An implementation of the Model Context Protocol (MCP) server that exposes Twilio APIs to AI assistants and tools, allowing them to interact with Twilio services through the MCP protocol.
Provides a set of tools to interact with Sinch APIs for messaging, voice, verification, and email services, enabling users to send messages across different channels, perform phone verifications, make voice calls, and manage email communications.
Enables interaction with Telnyx's telephony, messaging, and AI assistant APIs to manage phone numbers, send messages, make calls, and create AI assistants. Includes webhook support for real-time event handling and comprehensive tools for voice, SMS, cloud storage, and embeddings.
Enables LLMs to make voice calls and send SMS messages through the Vonage API, allowing AI assistants to perform real-world telephony operations with support for speech recognition and multi-language conversations.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
AI bookkeeper for small businesses that connects to QuickBooks Online. Enables users to query financial data like bank balances, P\&L reports, and invoices through natural language in Claude Desktop or Cursor.
Provides AI assistants with persistent graph-based memory capabilities using Neo4j, enabling semantic search, relationship tracking, and knowledge organization across multiple project contexts.
Production-ready MCP server enabling LLM text generation, template management, context-aware conversations, and memory storage with enterprise quality assurance.