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Exposes CalDAV calendar operations as tools for AI assistants via the Model Context Protocol.
Integrates agent frameworks and protocols with the AgentMail API.
Enables secure execution of shell commands with dynamic approval and audit logging.
Integrates Bear note app with Model Context Protocol (MCP) servers.
Provides a text-to-speech service via an MCP server.
Connects to Nomad to provide a Model Context Protocol (MCP) server.
Simplifies complex EVM blockchain interactions into composable, intent-based tools through a type-safe interface.
Provides detailed information about AI language models to help developers choose the right one for their needs.
Enables Language Learning Models (LLMs) to perform web searches using Google's Custom Search API through a standardized MCP interface.
Integrates the Hyperliquid SDK to provide market data and order book information.
Refines AI-generated content to produce more natural, human-like writing through AI detection and text enhancement.
Sends ntfy notifications when AI assistant tasks are completed using the Model Context Protocol.
Enables AI tools to interact with Gradle projects programmatically via the Model Context Protocol.
Enables AI assistants to query and analyze Beancount ledger files using Beancount Query Language.
Enables Claude to execute shell commands securely through the Model Context Protocol.
Facilitates a structured, step-by-step approach to problem-solving and analysis by breaking down complex issues into manageable steps.
Integrates the Dify AI API to serve as a Model Context Protocol server.
Provides a minimal Rails API template for building Model Context Protocol (MCP) servers with tool execution capabilities.
Executes tasks using Model Context Protocol (MCP) tools via Anthropic Claude, AWS BedRock, and OpenAI APIs.
Enables applications to provide context to large language models for Algorand blockchain interactions.
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