Rivinci lets businesses build AI agents that go beyond simple chat: each agent pairs a configurable chatbot (name, personality, system instructions, knowledge base) with an MCP Server Hub that turns existing REST APIs into tools the agent can call. Teams can import an OpenAPI specification to auto-generate a production-ready MCP server, then visually choose which endpoints the agent is allowed to use, without writing code. Agents can run on a choice of underlying models (OpenAI, Anthropic Claude, Google Gemini, or Rivinci's own Rinoova AI) and deploy simultaneously across Telegram, WhatsApp, and Slack, as well as an embeddable website chat widget and a WordPress plugin. A dashboard gives real-time visibility into conversations and tool invocations, and MCP servers can also be connected to external AI tools such as Claude Desktop and Cursor, or published to a public MCP marketplace. Rivinci markets a dedicated hospitality use case (hotels and restaurants answering guests 24/7 over WhatsApp and other channels) alongside broader customer-service, medical, and e-commerce use cases. Pricing runs from a free Starter tier through paid Pro and Business plans to a custom Enterprise tier with dedicated infrastructure and SLAs.
Key Features
No-Code Chatbot Builder — Configure an AI agent's name, personality, system instructions, and knowledge base without writing code.
MCP Server Hub — Import an OpenAPI specification to auto-generate a production-ready MCP (Model Context Protocol) server, then visually choose which API endpoints the agent can call as tools.
Multi-LLM Support — Choose the underlying model powering an agent from OpenAI, Anthropic Claude, Google Gemini, or Rivinci's own Rinoova AI.
Multi-Channel Deployment — Deploy the same agent simultaneously to Telegram, WhatsApp, and Slack, plus an embeddable website chat widget and an official WordPress plugin.
Real-Time Monitoring Dashboard — Track active conversations, MCP tool invocations, and performance metrics from a live dashboard.
Hospitality Guest Support — Purpose-built messaging for hotels, B&Bs, and restaurants to answer guests 24/7 over WhatsApp and other channels, recognizing returning guests across contact attempts.
MCP Marketplace & External Tool Connections — Deployed MCP servers can connect to external AI tools such as Claude Desktop and Cursor, or be published to a public MCP marketplace of community-verified servers.
Pros & Cons
Pros
Free Starter plan (1 agent, 1 MCP server, 1,000 monthly requests) lets teams try the platform before paying.
MCP Server Hub can import an OpenAPI spec and auto-generate an agent-callable tool server without custom coding.
Supports multiple underlying LLMs (OpenAI, Anthropic Claude, Google Gemini, plus Rivinci's own Rinoova AI), avoiding single-vendor lock-in.
One agent can be deployed simultaneously across Telegram, WhatsApp, Slack, an embeddable chat widget, and a WordPress plugin.
Purpose-built messaging and features for the hospitality vertical (hotel/restaurant guest support) alongside general customer-service use cases.
Cons
Enterprise pricing is not published and requires contacting sales.
Paid tier request caps are fairly low for growing teams (Pro: 50k requests/month, Business: 500k/month) before an upgrade is needed.
Combining chatbot configuration with MCP server/tool management adds technical complexity beyond a simple chatbot builder.
Log retention on the Starter and Pro plans is short (1 and 7 days respectively), limiting historical debugging or audit visibility.