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Bridges various Model Context Protocol (MCP) transports used by IDEs and AI agents with Sequa's native HTTP MCP endpoint.
Enables database interaction with Snowflake through a Model Context Protocol (MCP) server, allowing the execution of SQL queries and exposure of data insights and schema context.
Executes an agent, potentially for use with CodeQL analysis on local Git repositories within a Docker container.
Empowers LLM agents to integrate and utilize the Gemini CLI and other developer tools via a standardized JSON-RPC interface.
Connects to Microsoft SQL Server databases via the Model Context Protocol, offering an OpenAPI proxy for data interaction and schema inspection.
Enables AI assistants to interact with the Zeropath vulnerability management API for querying and managing security issues.
Enables AI assistants to access and analyze Mixpanel analytics data comprehensively.
Automates the generation of client-side code and provides documentation search for the AIApp BaaS authentication system.
Provides a standardized Model Context Protocol interface for Large Language Models to interact with Tracxn financial data.
Provides unrestricted command-line access to Windows environments with SYSTEM-level privileges, enhancing the original Windows CLI server.
Manage tasks and projects using a command-line kanban board with integrated AI assistance.
Surfaces the most interesting topics from a user's Bluesky follows on a daily basis.
Executes commands using a fast all-in-one JavaScript runtime.
Empowers intelligent assistants to answer domain-specific questions by leveraging RAG-based retrieval and Pinecone vector storage on custom knowledge bases.
Demonstrates a minimal, functional MCP server example exposing basic tools via `fastmcp`.
Integrates Aptos blockchain access into AI applications for managing accounts, tokens, and transactions.
Facilitates seamless, production-ready blockchain interactions with BNB Chain via the Model Context Protocol.
Enables secure execution of Docker commands on a host system for clients operating in isolated environments, such as language models within containers.
Provides comprehensive sound playback capabilities for macOS, enabling AI assistants and other MCP clients to play system sounds, text-to-speech, and custom audio files.
Provides seamless integration of RAP2 API documentation and interface management into AI programming assistants, enabling Large Language Models (LLMs) to directly access and operate RAP2 interface documents.
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