it enables Claude to process and summarize YouTube videos directly from their URLs.
468 57 MCP -
36
piapi-mcp-server
TypeScript-based MCP server for PiAPI media content generation
piapi-mcp-server is a TypeScript implementation of a Model Context Protocol (MCP) server that connects with PiAPI to enable media generation workflows from MCP-compatible applications. It handles image, video, music, TTS, 3D, and voice generation tasks using a wide range of supported models like Midjourney, Flux, Kling, LumaLabs, Udio, and more. Designed for easy integration with clients such as Claude Desktop, it includes an interactive MCP Inspector for development, testing, and debugging.
62 23 MCP -
37
MCP ChatGPT Server
Enables direct access to OpenAI's ChatGPT API from Claude Desktop via the Model Context Protocol.
MCP ChatGPT Server runs as an MCP-compliant server, allowing users to access OpenAI's ChatGPT API seamlessly within Claude Desktop. It supports customizable model parameters, automated conversation state management, integrated web search for up-to-date information, and facilitates interactive discussions between Claude and ChatGPT. Users can configure model selection, temperature, token limits, and use their own OpenAI API keys.
14 8 MCP -
38
any-chat-completions-mcp
Integrate multiple AI chat providers with OpenAI-compatible MCP server.
any-chat-completions-mcp is a TypeScript-based server implementing the Model Context Protocol (MCP) to connect popular AI chat providers like OpenAI, Perplexity, Groq, xAI, and PyroPrompts via a unified interface. It relays chat/completion requests to any OpenAI SDK-compatible API, allowing users to easily access multiple AI services through the same standardized protocol. The server can be configured for different providers by setting environment variables and integrates with both Claude Desktop and LibreChat.
143 23 MCP -
39
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 -
40
attio-mcp-server
MCP server for enabling Attio CRM access via AI model context clients.
attio-mcp-server implements a Model Context Protocol (MCP) server that facilitates communication between MCP clients, such as Claude, and the Attio CRM API. It enables reading and writing company notes and records within Attio by leveraging a bearer token for authentication. Designed for Node.js, it provides streamlined integration with Attio for applications utilizing AI-driven model context protocols.
16 24 MCP -
41
Box MCP Server (Remote)
Securely connect AI agents to Box content and Box AI using the Model Context Protocol.
Box MCP Server (Remote) enables AI agent platforms to securely interact with Box data and AI-powered tools via the Model Context Protocol. It supports OAuth-based authentication and provides various capabilities, including user identification, file and folder operations, and access to Box AI tools. The service exposes an endpoint for easy integration by MCP-compatible clients while ensuring data never leaves the Box environment. It offers both admin console and developer console setup options and comprehensive documentation for connection.
0 3 MCP -
42
Aiven MCP Server
Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.
Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.
11 11 MCP -
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QA Sphere MCP Server
Model Context Protocol server enabling LLMs to interact with QA Sphere test cases
QA Sphere MCP Server provides a Model Context Protocol (MCP) integration for QA Sphere, allowing Large Language Models to interact with, discover, and summarize test cases within the QA Sphere test management system. It enables AI-powered IDEs and MCP clients to reference and manipulate QA Sphere test case data within development workflows. The solution supports quick integration into clients like Claude, Cursor, and 5ire, facilitating seamless collaboration and context sharing for AI-assisted development.
15 6 MCP -
44
mcp-server-atlassian-confluence
Seamlessly connect AI assistants to your Atlassian Confluence knowledge base.
Enables integration of AI assistants like Claude and Cursor AI directly with Atlassian Confluence, allowing users to interact with their documentation and knowledge base using natural language queries. Supports instant answers, search across all spaces, and access to specific Confluence content and discussions. Follows the Model Context Protocol (MCP) for standardized model context management and easy configuration with various AI assistants via STDIO transport or config files.
39 20 MCP -
45
Climatiq MCP Server
MCP server providing AI assistants with real-time carbon emissions calculations via Climatiq API.
Climatiq MCP Server implements the Model Context Protocol to bridge AI assistants with the Climatiq API for precise carbon emissions calculations. It exposes a set of tools for various emissions scenarios, including electricity use, travel, freight, and more. The server generates resource URIs for detailed emission reports and provides natural language explanations on climate impact. Configuration is streamlined via environment variables, CLI tools, or files, supporting easy integration with platforms like Claude Desktop.
6 8 MCP -
46
mcp-server-atlassian-jira
Seamlessly connect AI assistants to Jira for project and issue management via Model Context Protocol.
Enables AI assistants like Claude and Cursor to interact directly with Atlassian Jira projects, issues, and workflows using the Model Context Protocol (MCP). Provides standardized context and actions such as querying project status, searching issues, and managing comments through a command-line MCP server. Designed for integration with multiple AI tools, allowing natural language project interaction and instant workflow insights.
39 16 MCP -
47
YouTube Uploader MCP
AI-powered YouTube video uploader via Model Context Protocol clients.
YouTube Uploader MCP enables seamless and secure uploading of videos to YouTube using MCP-compatible clients like Claude Desktop, Cursor, and VS Code. It leverages OAuth2 authentication for safe account integration, handles access and refresh tokens, and provides multi-channel support. Installation is streamlined with single-command scripts for all platforms, and configuration is tailored for code assistant tools. Secrets are never shared with LLMs or third-party apps, ensuring user privacy through the Model Context Protocol.
28 4 MCP -
48
omniparser-autogui-mcp
Automated GUI analysis and interaction via the Model Context Protocol.
omniparser-autogui-mcp is an MCP server that leverages OmniParser to analyze on-screen content and perform automated GUI operations. It integrates with clients such as Claude Desktop and can be configured via a detailed environment setup. The tool supports Windows and can delegate OmniParser processing to external devices, offering flexibility for complex contexts. Multiple environment variables allow customization of backend processing, target window selection, and communication methods, including SSE.
58 11 MCP -
49
MCP Zotero
Model Context Protocol server for seamless Zotero integration with AI tools.
MCP Zotero provides a Model Context Protocol server enabling AI models such as Claude to access and interact with Zotero libraries. Users can securely link their Zotero accounts and perform actions including listing collections, retrieving papers, searching the library, and getting details about specific items. Integration is designed for both standalone operation and as an extension for tools like Claude Desktop.
137 17 MCP -
50
APISIX Model Context Protocol Server
Bridge LLMs with APISIX for natural language API management.
APISIX Model Context Protocol (MCP) Server enables large language models to interact with and manage APISIX resources via natural language commands. It provides a standardized protocol for connecting AI clients like Claude, Cursor, and Copilot to the APISIX Admin API. The server supports a range of operations including CRUD for routes, services, upstreams, plugins, security configurations, and more. Installation is streamlined via Smithery, npm, or direct source setup with customizable environment variables.
29 9 MCP
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