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Enables LLM applications to perform real-world telephony operations such as voice calls and SMS messaging using the Vonage API.
Integrates Google Chat with Model Control Protocol (MCP) servers, enabling access and interaction with Chat spaces and messages through MCP tools.
Unifies SymPy, NumPy, and Matplotlib into a powerful server for advanced mathematical computations and visualizations.
Provides client applications with the ability to access and retrieve Wikipedia pages.
Manages project documentation and context across sessions, enabling AI models to maintain consistent project knowledge.
Connects AI assistants to Buildable projects for contextual understanding, task management, and real-time collaboration.
Configure, host, and embed AI-powered chat widgets on any website or application.
Exposes the AviationStack API, enabling real-time interaction with live flight data through a Model Context Protocol (MCP) server.
Connects AI models and automation tools to TheHive incident response platform.
Enables interaction with the Salesforce Agentforce API for authentication, session creation, and message exchange.
Enables AI agents to generate, edit, and describe images using Google's Gemini models through an MCP server.
Facilitates seamless integration with various DingTalk enterprise collaboration services, including contact management, messaging, and scheduling.
Provides a Model Context Protocol (MCP) server for accessing Deutsche Bahn timetable data.
Integrates Semrush API functionality into AI assistants via an MCP server.
Provides seamless integration with Google Cloud Storage, enabling AI assistants to perform file operations, manage buckets, and interact with GCS resources directly.
Provides access to cryptocurrency market data, portfolio tracking, and news via the CoinStats API.
Simplifies interacting with Quail for user authentication, post management, and user detail retrieval.
Empower AI agents with secure, real-time access to Discord's API and events.
Exposes IMAP operations as tools for AI assistants, enabling automated email draft creation and integration.
Demonstrates the use of Model Context Protocol (MCP) server tools with a LangChain ReAct Agent in TypeScript.
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