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Enables querying Apache Superset data using large language models through a Model Context Protocol (MCP) server.
Executes shell commands securely within an isolated Docker container using the Model Context Protocol (MCP).
Searches and retrieves academic papers from arXiv using the Model Context Protocol.
Enables AI assistants to interact with Redmine instances for project and issue management via the Model Context Protocol.
Query European financial data through an API optimized for use with AI language models.
Generates AI-powered CSS and integrates Tailwind CSS into various development environments.
Provides a Model Context Protocol (MCP) server implementation, enabling privateGPT as an agent for seamless integration with any MCP-compatible application.
Analyzes GitHub pull requests and manages issues as part of an automated workflow.
Enables interaction with Elasticsearch 7.x through the MCP protocol.
Integrates Nia's codebase understanding capabilities with MCP-compatible clients through function calling.
Integrates TrueNAS Core systems with Model Context Protocol (MCP) clients, enabling management and automation via the TrueNAS API.
Manages Django migrations in distributed environments by wrapping migration commands as Model Context Protocol (MCP) endpoints.
Retrieves requirement and defect data from the TAPD platform to support AI client applications.
Enables LLMs to utilize Korean APIs like Naver, Kakao, and TMAP through a Model Context Protocol (MCP) server.
Transforms Allure test reports into LLM-friendly JSON formats for AI-assisted analysis.
Facilitates a trivia game where AI models generate content and manage gameplay through the Model Context Protocol.
Integrates Mixpanel analytics into AI workflows, enabling event tracking and user profile management through conversational interfaces.
Exposes Taskfile tasks as standardized tools for AI assistants.
Provides web search capabilities and webpage content extraction by scraping Google results with a headless Chrome browser.
Integrates with Kommo CRM to manage leads, contacts, companies, and provides advanced analytics and reporting functionalities.
Enables personal AI assistants to securely integrate with and control Google Workspace services.
Integrates iRacing with the Model Context Protocol (MCP) to enable interaction with iRacing data.
Transforms OpenAPI specifications into discoverable and usable Model-Context-Protocol tools.
Enables AI agents to request and manage Selenium browser instances through a secure API.
Empowers AI assistants to interact directly with the Unity Editor, facilitating AI-assisted game development and automation.
Provides a versatile MCP server accessible via SSE for Git operations, file manipulation, and shell command execution, enhancing AI assistant capabilities.
Facilitates reading data from Microsoft Excel files via a Model Context Protocol (MCP) server.
Integrates the Gemini command-line interface with Model Context Protocol servers.
Facilitates querying of SPARQL endpoints via a Model Context Protocol server.
Enables interaction with the X platform through an MCP client.
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