Sinch Integrates Model Context Protocol to Enhance AI Communication Agents
Sinch has implemented the Model Context Protocol (MCP) to enable AI agents to handle communication tasks more effectively through its global platform, supporting smarter customer interactions.
Sinch, a leader in global customer communications, has announced the implementation of the Model Context Protocol (MCP), a standardized framework that enables AI agents to execute communication tasks seamlessly. This development is part of Sinch's broader strategy to enhance AI-powered customer engagement.
Key Highlights
- MCP Integration: Sinch's MCP implementation allows AI agents to handle communication actions—such as database queries, API calls, and customer interactions—with precision. This ensures compliance, message formatting, and delivery across 125+ languages.
- Proven Results: A global insurer autonomously manages 80% of customer requests, while a leading retailer achieved 3x higher engagement by combining conversational AI with RCS (Rich Communication Services).
- Market Trends: According to Sinch's State of Customer Communications Report, 95% of businesses are either using or planning to adopt AI in customer communications. IDC projects the AI platforms market to reach $153 billion by 2028.
Sinch's Global Reach
Sinch orchestrates 900 billion customer interactions annually across messaging, voice, email, and verification services for 175,000 businesses worldwide. With operations in 60+ countries, the platform leverages local compliance expertise and routing intelligence to ensure reliable, scalable communications.
How MCP Works
MCP provides a standardized way for AI agents to discover and execute actions across systems. For communication tasks—such as marketing campaigns, notifications, or customer service—Sinch's MCP server teaches agents:
- Which channel to use (SMS, email, etc.)
- How to format messages for different regions
- Compliance rules and delivery best practices
Developer and Ecosystem Support
Sinch's MCP server is now in developer preview with Claude, and integrates with:
- IDEs like Cursor
- Agent frameworks (OpenAI Agents SDK)
- AI workflow platforms (AgenticFlow)
- Enterprise solutions (Microsoft Azure AI Foundry, Copilot Studio)
Strategic Partnerships
Sinch strengthens its AI ecosystem through partnerships with:
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About the Author
David Chen
AI Startup Analyst
Senior analyst focusing on AI startup ecosystem with 11 years of venture capital and startup analysis experience. Former member of Sequoia Capital AI investment team, now independent analyst writing AI startup and investment analysis articles for Forbes, Harvard Business Review and other publications.